Add more docs for Feature Layer
not complete, but progress..
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@ -23,7 +23,7 @@ master_doc = 'index'
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# -- Project information -----------------------------------------------------
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project = 'Rattail Manual'
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copyright = '2021, Lance Edgar'
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copyright = '2021-2022, Lance Edgar'
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author = 'Lance Edgar'
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@ -20,6 +20,10 @@ of a batch however do belong to the Data Layer, so are described here.
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Beyond that vague conceptual definition, a "batch" in Rattail also implies the
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use of its "batch framework" - meaning there is a "batch handler" involved etc.
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And here is something hopefully worth 1000 words:
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.. image:: /_static/batch-pattern.png
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Batch Workflow
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--------------
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6
docs/features/custorders/cancellation/index.rst
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docs/features/custorders/cancellation/index.rst
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Cancellations / Other
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=====================
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TODO: obviously sometimes a customer may cancel their order before it
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arrives...then what? i'm sure it depends, as always...
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52
docs/features/custorders/entry/index.rst
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docs/features/custorders/entry/index.rst
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Entry
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=====
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Entering a new Customer Order into the system is very likely the most
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complicated part. Consider:
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The "Customer" (or in some cases a "Person") must be identified, whose
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order this will be. What if they're a new Customer/Person, not yet in
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the system? Can they be added directly to Rattail and other systems
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will be updated accordingly? Or must they be first added to the other
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system and then imported back to Rattail? (For sake of the order, can
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a "Pending Customer" record be created and then sort the rest out
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later?)
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One or more "Products" will be added to the Order. Can they order
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*any* (e.g. unit) amount or is there a "cases only" policy etc.?
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Perhaps also some other restrictions based on Department, e.g. no more
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than X cases of frozen product due to space limitations.
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Where does all that Customer and Product data come from anyway? Is it
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accurate enough to be used for creating "reliable" Order data? Is the
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Customer to be charged according to whatever price is calculated in
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the Order, or are they charged "whatever the POS rings up" etc.? Are
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discounts ever quoted in the order, vs. handled only by POS?
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Speaking of payments, does the customer need to pay up-front when
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first placing the order? Or do they pay later when they pick it up?
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Wait, what if they want to order a Product which is not yet in the
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system? Is this allowed, and if so what are the policies surrounding
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that?
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So, the Rattail feature tries to accommodate all of the above
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regardless of how you answer.
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First of all the Customer/Person and Product data should already be
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*imported* to Rattail from your POS or other system(s), before
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tackling Customer Orders. This feature assumes the underlying data is
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already squared away and accurate (within reason).
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Second, it's worth noting that the New Customer Order tool is
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implemented as a batch (see also :doc:`/data/batch/native/custorder`).
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This is important because it makes it possible to use the New Customer
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Order tool as the entry workflow for a Customer Order *even if* you do
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not track those primarily in Rattail. In other words when the batch
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is executed, it can "push" the Order data to whatever system is
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needed.
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But of course the Rattail DB has its own schema for tracking these
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Customer Orders, so the default "new batch" execution will create the
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Order directly in Rattail.
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docs/features/custorders/fulfilment/index.rst
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docs/features/custorders/fulfilment/index.rst
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Fulfilment
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==========
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In the context of Customer Orders, "fulfilment" requires that:
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* customer has paid for the product
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* customer has possession of the product
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* order data reflects these facts
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Some places will require the Customer to pay for the Order when they
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place it, in which case the first is taken care of already. But if
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not, then the physical product can be rang up at POS when they come to
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pick up.
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If the product is paid for upon pick-up then Rattail has a way to
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"automatically detect" that fulfilment has occurred (by monitoring the
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POS Transactions). But if payment happens up-front then likely some
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User must explicitly indicate to Rattail that fulfilment is complete,
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i.e. product was picked up by Customer.
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docs/features/custorders/index.rst
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docs/features/custorders/index.rst
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Customer Orders
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===============
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Presumably all retailers sell products to customers. Most will have a
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dedicated point of sale (POS) system for that.
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Additionally, some retailers let customers place orders for product
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which will arrive in store for pickup at a later date. These are
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often referred to as "special orders" or "case orders" etc.
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Rattail offers tools to facilitate entry and tracking for such orders,
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providing visibility and workflows for their full life cycle.
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.. note::
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Now that we all know what "COVID" means, online orders with
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curbside and delivery options have risen in prominence. For the
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moment Rattail does not directly provide features with those in
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mind. However this "customer orders" feature is clearly related,
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and probably a lot of the schema and/or logic could be shared
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between scenarios. But so far only the classic "special/case
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order" scenario is being addressed.
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.. toctree::
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:maxdepth: 1
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entry/index
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purchasing/index
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receiving/index
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fulfilment/index
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cancellation/index
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reporting/index
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12
docs/features/custorders/purchasing/index.rst
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docs/features/custorders/purchasing/index.rst
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Purchasing
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==========
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In the context of Customer Orders, our concern here is making sure the
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Buyer knows about them and includes them in the Purchase Order(s)
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which they are already placing to the Vendor per normal procedure.
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TODO: this has been implemented a couple of different ways thus far
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but the "best" has yet to be decided...in particular (how) should the
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customer orders and purchase orders be linked? it is a slight hassle
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up front but then can be leveraged during the receiving process...
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docs/features/custorders/receiving/index.rst
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15
docs/features/custorders/receiving/index.rst
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Receiving
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=========
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In the context of Customer Orders, our concern here is making sure the
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Receiver knows about them and sets them aside while receiving the
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Purchase Order, once it's arrived from the Vendor.
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Another concern is how/when/who should contact the Customer to notify
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them that their order has arrived. If the Customer account has a
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valid email address on file then perhaps they are emailed
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automatically; otherwise an Employee must call their phone number etc.
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In either case the *attempt* to contact the Customer should be
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recorded somehow, along with notes e.g. indicating if it was
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successful.
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52
docs/features/custorders/reporting/index.rst
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52
docs/features/custorders/reporting/index.rst
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Reporting
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=========
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Reporting on Customer Orders data is possible but as of writing is
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still being worked out.
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The asumption here is that you want to track "sales" which are
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attributable to Customer Orders.
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The "easiest" way, though potentially inaccurate, is simply to query
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the Customer Orders data and assume that if a given Order's "status"
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reflects that e.g. it has been paid for, then include it in the
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report.
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On the other hand the precise amount paid by the customer may or may
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not even be in the Customer Order data. Even if it is there, is it
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correct, or was it just an "estimate" and really a related POS
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Transaction must be consulted for the true price.
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However the Order status likely *is* important on some level, to
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detect cancellations etc. Presumably if a refund is given, the POS
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Transaction would have that amount, but there likely is nothing to tie
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that back to the particular Order which was canceled.
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So at the moment the focus is on recording "links" between a given
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Customer Order and POS Transaction. This is done by way of a
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Trainwreck DB (see also :doc:`../../transactions/importing/index`):
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A transaction is imported to Trainwreck as per usual, but in addition
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to the normal stuff, the transaction is inspected for any "indicators"
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of Customer Orders. (Often the cashier scans or enters some ID for
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the Order when ringing it up.) Such indicators are then stored in a
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dedicated place within Trainwreck. This takes care of the "high
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level" meaning we now have links between a POS Transaction and
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Customer Order.
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But really, a POS Transaction has "line items" and so does a Customer
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Order. So we actually need a link between the relevant line items.
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The line item links are established in a second phase. So the first
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phase is focused on importing POS Transaction data, and we've done
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that. But now Trainwreck has all those line items and so the
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item-level reconciliation can be done "natively". Again we already
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have the high-level links, so we fetch a linked pair (Transaction and
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Order) and then crawl each to identify item-level links, and record
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any which are found.
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Once that is complete, a Customer Orders report can more easily obtain
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accurate payment amounts from the POS Transaction data (although it
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reads from Trainwreck instead for convenience). And of course it can
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still leverage the Customer Order status etc. as needed.
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@ -2,15 +2,19 @@
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Feature Layer
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=============
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Here we'll try stay "high level" and describe some of the features
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Here we'll try to stay "high level" and describe some of the features
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which are provided by the Rattail framework, in a more or less "ready
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to go" state for use in your app.
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Note that this section is not very far along yet..
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to go" state for use in your app. We'll also describe some
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"potential" features to consider, depending on your needs.
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While technically the Rattail framework can be used for "any"
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application, the following features reflect its retail roots.
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.. toctree::
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:maxdepth: 2
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:caption: Contents:
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people/index
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products/index
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purchasing/index
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transactions/index
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custorders/index
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64
docs/features/people/customers/index.rst
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64
docs/features/people/customers/index.rst
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Customers
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=========
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In many cases it's best for Customer data to live in Rattail (usually
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in addition to POS, which is considered the authority). But possibly
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not, so let's first look at *why* you might want/need to have it in
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Rattail.
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And quickly even before that, let's just say that we're defining a
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"Customer" simply as a "patron" (shopper) of the retailer. In some
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cases Customer data is held not only in POS but also in a separate CRM
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system, etc. Your own definition of "Customer" is free to vary a bit
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in terms of how you must represent real-world concerns.
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If your POS does not expose a web app, then often there will only be a
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few machines which can be used for account lookup etc. Rattail web
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app can let you view this data directly (if it can be accessed via
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SQL), i.e. *without* importing it to Rattail. However such
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"dedicated" views for various tables in other systems are not given a
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lot of priority in terms of aesthetic or utility.
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Importing the data to Rattail means the web app can show you the data
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in (hopefully) the "best" way. That's obviously a loaded term but
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what is meant here, is that the views for native Rattail data are
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given the most attention and are what various other features are built
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on top of.
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So if we assume you *are* importing Customer data into Rattail, then
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what? You can view it, but can/should you edit it? That again
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depends on whether or not you can (or how difficult it is to) export
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the changes back to the source (or other) systems. It's *possible*
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for instance, to allow edits in Rattail web app, which then are
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automatically synced back to the POS in real-time (by a separate
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datasync daemon process). But that is a more advanced topic, and in
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most cases, at least in the beginning, you should only edit data in
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one system, which likely is *not* Rattail.
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If you want to track *extra* data for Customer records in Rattail,
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then things change again. You *would* (probably) want to import the
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data to Rattail, *not* allow edit for that particular data, but then
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*do* allow edit for only the "extra" fields. With this approach you
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get to start tracking that data while avoiding the need to export
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anything back to POS etc. Reports can be created in Rattail which
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leverage data from both systems.
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And speaking of "extra data" - that is essentially what is happening
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with the Customer Orders feature in Rattail. Underlying it is the
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Customer record itself, which was likely imported from POS, but then
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when an order is created, that is just extra data on top which never
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needs to be synced back to the POS. See also
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:doc:`../../custorders/index`.
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Finally again there is the concept of :doc:`../entry/batches`. In
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fact when creating a new Customer Order, really you are creating a
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batch and then adding items to it, finally "executing" which submits
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the order for further processing. But batch logic can be crafted to
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do anything you need with regard to Customer data maintenance. And in
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some cases a Customer-related batch may be more "accurate" if it does
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*not* use Rattail data but instead reads directly from the source
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(e.g. POS) when making the batch. Also a "New Customers" batch by
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definition would contain data not yet "in the system" - so importing
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the data to Rattail is not a requirement in order to use batch
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features generally.
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32
docs/features/people/employees/index.rst
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32
docs/features/people/employees/index.rst
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Employees
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=========
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Employee data normally comes from the POS, if it indeed comes into
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play at all. You may or may not have a reason to import or otherwise
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act on Employee data using Rattail.
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It is the User record in Rattail which is given attribution for
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changes made etc. and not the Employee. So even if a certain User is
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also an Employee, when logged in and making changes their User account
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is deemed responsible.
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Whereas a User record does not technically need to tie back to a
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Person record, an Employee record *must* tie back to a Person. When
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importing Employee data from POS, both the Person and Employee records
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are created in Rattail.
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There are certain places where an Employee *is* assumed, for instance
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the "Buyer" of a Purchase Order will reference an Employee record and
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not a User. Whereas the creation and execution of a "batch" related
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to purchasing will reference a User. (See also
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:doc:`../../purchasing/index`.)
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Rattail could also be used as a "time clock" system in which case the
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Employee records must obviously be present, for tracking times.
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You also can use Rattail to track additional info for each Employee,
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e.g. the start/end dates for their employment over time. Often an
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employee might come and go more than once, and the POS will rarely
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have a way to track historical dates. Rattail has a basic way to do
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that built-in, but more "data extensions" are of course possible.
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36
docs/features/people/entry/batches.rst
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36
docs/features/people/entry/batches.rst
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Batches
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=======
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Batches are a sort of hybrid of import/edit/export. They assume a
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certain "data set" will be brought into a dedicated workspace, using
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whatever (sometimes custom) logic, then the user previews the
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"results" before committing to it. See also :doc:`/data/batch/index`.
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For instance one common type of batch is for new Customer entry.
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Maybe there is a web form which some users fill out to enter new
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Customer records, but in fact those go into a "queue" / batch and are
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not truly injected to the system proper until the batch is reviewed
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and executed by some (possibly more highly authorized) user. This can
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be helpful not only for workflow optimization but also custom data
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validation, and/or preventing duplicates from entering the system.
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Another type might be for a periodic import to "sync" 2 systems which
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do not normally stay in sync. For instance if your POS and CRM do not
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stay in sync all the time, but maybe once a month you export the data
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from one system to Excel file, for import to the other. It is of
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course possible to make a Rattail "importer" (or "exporter" depending
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on your perspective) which could automate this. But for sake of
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better visibility and instilling confidence in the logic, you might
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prefer a batch.
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In the above example the process might be like:
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* export data from CRM to Excel
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* upload file as new batch in Rattail
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* preview the changes; execute the batch
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* which generates yet another file, e.g. CSV
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* which you then import to the POS
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There are many possibilities here; for instance more likely the batch
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writes directly to POS when executed.
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32
docs/features/people/entry/editing.rst
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32
docs/features/people/entry/editing.rst
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Editing
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=======
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Rattail makes it possible to edit most data it contains regardless of
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its nature. This of course includes Person-related data.
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However just because you *can* edit data in Rattail, does not mean you
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*should* do so. You must keep in mind, "which system is the
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authority?" for any given data point.
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In other words if you import Customer records from your POS, but then
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do not configure an export mechanism to get any changes made in
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Rattail *back* into the POS system, then by far the easiest thing is
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to just not allow editing in Rattail. But you still can view the
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data, and use various app features which leverage the data (e.g.
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:doc:`../../custorders/index`).
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However if you *do* configure export mechanisms then you may want to
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allow editing directly in Rattail. This can be any data point which
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is supported by the export mechanism. For instance if you allow
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editing of a Customer name in Rattail, the change could be synced back
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to POS.
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But it's also possible for Rattail to contain "more" data than the
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source (e.g. POS) system does. For instance your POS DB may have a
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field to track the "birthday" for each Customer, but maybe you also
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need to track their "favorite color" and the POS DB does not provide a
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way to do that. In this case you can import Customer records from POS
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into Rattail, and then allow editing in Rattail only for the "favorite
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color" field. Best of both worlds, you can now track whatever you
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want with no need to export data back to the source system.
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42
docs/features/people/entry/exporting.rst
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42
docs/features/people/entry/exporting.rst
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Exporting
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=========
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Once you have Person-related data in Rattail, you can export it
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"anywhere else" you need. This may be an Excel file, SQL DB, web API
|
||||
etc. but for the sake of this discussion we'll assume data is to be
|
||||
exported back to the POS system.
|
||||
|
||||
In fact the export features do not require you to first import the
|
||||
data to Rattail. Every export that could be done "from Rattail DB"
|
||||
could also be done e.g. "from POS DB". For instance that's exactly
|
||||
what happens when data is imported from the POS into Rattail, it is
|
||||
just another way of saying "export from POS to Rattail" and therefore
|
||||
you can export straight from your POS to e.g. some web API for mailing
|
||||
list or online shopping etc.
|
||||
|
||||
An export is "reading" data from e.g. Rattail or POS DB, and then
|
||||
"writing" it somewhere else. The reading part is pretty
|
||||
straightforward but the writing part may have limitations depending on
|
||||
your target. As a rule Rattail is willing to read directly from a SQL
|
||||
DB but will always write data via some more "official" route,
|
||||
i.e. documented API. Which means the writing "possibilities" are
|
||||
limited to what the API exposes. Whereas exporting to e.g. Excel file
|
||||
would not have such a limitation, but may have others (e.g. file
|
||||
size).
|
||||
|
||||
So how is data exported back to the POS specifically, for example?
|
||||
That definitely will depend on your POS system, and as of writing only
|
||||
3 are well supported.
|
||||
|
||||
If you're lucky enough to run a SIL-compliant POS then a great deal is
|
||||
possible; Rattail can generate SIL files which add/modify data of
|
||||
nearly any kind.
|
||||
|
||||
If your POS exposes a web API then Rattail can use that to write some
|
||||
data. At this point in time these are rather limited though.
|
||||
|
||||
If writing directly to POS SQL DB is an option for you, then Rattail
|
||||
can certainly accommodate. It should be stressed that this is **not
|
||||
ideal** as it would likely bypass any data validation, audit trail
|
||||
etc. that the POS may be doing were an official channel used instead.
|
27
docs/features/people/entry/importing.rst
Normal file
27
docs/features/people/entry/importing.rst
Normal file
|
@ -0,0 +1,27 @@
|
|||
|
||||
Importing
|
||||
=========
|
||||
|
||||
The most common scenario involves Rattail importing most
|
||||
Person-related data from other (e.g. POS or CRM) systems.
|
||||
|
||||
However it should be noted that Rattail is meant to live "alongside"
|
||||
the other systems, it is not normally going to "replace" them - and
|
||||
this means Rattail must *continually* import data from the other
|
||||
systems, to remain accurate. This may be done nightly, or hourly, or
|
||||
even in "real-time" (e.g. once every few seconds, or 5 minutes) -
|
||||
whatever is needed and/or is possible given the system constraints.
|
||||
|
||||
One immediate feature that comes "for free" when importing data into
|
||||
Rattail, is its versioning history, aka. audit trail. Each time an
|
||||
import actually *changes* a record in Rattail, the new data is
|
||||
separately stored as a "version" record along with the timestamp and
|
||||
the "user" who made the change. In the case of import, the "user" is
|
||||
the system from which data is being imported; a dedicated User account
|
||||
is created for this purpose (which does not tie back to any Person).
|
||||
|
||||
We're talking here of importing data from e.g. POS into Rattail. But
|
||||
if it's also possible to "import" e.g. new Customer records into your
|
||||
POS or other system, then Rattail can also be used as a workflow tool
|
||||
to assist with organizing new records for import to your other system.
|
||||
See :doc:`batches` for more about that.
|
16
docs/features/people/entry/index.rst
Normal file
16
docs/features/people/entry/index.rst
Normal file
|
@ -0,0 +1,16 @@
|
|||
|
||||
Entry
|
||||
=====
|
||||
|
||||
Here we'll discuss how various Person-related records are first
|
||||
entered into the system, and how they are maintained going forward.
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 1
|
||||
|
||||
overview
|
||||
importing
|
||||
editing
|
||||
exporting
|
||||
batches
|
||||
merging
|
44
docs/features/people/entry/merging.rst
Normal file
44
docs/features/people/entry/merging.rst
Normal file
|
@ -0,0 +1,44 @@
|
|||
|
||||
Merging
|
||||
=======
|
||||
|
||||
Rattail ostensibly supports merging any 2 records, of any kind. But
|
||||
the devil is always in the details...
|
||||
|
||||
In most cases a merge involves:
|
||||
|
||||
* inspect differences between 2 records
|
||||
* choose which one to "keep" vs. "remove"
|
||||
* perform the merge, which:
|
||||
|
||||
* may *update* the "keep" record, with certain data from the "remove" record
|
||||
* then *deletes* the "remove" record
|
||||
|
||||
For some things this can be pretty straightforward, for instance if
|
||||
your User records are maintained only in Rattail and aren't imported
|
||||
from elsewhere, then a merge of 2 User records could by definition
|
||||
only affect Rattail anyway.
|
||||
|
||||
Although even that example can be tricky, because a User is often
|
||||
involved in some audit trail(s) of various other data records. In
|
||||
such cases Rattail can update the historical records to reflect the
|
||||
new "keep" User record; but in practice there may be edge cases as yet
|
||||
unexplored.
|
||||
|
||||
Customer and Employee records etc. can present more of a challenge,
|
||||
because often that data lives in multiple systems. The question
|
||||
becomes, what should a merge actually *do*, i.e. what should the
|
||||
ideal outcome be?
|
||||
|
||||
In particular your POS may have 2 customer records which you'd like to
|
||||
merge, but even if your ideal outcome is for one of them to be deleted
|
||||
(i.e. typical use case described above), the problem of historical
|
||||
data may come up again. Often times both of the customer records will
|
||||
already have accrued some transaction history within your POS, and it
|
||||
may not be possible or practical to correct those with the new
|
||||
("keep") customer reference.
|
||||
|
||||
But the merge tool is meant to be as flexible as is reasonable. Your
|
||||
merge logic might be able to go ahead with certain "simple" merges but
|
||||
then raise an error when complex situations are encountered. Then you
|
||||
can look more closely at those and see what can be done (if anything).
|
32
docs/features/people/entry/overview.rst
Normal file
32
docs/features/people/entry/overview.rst
Normal file
|
@ -0,0 +1,32 @@
|
|||
|
||||
Overview
|
||||
========
|
||||
|
||||
In most cases the Person-related data already lives in a (e.g. POS)
|
||||
SQL database and may be queried directly by Rattail. This means you
|
||||
may view that data directly in the web app.
|
||||
|
||||
All of the Person-related records may also be *imported* into Rattail
|
||||
from other systems, and this is usually the best place to get started;
|
||||
see :doc:`importing`.
|
||||
|
||||
Once the data lives in Rattail you obviously may view it within the
|
||||
web app (so, reading from Rattail DB instead of POS DB now). But this
|
||||
also sets the stage for other features which require such data to be
|
||||
in place; for instance :doc:`../../custorders/index`.
|
||||
|
||||
You also may want to allow editing for some or perhaps all aspects;
|
||||
see :doc:`editing`.
|
||||
|
||||
The data (and any changes made via editing, if applicable) may also be
|
||||
exported back to the source and/or other systems; see
|
||||
:doc:`exporting`.
|
||||
|
||||
Sometimes you need to process a "set" of data, for instance taking an
|
||||
export file from one system and then preparing it for import to
|
||||
another system. This is a broad topic; for a starting point see
|
||||
:doc:`batches`.
|
||||
|
||||
Duplicate records are an ongoing problem in many systems, when it
|
||||
comes to Person-related data. Rattail does allow merging of 2 records
|
||||
but it can be tricky; see :doc:`merging`.
|
53
docs/features/people/household/index.rst
Normal file
53
docs/features/people/household/index.rst
Normal file
|
@ -0,0 +1,53 @@
|
|||
|
||||
Household / Shared Accounts
|
||||
===========================
|
||||
|
||||
A common scenario is where a Customer (or Employee, or Member) is able
|
||||
to "share" benefits of their account, with their immediate household.
|
||||
There may be other variations but we'll stick with that example here.
|
||||
|
||||
Although to clarify, while many e.g. retail food co-ops may consider
|
||||
the "Household" concept to be an extension of a "Member" account
|
||||
specifically, Rattail instead considers it a logical extension of the
|
||||
"Customer" account. This is because the benefits which are extended
|
||||
to the household normally apply to "shopping" specifically, and
|
||||
Rattail uses the "Customer" concept to represent that. (Same holds
|
||||
true for a more traditional retailer which might extend benefits to
|
||||
the Household of an Employee - the Household will still fall under a
|
||||
Customer account logically.)
|
||||
|
||||
So it might be possible for Rattail to add a broader / more generic
|
||||
"Household" concept later, but for now it's all about Customers. (And
|
||||
a Member account is normally tied to a Customer account, so it's not
|
||||
much more than a difference of semantics.)
|
||||
|
||||
Okay! With that out of the way...
|
||||
|
||||
Household accounts can be tricky. For instance are these people
|
||||
actually tracked in your system? (Do they need to be?) If so are
|
||||
they tracked as separate accounts or just minimal (e.g. name) info
|
||||
somehow tacked onto the main account? In particular how are the
|
||||
accounts represented in your POS system?
|
||||
|
||||
Rattail can be used to help track e.g. Household-related links between
|
||||
various Person and/or Customer records. What you do with such links
|
||||
is up to you of course, but some ideas:
|
||||
|
||||
If your POS allows for it, you might have Rattail keep the POS in sync
|
||||
for (at least certain types of) changes to Household-related accounts.
|
||||
For instance in the dynamic coupon scenario, let's say you do maintain
|
||||
separate POS accounts for the "parent" Customer as well as the
|
||||
Household "shopper". When a coupon is given it may be enabled for
|
||||
both of the accounts, but then when it is redeemed by either it
|
||||
becomes disabled for both.
|
||||
|
||||
Now, maybe your POS already has a way to link Household accounts, and
|
||||
even a way to handle the dynamic coupon example. But then that sounds
|
||||
like you already have a good enough system and don't need Rattail to
|
||||
be the Household "system" at all. Although it could still be used for
|
||||
reporting and similar needs, etc.
|
||||
|
||||
So if your current situation is "not ideal" then Rattail is here to
|
||||
help in whatever way it can; however it's difficult to describe the
|
||||
scenarios it might best be suited for, until more real-world scenarios
|
||||
are dealt with.
|
22
docs/features/people/index.rst
Normal file
22
docs/features/people/index.rst
Normal file
|
@ -0,0 +1,22 @@
|
|||
|
||||
People
|
||||
======
|
||||
|
||||
Rattail considers the Person to be a central concept, which underpins
|
||||
various other concepts such as User, Customer etc. and ideally ties
|
||||
them together (e.g. one Person may be both a Customer and Employee).
|
||||
|
||||
Rattail can import this data from other (e.g. POS) systems, but it
|
||||
also can *export* data to other systems. And once this data is in
|
||||
Rattail it can be used for other features as needed; for instance
|
||||
:doc:`../custorders/index`.
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
|
||||
entry/index
|
||||
users/index
|
||||
employees/index
|
||||
customers/index
|
||||
members/index
|
||||
household/index
|
80
docs/features/people/members/index.rst
Normal file
80
docs/features/people/members/index.rst
Normal file
|
@ -0,0 +1,80 @@
|
|||
|
||||
Members
|
||||
=======
|
||||
|
||||
As with Employee and Customer data, the first questions regarding
|
||||
Member data are: What is it, and what does it have to do with Rattail?
|
||||
|
||||
Rattail's concept of a "Member" comes primarily from the world of
|
||||
retail food co-ops, where a Member is more like a Customer than an
|
||||
Employee. But there exist also worker co-ops, where a Member is
|
||||
really more like an Employee. Rattail's Member features are meant to
|
||||
acommodate both scenarios.
|
||||
|
||||
Members often have some equity account associated with them, with join
|
||||
and (where applicable) withdrawal dates, and usually also a payment
|
||||
history for the equity.
|
||||
|
||||
So if your organization has a membership component, then you most
|
||||
likely already have some way to track accounts and equity etc. Why
|
||||
bring it into Rattail?
|
||||
|
||||
As usual the first answer is simple visibility. For instance you
|
||||
might be tracking accounts in a spreadsheet or Microsoft Access, or
|
||||
any of a number of similar "undesirable" solutions. Even if you
|
||||
continue with that tracking approach, you also could periodically
|
||||
import data to Rattail just so it can be more easily viewed by others
|
||||
via the web app.
|
||||
|
||||
And part of visibility is cross-referencing related data. Maybe you
|
||||
already have a good way to view accounts, but you have no way to view
|
||||
an account alongside its equity, or perhaps POS Transaction history
|
||||
etc. Showing the various types of data on one screen (maybe with a
|
||||
link back to the other system) can be quite helpful in some cases.
|
||||
|
||||
Another potential feature is to send email reminders to Members who
|
||||
have an upcoming payment due, etc. based on their account details.
|
||||
And it's possible to monitor an IMAP folder for any "bounces" that
|
||||
result from sending such reminders, in which case can e.g. flag the
|
||||
account as having a bad email on file.
|
||||
|
||||
Similarly a Member account status may dynamically affect which
|
||||
discounts are available to their Customer account at the POS. This
|
||||
idea depends on the ability to effect certain changes in the POS
|
||||
system, e.g. add/remove electronic coupons for an account.
|
||||
|
||||
But..everything just stated is technically possible *without*
|
||||
importing the data to Rattail. So still at this point we've not
|
||||
established a good reason to actually import it.
|
||||
|
||||
You can of course create batches for performing account maintenance in
|
||||
whatever way is needed. Same general "rules" apply as for other
|
||||
(e.g. Customer) tables. Member data need not be imported into Rattail
|
||||
in order to use the batch features.
|
||||
|
||||
But unlike the Customer data, where the POS is frequently the obvious
|
||||
"authority", many times Member data is *not* tracked (well) by the
|
||||
POS, and so custom spreadsheet workflows or similar tactics are
|
||||
employed to keep track of it.
|
||||
|
||||
So this finally is why you *might* want to import it into Rattail.
|
||||
Any tasks being managed via spreadsheet workflows (or whatever) can
|
||||
instead be managed directly in the web app.
|
||||
|
||||
If you choose this route, a couple of implications:
|
||||
|
||||
Rattail becomes your primary Member system, and you (presumably /
|
||||
ideally) no longer need your previous system for that, other than to
|
||||
keep it as an archive.
|
||||
|
||||
Data is maintained directly in the web app, for instance creating a
|
||||
new Member account, or withdrawing one etc. Also equity payments
|
||||
could be entered directly if they happen outside of the POS, e.g. when
|
||||
someone mails a check.
|
||||
|
||||
But equity payments still likely will happen in the POS also. And for
|
||||
this to work "seamlessly" it means Rattail must monitor the POS
|
||||
Transactions which occur, at whatever frequency is acceptable. Near
|
||||
real-time is possible and in some cases necessary for sake of dynamic
|
||||
coupons etc. But in other cases a nightly processing of the previous
|
||||
day's transactions may be sufficient.
|
39
docs/features/people/users/index.rst
Normal file
39
docs/features/people/users/index.rst
Normal file
|
@ -0,0 +1,39 @@
|
|||
|
||||
Users
|
||||
=====
|
||||
|
||||
Users are a bit unique in the realm of Person-related data, because
|
||||
it's often the case that they are *not* imported from some other
|
||||
system, being instead maintained only in Rattail. (Of course it *is*
|
||||
still possible to import User records from another system.)
|
||||
|
||||
When you first setup a Rattail system you create the first "admin"
|
||||
User. You then login as that User and can create other Users as
|
||||
needed, depending on who needs access. For more info see also
|
||||
:doc:`/data/auth`.
|
||||
|
||||
It's possible to tie a User record to a Person record, although
|
||||
technically not required. It is recommended since it opens up other
|
||||
possibilities, for instance the app might present different features
|
||||
based on some other related aspects e.g. of the Employee record of the
|
||||
current User.
|
||||
|
||||
It's also common to create dedicated User accounts to represent the
|
||||
other systems involved, e.g. your POS. Such accounts do not tie back
|
||||
to any Person and exist only for sake of attributing changes to the
|
||||
applicable system, when data is imported to Rattail.
|
||||
|
||||
The username for each User must be unique. Passwords are stored using
|
||||
1-way encryption, so are not recoverable and must be reset if lost.
|
||||
|
||||
It is possible to authenticate users against something other than
|
||||
Rattail, instead of or in addition to normal Rattail authentication.
|
||||
For instance it can check LDAP, or a corresponding employee table in
|
||||
your POS DB (e.g. if those credentials are stored as plain text).
|
||||
|
||||
It is also possible for Rattail to auto-create users upon first login,
|
||||
if authenticating from another system like that. If your permissions
|
||||
are setup such that *any* "authenticated" (i.e. logged in) user has
|
||||
access to certain features, this may be a useful option for you. In
|
||||
some cases you may also need to add logic to auto-assign the
|
||||
newly-created user to some particular role(s) based on whatever...
|
5
docs/features/products/entry/index.rst
Normal file
5
docs/features/products/entry/index.rst
Normal file
|
@ -0,0 +1,5 @@
|
|||
|
||||
Entry
|
||||
=====
|
||||
|
||||
TODO
|
14
docs/features/products/index.rst
Normal file
14
docs/features/products/index.rst
Normal file
|
@ -0,0 +1,14 @@
|
|||
|
||||
Products
|
||||
========
|
||||
|
||||
stuff here
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 1
|
||||
|
||||
entry/index
|
||||
vendors/index
|
||||
pricing/index
|
||||
labels/index
|
||||
inventory/index
|
5
docs/features/products/inventory/index.rst
Normal file
5
docs/features/products/inventory/index.rst
Normal file
|
@ -0,0 +1,5 @@
|
|||
|
||||
Inventory
|
||||
=========
|
||||
|
||||
TODO
|
5
docs/features/products/labels/index.rst
Normal file
5
docs/features/products/labels/index.rst
Normal file
|
@ -0,0 +1,5 @@
|
|||
|
||||
Labels
|
||||
======
|
||||
|
||||
TODO
|
5
docs/features/products/pricing/index.rst
Normal file
5
docs/features/products/pricing/index.rst
Normal file
|
@ -0,0 +1,5 @@
|
|||
|
||||
Pricing
|
||||
=======
|
||||
|
||||
TODO
|
5
docs/features/products/vendors/index.rst
vendored
Normal file
5
docs/features/products/vendors/index.rst
vendored
Normal file
|
@ -0,0 +1,5 @@
|
|||
|
||||
Vendors / Catalogs
|
||||
==================
|
||||
|
||||
TODO
|
|
@ -2,4 +2,7 @@
|
|||
Accounting
|
||||
==========
|
||||
|
||||
TODO
|
||||
TODO: while this is "virtually" supported as a 3rd phase, it has not
|
||||
been "fully" implemented in production. in practice the 2nd
|
||||
(receiving) phase is taking care of accounting duties thus far. see
|
||||
also :doc:`../receiving/accounting`.
|
||||
|
|
|
@ -1,16 +1,21 @@
|
|||
|
||||
Purchasing
|
||||
==========
|
||||
Purchase Orders
|
||||
===============
|
||||
|
||||
Presumably all retailers purchase products from vendors.
|
||||
|
||||
Rattail offers tools to assist with the various workflows involved.
|
||||
It splits the life cycle into 3 "phases" - although some purchases may
|
||||
not explicitly go through every phase. In particular it's possible
|
||||
for the Receiving phase to include everything Accounting does.
|
||||
It splits the life cycle into 3 "phases" - Ordering, Receiving,
|
||||
Accounting.
|
||||
|
||||
Some purchases may not explicitly go through every phase. In
|
||||
particular it's possible for the Receiving phase to include everything
|
||||
Accounting does, and in many cases Ordering is skipped (wrt the
|
||||
system), with the PO first "entering the system" in the Receiving
|
||||
phase.
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 1
|
||||
:maxdepth: 2
|
||||
|
||||
ordering/index
|
||||
receiving/index
|
||||
|
|
22
docs/features/purchasing/ordering/additems.rst
Normal file
22
docs/features/purchasing/ordering/additems.rst
Normal file
|
@ -0,0 +1,22 @@
|
|||
|
||||
Adding Items
|
||||
============
|
||||
|
||||
When creating a new Purchase Order using Rattail, the user first makes
|
||||
a new Ordering batch, then adds items to it.
|
||||
|
||||
There are three main "workflows" for adding the items.
|
||||
|
||||
The first is where the user sees the (at first empty) batch and then
|
||||
does some sort of product lookup to identify an item to add. The
|
||||
lookup/add process is repeated as needed.
|
||||
|
||||
The other way is what Rattail calls the "worksheet view" - but it's
|
||||
only suitable for vendors with relatively small product lines. In
|
||||
this view the user is presented with a "worksheet" form. All items
|
||||
available from the vendor are visible on the worksheet, and the user
|
||||
enters desired quantities for applicable line items.
|
||||
|
||||
There also is a mobile interface for ordering, which if used on a
|
||||
smart phone with bluetooth scanner attached, can be used for
|
||||
"in-aisle" ordering by scanning shelf tags.
|
21
docs/features/purchasing/ordering/convertpo.rst
Normal file
21
docs/features/purchasing/ordering/convertpo.rst
Normal file
|
@ -0,0 +1,21 @@
|
|||
|
||||
Converting a PO
|
||||
===============
|
||||
|
||||
This is given its own section just to better clarify.
|
||||
|
||||
The "purpose" of an Ordering batch in Rattail can vary. Presumably
|
||||
the most common use is to actually assemble a new PO, to be submitted
|
||||
to the vendor.
|
||||
|
||||
But this batch type can also be used to "convert" any arbitrary PO
|
||||
data, to any other format/system. You might have multiple different
|
||||
ordering "systems" which vary by vendor etc. If so then you could
|
||||
process PO data from each of these, as separate Ordering batches.
|
||||
Executing each batch would then produce whatever output you needed for
|
||||
them to be in a "common" format etc.
|
||||
|
||||
Probably the most common scenario for this is where you want to import
|
||||
the PO data into your POS system. This lets it know that the product
|
||||
is "on order" and will be what receiving happens against, once the
|
||||
order arrives from the vendor.
|
22
docs/features/purchasing/ordering/execution.rst
Normal file
22
docs/features/purchasing/ordering/execution.rst
Normal file
|
@ -0,0 +1,22 @@
|
|||
|
||||
Batch Execution
|
||||
===============
|
||||
|
||||
Often the user will have made an Ordering batch and added items to it
|
||||
"manually" when assembling their order.
|
||||
|
||||
But in some cases the PO data will have been imported from some other
|
||||
system, or perhaps a CSV file, with the goal being just to get it into
|
||||
the POS system.
|
||||
|
||||
Regardless of how the batch data was obtained (e.g. from file, or user
|
||||
input), ultimately the batch will be executed. So what does that do?
|
||||
|
||||
This basically depends on what you need it to do... For instance in
|
||||
the CSV file example just mentioned, if your goal is merely to get the
|
||||
PO data into the POS system, then that's what executing the batch
|
||||
should do.
|
||||
|
||||
It is possible also to make batch execution actually "submit"
|
||||
(e.g. email) the purchase order to the vendor, although this is less
|
||||
common in practice.
|
|
@ -2,4 +2,12 @@
|
|||
Ordering
|
||||
========
|
||||
|
||||
TODO
|
||||
All about *ordering* product from the vendor.
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 3
|
||||
|
||||
overview
|
||||
additems
|
||||
execution
|
||||
convertpo
|
||||
|
|
27
docs/features/purchasing/ordering/overview.rst
Normal file
27
docs/features/purchasing/ordering/overview.rst
Normal file
|
@ -0,0 +1,27 @@
|
|||
|
||||
Overview
|
||||
========
|
||||
|
||||
Ordering is when the retailer expresses to the vendor, their interest
|
||||
in purchasing some of their product for resale to their customers.
|
||||
The retailer promises to pay for the product, so the vendor should
|
||||
ship it to them ASAP.
|
||||
|
||||
If the retailer has things "dialed in" then ordering may be fully or
|
||||
partially automatic, aka. "suggested ordering" where the purchase
|
||||
order is auto-generated based on current inventory levels.
|
||||
|
||||
Rattail does not (yet?) offer any tools for suggested ordering. It
|
||||
does though offer tools for the more classic scenario, where the buyer
|
||||
"manually" assembles the purchase order.
|
||||
|
||||
It does this using a batch. The buyer creates a new Ordering batch
|
||||
for the given vendor, and then adds items to it.
|
||||
|
||||
Adding items may be done in a few ways. These are discussed in
|
||||
:doc:`additems`.
|
||||
|
||||
One way or another the batch is populated, then ultimately executed.
|
||||
Read more about that in :doc:`execution`.
|
||||
|
||||
We also share some thoughts here, on :doc:`convertpo`.
|
47
docs/features/transactions/importing/index.rst
Normal file
47
docs/features/transactions/importing/index.rst
Normal file
|
@ -0,0 +1,47 @@
|
|||
|
||||
Importing
|
||||
=========
|
||||
|
||||
So, the POS is ringing transactions but now you want to *import* those
|
||||
to another system? Why?
|
||||
|
||||
The most frequent "use" for transaction data is probably to report on
|
||||
sales trends etc. That is covered more in the next section,
|
||||
:doc:`../reporting/index`. And commonly, it is done directly from the
|
||||
POS DB.
|
||||
|
||||
But there are other uses for the data, and even if reporting is your
|
||||
*only* use, it still may be helpful to import it first, as will
|
||||
(hopefully) be explained.
|
||||
|
||||
Rattail has a separate / dedicated DB for this scenario, meant to
|
||||
contain only POS (and similar) transaction data. This is referred to
|
||||
as the "Trainwreck" DB; see also :doc:`/data/trainwreck`.
|
||||
|
||||
If you *do* import transaction data then here are some implications:
|
||||
|
||||
* you ultimately decide the schema, though default is likely sufficient
|
||||
* schema is ideally *simpler* than "raw" POS transaction data
|
||||
|
||||
* (in some cases POS transaction data is not even in SQL DB, but a file)
|
||||
|
||||
* SQL reporting can then happen on the (simple!) Trainwreck data
|
||||
|
||||
But those are just the obvious ones; here are some more advanced:
|
||||
|
||||
* additional calculations may be made, e.g. custom "patronage" amount
|
||||
for each transaction
|
||||
* other data points known at time of transaction, may be recorded
|
||||
within it; e.g.:
|
||||
|
||||
* current account status of customer or member
|
||||
* current [sub]department of each product sold
|
||||
* "links" between transaction/items and related customer order(s)
|
||||
|
||||
* (this makes reporting on the Customer Orders possible, or at
|
||||
least much easier!)
|
||||
|
||||
* transaction may later be "re-assigned" to a [different] customer,
|
||||
with subsequent reports reflecting the change
|
||||
|
||||
* (e.g. for attributing patronage to correct member for annual refund)
|
17
docs/features/transactions/index.rst
Normal file
17
docs/features/transactions/index.rst
Normal file
|
@ -0,0 +1,17 @@
|
|||
|
||||
POS Transactions
|
||||
================
|
||||
|
||||
Presumably all retailers have a dedicated point of sale (POS) system
|
||||
which is where most if not all transactions occur.
|
||||
|
||||
Rattail is not and likely will never be a POS system, so it's not
|
||||
concerned with faciliating the transaction, but rather in "harvesting"
|
||||
its data for whatever purposes you may have.
|
||||
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 1
|
||||
|
||||
importing/index
|
||||
reporting/index
|
57
docs/features/transactions/reporting/index.rst
Normal file
57
docs/features/transactions/reporting/index.rst
Normal file
|
@ -0,0 +1,57 @@
|
|||
|
||||
Reporting
|
||||
=========
|
||||
|
||||
Reporting on POS Transaction data is obviously standard practice.
|
||||
Almost certainly your POS system already provides a way to do that.
|
||||
|
||||
Rattail considers its job here to be, "make more things more easily
|
||||
possible" - which is only needed if your existing reports are lacking
|
||||
in some way. Some specific goals here include:
|
||||
|
||||
If your POS Transaction data is already held in a SQL database, which
|
||||
you can query, then the "hardest" part of a report really should just
|
||||
be crafting the SQL query. For the common use case of generating an
|
||||
Excel file with report data, Rattail can provide basically everything
|
||||
but the SQL statement.
|
||||
|
||||
Reports available to Rattail may be generated via the web app. A
|
||||
report may accept/require certain parameters, which the user provides
|
||||
when generating.
|
||||
|
||||
When a report is generated the output file is "saved" for later
|
||||
viewing in the web app, along with details of who generated it etc.
|
||||
|
||||
It's possible to automate report generation, although at this time it
|
||||
can't be done via web app.
|
||||
|
||||
So that's why you might want to use Rattail for reporting on POS
|
||||
Transaction data generally. But it's often the case that the "raw"
|
||||
(native) schema for POS Transaction data is a bit complex, and this
|
||||
can make crafting the SQL queries difficult.
|
||||
|
||||
Additionally, the POS Transaction data may not even be in a SQL DB to
|
||||
begin with; some store it in a file, e.g. XML.
|
||||
|
||||
And not to mention, this data may not even have everything you need
|
||||
for your report. You may need to query additional systems etc. to
|
||||
supplement the transaction data in order to "complete" the report.
|
||||
|
||||
So first of all that is of course possible. Any report can read data
|
||||
from any "normal" place - SQL DB, file, web API, etc. and combine such
|
||||
data as needed.
|
||||
|
||||
But in the case of POS Transactions specifically, the process of
|
||||
reading data from disparate sources and combining, can be "expensive"
|
||||
in terms of compute power/time. Also you *may* need to do essentially
|
||||
the same thing for multiple reports.
|
||||
|
||||
And this is where Trainwreck comes in - the idea being that you
|
||||
*import* the POS Transactions data from the source, into the
|
||||
Trainwreck DB. It's a *little* like running a one-time report to
|
||||
"translate" the transaction data into a simpler format, with all
|
||||
supplemental data merged in as needed.
|
||||
|
||||
Once the data is in Trainwreck you can write reports against that to
|
||||
your heart's content. They will get to query a simpler schema and all
|
||||
that extra data is right there with it.
|
Loading…
Reference in a new issue