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Purchase Analysis report
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========================
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.. |PO| replace:: :abbr:`PO (purchase order)`
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.. |POs| replace:: :abbr:`POs (purchase orders)`
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The *Purchase Analysis* report provides statistics about products purchased using Odoo's
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**Purchase** app. This data is useful for gaining a deeper understanding of key metrics related to
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purchase orders (POs), including the quantity of products ordered and received, the amount of time
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it takes to receive purchased products, and more.
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To open the Purchase Analysis report, navigate to :menuselection:`Purchase app --> Reporting -->
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Purchase`.
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.. important::
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The :guilabel:`Purchase Analysis` report is one of many reports available across the Odoo app
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suite. This documentation only covers the measures specific to the :guilabel:`Purchase Analysis`
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report, along with a few use case examples.
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For a full overview of the basic features available in most Odoo reports, see the documentation
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on :doc:`reporting essentials <../../../essentials/reporting>`.
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Measures
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========
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*Measures* refer to the various datasets that can be displayed on the :guilabel:`Purchase Analysis`
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report, with each dataset representing a key statistic about |POs| or products. To choose a measure,
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click the :guilabel:`Measures` :icon:`fa-caret-down` button, and select one of the options from the
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drop-down menu:
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- :guilabel:`# of Lines`: The number of |PO| order lines, across all |POs|.
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- :guilabel:`Average Cost`: The average cost of |POs|.
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- :guilabel:`Days to Confirm`: The number of days it takes to confirm a |PO|.
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- :guilabel:`Days to Receive`: The number of days it takes to receive the products in a |PO|.
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- :guilabel:`Gross Weight`: The total weight of purchased products.
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- :guilabel:`Qty Billed`: The quantity of a product (or products) for which the vendor has already
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been billed.
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- :guilabel:`Qty Ordered`: The quantity of a product (or products) ordered.
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- :guilabel:`Qty Received`: The quantity of an ordered product (or products) received.
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- :guilabel:`Qty to be Billed`: The quantity of an ordered product (or products) for which the
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vendor has yet to be billed.
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- :guilabel:`Total`: The total amount spent, including tax.
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- :guilabel:`Untaxed Total`: The total amount spent, excluding tax. This measure is selected by
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default.
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- :guilabel:`Volume`: The total volume of ordered products, for products which are measured by
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volume.
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- :guilabel:`Count`: The total count of |POs|.
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.. tip::
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Only one measure can be selected at a time when one of the :icon:`fa-area-chart`
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:guilabel:`(graph view)` options is enabled. However, multiple measures, and varying group-by
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criteria (on the x and y axes), can be selected when using the :icon:`oi-view-pivot`
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:guilabel:`(pivot table)`.
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.. _purchase/purchase-analysis-example:
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Use case: determine days to receive products from each vendor
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=============================================================
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One possible use case for the :guilabel:`Purchase Analysis` report is determining how long each
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vendor takes to deliver purchased items. This allows companies to make better informed decisions
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about which vendors they want to purchase from.
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.. example::
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A local bike shop, *Bike Haus*, sells high-quality unicycles, bicycles, tricycles, and all the
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accessories needed to ride and maintain them. They purchase their inventory from a few different
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vendors, and then sell those products on to customers through their storefront.
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Recently, Bike Haus has decided to have their purchasing manager, David, look into how long it
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has taken each of their vendors to deliver the items they've purchased during the current year,
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2024.
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David starts by navigating to :menuselection:`Purchase app --> Reporting --> Purchase`, and
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selecting the :icon:`fa-bar-chart` (bar chart) graph type at the top of the report.
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Next, he clicks the :icon:`fa-caret-down` :guilabel:`(toggle)` button on the right of the search
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bar to open its drop-down menu. In the :guilabel:`Confirmation Date` filter section, he makes
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sure that **only** the :guilabel:`2024` filter is enabled. Then, he selects the
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:guilabel:`Vendor` option in the :guilabel:`Group By` section, before clicking away from the
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drop-down menu to close it.
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Finally, David clicks on the :guilabel:`Measures` :icon:`fa-caret-down` drop-down menu, and
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selects the :guilabel:`Days to Receive` option.
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With all of these options enabled, the :guilabel:`Purchase Analysis` report shows a bar chart,
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with one bar for each vendor, representing the average number of days it takes to receive
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products purchased from the vendor.
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Using this data, David can see that it takes Bike Friends over 4.5 days, on average, to deliver
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purchased products. This is more than four times the amount of time it takes any other vendor.
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Based on these findings, David makes the decision to reduce the quantity of products purchased
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from Bike Friends.
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.. image:: analyze/dtr.png
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:align: center
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:alt: The Purchase report, showing the average days to receive products from vendors.
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Use case: compare vendor POs for two time periods
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=================================================
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Another use for the :guilabel:`Purchase Analysis` report is to compare key statistics about |POs|
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for two different time periods, for a specific vendor. By doing so, it is easy to understand how
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purchases from the vendor have increased or decreased.
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.. example::
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Following the :ref:`previous example <purchase/purchase-analysis-example>`, it has been one month
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since Bike Haus decided to reduce the quantity of products purchased from Bike Friends, one of
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their retailers. Bike Haus' purchasing manager, David, wants to understand the impact this
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decision has had on the amount of money they have spent on Bike Friends products.
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David starts by navigating to :menuselection:`Purchase app --> Reporting --> Purchase`. Then, he
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selects the :icon:`oi-view-pivot` :guilabel:`(pivot table)` option at the top of the screen.
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In the search bar, he types `Bike Friends`, and clicks :guilabel:`Enter`, so the report only
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shows data for purchases from Bike Friends.
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Then, David clicks the :icon:`fa-caret-down` :guilabel:`(toggle)` button on the right of the
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search bar to open its drop-down menu. In the :guilabel:`Confirmation Date` field, he leaves the
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:guilabel:`June` and :guilabel:`2024` filters enabled. He also selects :guilabel:`Confirmation
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Date: Previous Period` in the :guilabel:`Comparison` section, before clicking away from the
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drop-down menu to close it.
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Next, David clicks on the :guilabel:`Measures` :icon:`fa-caret-down` drop-down menu. He leaves
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the :guilabel:`Total` and :guilabel:`Untaxed Total` datasets enabled, and disables the
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:guilabel:`Order` and :guilabel:`Count` datasets.
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Finally, David clicks the :icon:`fa-minus-square-o` :guilabel:`Total` button above the rows on
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the pivot table, and selects the :guilabel:`Product` option.
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With all of these options configured, the :guilabel:`Purchase Analysis` report shows a pivot
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table comparing purchase data for the current month, June, with the previous month, May.
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The pivot table is broken down into two main columns: one for the untaxed total spent, and one
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for the taxed total spent. These columns are further broken down into three smaller columns: the
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amount spent in May, the amount spent in June, and the variation between the two months,
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represented as a percentage.
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On the left side of the pivot table, one row is shown for each product purchased from Bike
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Friends during June. Using this report, David is able to see that Bike Haus has spent much less
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money on products purchased from Bike Friends, compared to the previous month.
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.. image:: analyze/comparison.png
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:align: center
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:alt: The Purchase report, comparing the amount spent at a vendor.
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