See what you buy, from whom and at what price, across every branch.
It reads purchase orders, bills and goods receipts from every branch, gives each line a category and groups the same item bought under five different names. Nothing is bought for you. Price drift, split buying and purchases outside any contract come up as lists, and the procurement head decides what to raise with each supplier.
One branch types MS angle 40x40, another types angle iron forty, and accounts books both under general purchases, so nobody can say what steel cost the business. The data is all there.
The software connects the purchase and accounting records you already keep, cleans item and supplier names, and proposes categories that your procurement head confirms before any totals are trusted. Every branch reads the same table.
The problems this is meant to ease.
What AI spend analysis does.
What this looks like in a working week.
The people who open this every day.
From first conversation to daily use.
Map the purchasing records
Start with what you hold. The procurement head and the finance controller list the branches, the accounting system, the purchase order source and the spreadsheets in use, and name who owns each one.
Load and clean the data
Clean the names first. A year of purchase orders, bills and goods receipts is exported from each branch, names are cleaned, and gaps such as missing units are listed for the owners.
Trial on one category
Try one category first. One category such as steel or packing material is categorised and grouped first, and the procurement head compares the groups with what a buyer would have done by hand.
Check with the buyers
Buyers check the output. Branch purchase officers read the price and split-buying lists for their own branch and mark each line as correct, explained or wrong, and wrong ones change the matching.
Switch on the reports
Go live with the reports. Dashboards and the monthly report are opened to the finance controller and the directors, exports from each branch are scheduled, and one person approves category changes.
Review after a quarter
Look back after a quarter. The procurement head reviews the lists that led nowhere, the groups that needed correction and the categories branches disputed, and decides which rules to change.
How you would know it is working.
Record where you stand before it goes live, so the change is measured against your own figures.
- Addressable spend is the part of total purchases that falls in categories with competing suppliers, counted from the category map once the procurement head has confirmed it.
- Cost savings are recorded only when a buyer logs a change, as the difference between the unit rate paid before and after, using the earlier bills as the baseline.
- Spend visibility is the share of purchase lines that carry a confirmed category, vendor and branch, and the baseline is the share found in the sheets before go-live.
- Price variation is the gap between rates paid for the same item in a month, measured against the bills of the year before go-live.
- Unmanaged spend is the amount bought from vendors with no rate contract, taken from the contract list and bill history as they stood before go-live.
Where a person stays in charge.
People decide categories and suppliers
The software only proposes. Groups, categories and consolidation ideas are drafts until the procurement head accepts them, and no supplier is contacted and no order is placed by the software.
Ideas are not results
No saving is promised. Consolidation and price ideas rest on past bills, so they ignore delivery risk, relationships and stock position, and the buyer must weigh those before acting.
Data quality limits what is seen
Gaps show as gaps. Lines with missing units, branch codes or vendor names are counted and shown as unclassified, so a dashboard states how much spend it could not place.
Supplier rates are confidential
Supplier rates stay private. Supplier prices and contract terms are commercial information, so branch users see only the branches and categories their role allows, and exports are logged by user.
It is one part of a system, not an island.
A module earns its place by what it passes to the next one. These are the connections we set up most often.
- Purchase order management
- Vendor management
- Goods receipt
- Finance and accounting reporting
- Your ERP or accounting export
Products that include it.
How we would put it in.
Questions owners ask about AI spend analysis.
How much history is enough to see patterns?
A year gives a fair base. Fewer months still give category totals, though price trends are thin and the buyer should read them with care, since one season can distort a short record.
Our item names are a mess. Can it still work?
Cleaning them is the first job. A person confirms each proposed group on the first load, which is the slow part, and later only small corrections arrive as new items appear.
Does it tell us to switch suppliers?
No, it does not. It shows rates, volumes and delivery history side by side, and the choice stays with your buyers, because relationships and risks matter and the data does not hold them.
Is it worth it for one shop with one buyer?
Probably not for one buyer. A sorted spreadsheet does the job while one person knows every order and every supplier by name, face and phone number in town. Value appears with several branches, several buyers or a long list of active vendors, when memory stops being a reliable way to compare prices.
What does it connect to?
It starts from exports. Purchase orders, bills and goods receipts come from your ERP or accounting software through exports or a connection that depends on what that software opens up. We check this first.
Who can see supplier rates?
That is set by role. Branch users see their own branch and categories. Finance and procurement see every branch. Each export is logged under the user who ran it.
How wrong can the categories be?
Some will be wrong. Proposed categories are drafts that a person confirms, starting with big spend areas, and any line left unconfirmed shows as unclassified in every report instead of being counted quietly.
What effort should we expect?
Effort goes into the clean-up. Cost depends on how many branches and data sources are involved, and the buyers’ time on the first clean-up is the larger share of your effort.
Businesses that ask for this.
Modules that work with it.
Tell us how you handle AI spend analysis today.
A spreadsheet, a register or another system: say which, and we will tell you plainly what is worth changing.
- No obligation
- A reply within one business day
- Your details stay private
Start with your requirements
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