Spend Analytics demo
Every dollar classified, and every saving pinned to the invoice lines behind it. 1:33
What the demo shows
Classifies and cleans all spend by category and supplier to find savings for procurement
The category manager works in one place: a conversation with the spend agents beside a spend ladder that descends from all spend to category, sub-category, supplier and invoice line. Each rung shows how much the agents moved from the ledger coding and the accuracy a validator agent measured on a value-weighted sample. Ask why laptops moved or who sells a given laptop model and the agents answer with a citation on every number and move the ladder there. A supplier normalizer merges vendor records into parent suppliers and shows the registry, ownership and bank evidence; a classifier proposes rules in words that the validator samples before a person accepts them; a contract matcher checks each saving before it counts; an opportunity agent finds the saving on one laptop bought from several resellers. A guided review takes the person through families, rules, unsure lines, disagreements and savings, one proposal at a time, approve, edit or reject with a reason. Finance validates realized savings against a frozen baseline.
Transcript
- Spend Analytics classifies and cleans all spend by category and supplier to find savings.
- Kestrel and Vane spend $6.2 billion a year and a fifth sits under the wrong code.
- Anouk manages IT hardware.
- She talks to the agents and the ladder follows.
- Every rung shows what the agents moved and the accuracy a second agent measured.
- The supplier normalizer shows its work.
- 41 records become 9 suppliers.
- Anouk asks why laptops moved.
- The classifier answers, citing every invoice line.
- One laptop, 6 resellers from $11.28 to $14.12.
- The opportunity agent pins the gap.
- The contract matcher checks the clause first.
- Anouk approves with a reason.
- The baseline freezes and the notice waits for her.
- Every number opens its source.
- Every decision is signed and logged.
- Across the group, $33 million found and finance signs what is banked.
- Built on Botminds: agents, data, screens, and governance on one platform.
Transcribed from the film’s narration. Captions are on the player.