Sector specialisation Procurement
Sourcing, purchasing, receiving, and managing what a business needs: procurement is the full lifecycle, not just the transaction. Most procurement technology treats the data underneath that lifecycle as someone else's problem. Qwry.AI treats identity resolution across it as the first step, not an afterthought.
None of this is a people problem. It's what happens when the tools procurement runs on the assumption that the data underneath them already has one identity, and it never does.
Spend Fragmentation
Spend data lives across the ERP, the finance system, and a dozen supplier-specific spreadsheets. Reconciling one supplier's total spend means someone manually matching names by eye across three exports, and the answer is stale the moment a new invoice lands.
Sourcing In Spreadsheets
Sourcing evaluation runs in spreadsheets circulated by email. The logic lives in someone's cell formulas rather than a system anyone can inspect, and the version that wins the award is whichever one didn't get overwritten last.
Contracts Go Dark
Nobody checks live purchase orders and invoices against the negotiated terms in between. Off-contract spend and missed rebate thresholds go unnoticed for months, not because anyone missed a step, but because no system was built to watch continuously.
Risk Found Too Late
The signals that could have flagged it (delivery history in one system, quality complaints in another, payment terms in a third) existed the whole time. They were never in the same place to be read together.
Identity resolution surfaces problems before any new process is built on top of it. These aren't insights Qwry.AI generates. They're what was already there, hidden by the fact that no one had resolved the sources against each other well enough to see it.
Sources connected
ERP Finance system Supplier spreadsheets Contract PDFsQwry.AI discovers how they relate and joins them where they agree, without moving your data out of your infrastructure.
A low-risk place to start
This is deliberately the first thing you see: before sourcing evaluation, before contract reconciliation, before any deeper procurement workflow is switched on. Connecting your sources and seeing what the relationship layer finds is a low-risk way to test whether Qwry.AI's unification holds up against your own data, before deciding whether to build sourcing evaluation, contract reconciliation, or supplier risk scoring on top of it. Nothing in this stage requires committing to the rest of the platform.
The same four problems, read against a foundation where the data underneath is already connected.
One Supplier Record
ERP, finance, and spreadsheet sources are joined by relationships Qwry.AI discovers automatically, each link carrying a confidence score. “What do we spend with Supplier X” has one traceable answer instead of three disputed ones.
Auditable Sourcing
Scoring logic is visible and auditable rather than buried in a cell formula, and every submitted bid is part of the record rather than an email attachment that got overwritten.
Contracts Watched
Off-contract spend and missed obligations surface as they happen. Historical pricing drift and unmatched invoices already sitting in the data get surfaced once the sources are connected, not just new activity from that point on.
Supplier Risk
Delivery history, quality flags, and payment terms (already scattered across your systems) read together instead of separately, so the pattern is visible before the failure rather than after it.
Where this stands today
This is the direction the architecture is built for. Data unification and tender evaluation are proven in production today. Contract reconciliation (both retrospective and ongoing) and supplier risk scoring extend the same foundation. Where a specific piece hasn't been validated against a prospect's own systems, we say so plainly in the sales conversation rather than implying it away on the page.
The difference isn't a longer feature list. It's a different assumption about the data underneath.
| Traditional procurement | Procurement on Qwry.AI | |
|---|---|---|
| Supplier spend | Reconciled manually across ERP, finance, and spreadsheets; stale as soon as new data lands | One record, relationships discovered automatically, confidence scored |
| Sourcing evaluation | Spreadsheet-based, scoring logic hidden in formulas, versions overwritten by email | Structured, versioned, scoring logic visible and auditable |
| Contract obligations | Filed at signature, rediscovered at renewal | Checked continuously, and historical drift surfaced retrospectively once connected |
| Supplier risk | Discovered after a failure occurs | Built from signals that already exist, read together instead of separately |
| The underlying assumption | Data is already clean and connected | Data is fragmented by default; unification is the first step, not an afterthought |
Where Qwry.AI sits
Qwry.AI sits above your existing ERP and procurement systems, not in place of them. It doesn't execute transactions or replace your procure-to-pay engine. It's the layer that makes the data those systems already hold usable together, built on the Enterprise Context Graph and the Data Ontology Engine, with a human making every decision it informs.
Insights
Customer playbooks and technical deep-dives from Qwry.AI deployments in procurement.
Every personal care manufacturer generates data at every stage of its value chain, and cannot join it. How automated relationship discovery turns five to eight disconnected systems into cross-source answers in minutes, not days.
Read the white paperSecondary sales in spreadsheets. Distributor stock self-declared. Billing in the ERP. Compliance records as PDFs. How Qwry.AI connects them into one governed view, and what becomes possible when it does.
Read the use caseConnectors
Databases, warehouses, files and the apps you run: connect what you already have, don't migrate. Every source lands in one governed graph, with 200+ on the roadmap.
Don't see your connector? Tell us your stack. We'll scope it.
Reach out →A direct conversation with the founding team. No sales deck. Tell us about your ERP, your finance system, and the supplier questions you currently cannot answer. We'll connect the sources and show you what the relationship layer finds.
Email goes directly to the founding team. First response within one business day.