Spend visibility, supplier intelligence, demand forecasting and network optimization — engineered into your ERP and source-to-pay estate, not sold as another platform to integrate.
The algorithms in this space are largely commodity. What separates a programme that produces savings from one that produces dashboards is whether the spend data underneath it can be trusted.
Transactions sit across ERP instances, P-cards, invoices and contracts with no common taxonomy. Category managers negotiate without knowing total exposure to a supplier.
The same vendor appears under six spellings and four entity IDs. Rate disparities across business units stay invisible because nothing reconciles them.
Identified savings evaporate under finance review because the baseline was never governed. Without lineage, procurement cannot prove the number.
Sequenced deliberately — each stage funds the next, and none of them requires ripping out your source-to-pay platform.
A governed spend cube across business units, geographies and categories — supplier normalization, category classification, rate-disparity and anomaly detection, with a data-quality framework so the numbers survive audit.
Document AI over contracts, MSAs and rate cards — extracting terms, obligations and pricing into structured, queryable form so sourcing decisions reference what was actually signed.
ML forecasting at the depot, SKU and category grain — the input that turns reactive buying into planned commitment and reduces both overstock and expedite spend.
Gurobi LP/MIP models for supplier allocation, order quantity, routing and distribution design — a scenario engine procurement can rerun, not a consultant’s one-off study.
Your category structure, approval workflows and supplier master are close to industry-standard. You need coverage quickly and the differentiation in your business sits somewhere other than procurement. Coupa, Ariba and their peers are good at this, and we will tell you so.
Your spend taxonomy, contracting rules or supplier network are the differentiation — which is precisely what a packaged platform flattens. Or you have already bought the platform and it cannot see across the instances, entities and spreadsheets where the real spend lives.
We are a build partner, not a software vendor. That means we have no seat licences to defend and no reason to recommend building something you should buy.
A global information-services conglomerate — spend segmented by business unit, geography and cost centre, with rate-disparity detection and a governed data-quality framework.
Multi-module optimization across 30 distribution centres and 3,598 shipment points, with a scenario engine the team reruns as the network changes.
ML forecasting across depots and seasonal SKUs, modelling regional events and festival cycles to cut overstock and stockout exposure.
We engineer against the systems of record you already run, and leave the transactional flow where it is.
Lakehouse on Azure Fabric, Databricks or Snowflake; MDM for supplier and material masters; lineage and quality gates.
Explore →Gurobi LP/MIP/QP, demand forecasting, network and route design, scenario modelling.
Explore →Contract, invoice and rate-card extraction with validation agents and grounded retrieval.
Explore →No. We are a build partner. We design and run AI procurement systems on top of the ERP and source-to-pay stack you already own — SAP, Oracle, Coupa, Ariba, NetSuite, Dynamics 365 — rather than selling another seat-based platform to add to it.
Spend visibility and anomaly detection usually produce a defensible savings pipeline within a quarter, because they run on transaction history you already have. Optimization takes longer — it changes how the business operates, not just what it can see.
You do. Models, pipelines and code are delivered into your estate under your licences. Our governance layer records what was built, by whom and under which approval — so the system stays auditable after we leave.
Tell us where the visibility stops today — we will show you what a governed spend baseline would surface, before you commit to a programme.