AI-Driven Procurement & Supplier Risk

Objective

Buy the right raw materials at the best price and time while flagging supplier and price risks before they disrupt production.

Methodology

Agile delivery: spend & supplier discovery, feature engineering on purchase, market & risk data, model training, and back-testing.

Architecture

Cloud data lake unifying ERP spend, supplier, commodity-price & news data, a feature store, ML risk and forecast models, and sourcing dashboards.

Solution

An automated platform delivering price forecasts, supplier risk scores, optimal order timing, and should-cost benchmarks integrated with procurement.