An offline-first React MVP built with Al Yamamah Steel's commercial team: tender intelligence (Etimad / SEC / NWC / Aramco), spec-to-product matching with a win-probability model, and a quotation assistant that produces a BOM with SAR pricing and VAT.
Project
Commercial Intelligence Suite — Al Yamamah Steel
Outcomes
35–92%
Win-probability model range
Auto
BOM + SAR pricing + VAT
PDF quotation output
Multi
Plant scheduling
Steel procurement in Saudi Arabia is document-heavy, multi-portal, and price-volatile. Commercial teams spend days cross-referencing tender specs, internal product specs, and live steel prices before producing a quote — and they still miss the win-probability signal.
Started with Al Yamamah Steel's own commercial workflow. Ingest tenders from Etimad, SEC, NWC, and Aramco portals; auto-classify the spec; match to internal SKUs; price against a live BOM with SAR rates, scrap factors, and VAT. A win-probability model sits on top, so the team sees the bids worth chasing.
An offline-first React + TypeScript app. Tender ingest + classification, product master + match, quotation builder (BOM, SAR, VAT, print-to-PDF), and an autonomous production + repairs agent for downstream plant scheduling. Bilingual EN/AR with RTL throughout.
Most of our projects start with a 30-minute scoping call.
