Case Study: Fortune 100 Chemical Company achieves automated spend-data quality and strategic spend management with Zycus

Large Fortune 100 Chemical giant leverages Zycus automated Spend and Supplier Data Classification tool

Fortune 100 Chemical Company faced a corporate mandate to cut fixed costs and transform spend management, but its efforts were blocked by inconsistent, non‑granular spend data spread across 30+ SAP and legacy systems — 25M+ line items representing roughly US$18 billion of spend. To fix data quality and enable global category management, the company selected Zycus and its AutoClass automated spend and supplier data classification tool.

Zycus implemented AutoClass integrated with the customer’s SAP BW, Ariba and Informatica stack, delivering hands‑free, continuous classification across multiple languages and taxonomies. Deployed in two months, AutoClass processed the large historic dataset (25M+ transactions), achieved a pilot accuracy of 92% (with an 80% SLA target over three months), and produced clean, granular UNSPSC‑coded data that enabled on‑demand spend analysis, stronger category management and uncovered multi‑million dollar savings opportunities.