The Supplier Master Data Problem
Ask any CPO what their biggest data quality challenge is, and supplier master data typically ranks in the top three. The typical enterprise procurement organisation manages thousands of supplier records spread across ERP, P2P, and contract management systems — many duplicated, misclassified, incomplete, or outdated. A supplier might exist under ten different name variants with three different tax IDs across four systems. Identifying that two purchase orders went to the same economic entity is often impossible without manual investigation.
TealBook was built specifically to solve this problem. The platform maintains continuously enriched profiles for 225M+ global suppliers, using AI and machine learning to resolve entity identities, map corporate hierarchies, validate registry data, and maintain 30+ supplier attributes including industry codes, ownership type, diversity certifications, capability descriptions, and geographic reach. When a procurement team connects TealBook to their SAP Ariba, Coupa, or other P2P system, their supplier records are automatically cleansed and enriched with current, validated data.
AI Enrichment and Data Quality
The core technological capability that differentiates TealBook is the entity resolution engine. In enterprise procurement data, the same supplier might appear as "IBM Corp", "International Business Machines", "IBM Corporation", and "IBM" — all of which need to resolve to the same legal entity with the correct tax identifier, corporate parent, and diversity classification. TealBook's AI engine handles this resolution automatically across the full supplier database, producing clean supplier records that can be trusted for spend analysis, diversity reporting, and risk assessment.
The enrichment process fills 30+ data attributes automatically: NAICS and SIC codes for spend classification, diversity certifications (verified against issuing bodies), company size and employee count, geographic footprint, financial health indicators, capability keywords, and corporate ownership structure. These attributes are maintained continuously — when a supplier changes its certification status, corporate structure, or business description, TealBook updates the enriched record rather than waiting for an annual batch refresh.
Supplier Diversity Intelligence
TealBook's strongest differentiated capability for procurement teams is diversity intelligence. The platform tracks 30+ diversity certification types — MBE (Minority Business Enterprise), WBE (Women Business Enterprise), LGBTBE, VSBE (Veteran-owned), HUBZone, SBA 8(a), and many others — validated against the issuing certification bodies rather than relying on self-reported supplier data. Certification expiry dates trigger automated alerts so procurement teams don't inadvertently count spend with an expired-certification supplier in diversity reporting.
For procurement organisations with supplier diversity programmes — either as a business commitment or regulatory requirement — TealBook provides the data foundation that makes these programmes credible and auditable. The diversity spend analytics layer shows Tier 1 diversity spend (direct spend with certified diverse suppliers) and Tier 2 diversity data (spend by your suppliers with their diverse sub-suppliers), which is the reporting standard for many large corporate supplier diversity programmes.
Integration Architecture
TealBook is designed as a data layer that enriches existing procurement systems rather than replacing them. The primary integration points are SAP Ariba (via SAP Store connector), Coupa supplier information management, and direct API integration for custom P2P platforms. When integrated with SAP Ariba, TealBook enriched data surfaces in supplier profiles and can be used in sourcing event supplier qualification. Procurement teams can filter potential suppliers by diversity certification, geographic region, or capability code directly within Ariba.
