Overview
Most procurement "analytics" is a spreadsheet of PO data cut by vendor and month. Finance cannot tell which savings came from which initiative. Category managers cannot identify tail spend. Maverick buying (spend outside approved suppliers/contracts) goes undetected for quarters. Without a clean spend foundation, nothing else works.
The Procurement Analytics Framework builds the data foundation: normalized vendor names, classified to a category taxonomy, with spend decomposed to buy-channel, contract coverage, and tail. Then layers on saving tracking, maverick detection, and category benchmarking — producing intelligence that drives category strategies, not dashboards that summarize history.
What you get: - Spend taxonomy (UNSPSC or custom, 4-level hierarchy) - Vendor master data cleansing and normalization - Automated spend classification with ML + rules - Tail spend analysis and consolidation opportunities - Maverick spend detection (contract compliance) - Category performance dashboards - Savings tracking (forecasted, contracted, realized) - Negotiation leverage opportunities identification
Built for: CPOs, category managers, procurement analysts, and finance partners who need spend data they trust before they can build category strategies.