Spend Analytics
Gain full visibility into procurement spend with AI-driven classification, anomaly detection, and actionable savings opportunities.
Why spend visibility is harder than it looks
ERP data is messy: inconsistent vendor names, miscategorized GL codes, and maverick spend outside contracts. Traditional spend cubes take months to build and are outdated by launch. Tender AI connects to your ERP, card programs, and invoice feeds to auto-classify spend into a unified taxonomy within days—not months.
AI-driven classification engine
Our classification model uses vendor name normalization, line-item description NLP, and historical mapping to assign every transaction to your category tree with 95%+ accuracy. Unclassified items route to a human-in-the-loop queue for quick resolution, and the model learns from every correction. Multi-entity, multi-currency rollups happen automatically.
Savings opportunity identification
Tender AI continuously scans for duplicate payments, off-contract purchases, price variances across business units, and consolidation opportunities. Each finding includes estimated savings, affected suppliers, and a recommended action (renegotiate, consolidate, enforce contract). Savings pipeline dashboards track realized vs. identified savings over time.
Executive-ready reporting
Pre-built dashboards cover spend by category, supplier, region, and business unit with drill-down to transaction level. Custom report builder supports ad-hoc analysis without SQL. Scheduled exports feed your BI tools (Power BI, Tableau, Looker). Benchmark views compare your spend ratios against industry peers.
Feature comparison
| Capability | Manual BI reports | Tender AI |
|---|---|---|
| Data classification | Quarterly manual cleanup | Continuous AI classification |
| Duplicate detection | Audit sampling | Automated full-population scan |
| Savings tracking | Spreadsheet pipeline | Integrated opportunity workflow |
| Time to insight | Weeks per report | Real-time dashboards |
| Cross-entity rollup | Manual consolidation | Automatic multi-entity merge |
“We identified US$1.8M in duplicate payments and off-contract spend in the first quarter. The ROI paid for the entire platform.”
Frequently asked questions
Which ERPs does spend analytics connect to?
SAP, Oracle, Microsoft Dynamics, NetSuite, Workday, and generic CSV/API imports. Most integrations complete within 5–10 business days.
How far back can we analyze historical spend?
No limit on historical depth. Customers commonly load 3–5 years of transaction data for trend analysis and baseline establishment.
Can we use our own category taxonomy?
Yes. Import your UNSPSC, custom, or industry-specific taxonomy. The AI maps transactions to your tree, not a generic one.
How often is data refreshed?
Daily batch sync by default. Near-real-time sync (hourly) available on Enterprise plans.
Does it support multi-currency reporting?
Yes. Automatic currency conversion with configurable rate sources (ECB, OANDA, or custom). Reports display in your base currency with original currency preserved at transaction level.