Procurement Intelligence Engine — FMCG
Vendor scoring, bid analytics and negotiation recommendations across $200M+ of annual spend.
What was breaking
Procurement teams spent 40+ hours per negotiation cross-referencing vendor history, past bids, SLA performance and market benchmarks — entering deals without intelligence-backed leverage.
Procurement Intelligence Engine
An engine that scores vendors on price stability, SLA adherence and risk, clusters historical bids and recommends target prices with scenario modelling.
- Vendor intelligence scoring
- Bid analytics with clustering and trend detection
- Negotiation recommendation engine
- What-if scenario modelling
How it works
- 01
Score
Price stability, SLA adherence and risk profile scored per vendor.
- 02
Analyse
Historical bids clustered with price spread and trend detection.
- 03
Recommend
Target ranges, leverage points and what-if scenarios surfaced.
- 04
Apply
Insights used live across negotiations and supplier-mix decisions.
- 01
Score
Price stability, SLA adherence and risk profile scored per vendor.
- 02
Analyse
Historical bids clustered with price spread and trend detection.
- 03
Recommend
Target ranges, leverage points and what-if scenarios surfaced.
- 04
Apply
Insights used live across negotiations and supplier-mix decisions.
Before vs. after
| Metric | Before | After | Improvement |
|---|---|---|---|
| Prep time | 2–3 days | 15 minutes | 95% faster |
| Price advantage | ~2–3% below ask | 8–12% below ask | 4–9% gain |
| Supplier risk events | 12/year | 3/year | 75% reduction |
| Spend coverage | Baseline | $200M+ | Enterprise-wide |
What changed
- ✓Negotiation prep down from days to 15 minutes
- ✓Better price leverage via insight-backed strategy
- ✓Optimised supplier mix with risk scoring
- ✓Applied across 50+ negotiations
Inside the build
Could this work for your team?
We adapt these blueprints to your domain, data and governance constraints — typically delivering a working prototype in weeks.