From reactive to predictive procurement.

Continuous visibility into market competitiveness. Automated insights flag price drivers, risks, and savings — and trigger RFQs with suggested suppliers.

8,000+
Items tracked · real-time
$20M+
Savings triggered · auto-suggested
Live · Market Tracker
Portfolio vs. should-cost & benchmarks
MONITORING
Benchmark band
Current
Alert
Titanium dioxide
Cat · Pigments
+1.2%
MDI polymeric
Cat · Isocyanates
+6.8%
Acetone tech.
Cat · Solvents
−4.5%
Caustic soda 50%
Cat · Alkalis
+0.4%
MDI polymeric · +6.8% above benchmark
RFQ auto-drafted · 4 suppliers proposed
Trigger →
The challenge PINPOOLS solves

Manual market monitoring is no longer practical.

Manually monitoring thousands of items against the market is impossible. Buyers miss savings windows, don’t spot risks until they hit, and can’t give leadership real transparency on where the portfolio stands.

How it works

From cost baseline to auto-triggered RFQ — one continuous loop.

Three moves keep every item under watch. Two capabilities keep it moving.

01
Cost baseline

Should-cost model per item

Every tracked item is linked to a should-cost model — what the product should cost, bottom-up.

02
Signals

Automated threshold alerts

Price drivers, risks, and savings opportunities surface at defined thresholds — no manual chart review.

03
Action

RFQ triggered from insight

Alerts spawn RFQs with suggested suppliers already proposed — action in one click, not one week.

Benchmarks from real transactions throughout
Every item priced against actual deals happening on the PINPOOLS platform.
Scenario planning & BI export throughout
Model category strategy and mitigation; push data to dashboards and BI tools.
The result
Every item watched continuously — savings and risks surface before they cost you money.
Customer story

A Fortune 500 put $4B of spend under continuous watch.

The team uploaded 8,000+ items representing $4B in spend into PINPOOLS to gain full transparency on market competitiveness. By linking every item to should-cost models and benchmarks, they could monitor price drivers, identify savings, and spot risks. The system flagged opportunities automatically, triggering RFQs with proposed suppliers — shifting procurement from reactive to predictive, and enabling smarter category strategies with executive visibility.

8,000 +
Items tracked in real-time
$20M +
Savings triggered via auto-suggestions
300 +
RFQs created automatically from alerts
Linked benchmarks and should-cost models for full visibility
Full value chain and risk transparency per item
Used for strategic scenario planning across categories
Data exported to dashboards and BI tools for executive visibility

See the market on your portfolio.

Continuous tracking, benchmarks, and auto-triggered RFQs — live on your own items.

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