Use AI and time-lag analytics to forecast product prices and feedstock trends, empowering buyers to anticipate changes and negotiate strategically.
PINPOOLS uses AI and time-lag analytics to forecast raw material and product prices before they hit supplier quotes. Buyers get early alerts on expected increases or decreases so they can renegotiate contracts, time spot buys, and plan budgets more accurately.
Five outcomes procurement teams see when forecasts move from static reports to a live signal inside sourcing.
AI models correlate multiple indices, benchmarks, and historical data — so the direction of the market shows up in your view before it lands in a supplier quote.
Bring a forward view into annual and quarterly plans — budgets stop being extrapolations of last year and start reflecting the market ahead.
Get early alerts on expected increases or decreases and re-open contracts, time spot buys, and challenge quotes with forward-looking data.
See feedstock shocks propagate before they hit your final product. Time-lag analysis turns global events into an early warning, not a surprise.
Time renegotiations, spot buys, and budget commitments to the forecast — sourcing becomes proactive, not reactive to whatever landed today.
The mechanics that turn indices, benchmarks, and historical data into a forecast buyers can act on.
The model correlates multiple indices, benchmarks and historical data to build a per-material forecast — refreshed as new signals land.
The engine measures how feedstock movements propagate to the final product with a delay — so an upstream shock becomes an early signal.
A single forecast draws on relevant indices, real transaction-based benchmarks, and historical data — no single-source blind spots.
Multi-year price history plotted next to the forecast — buyers see the context that shaped today's number, not just the number itself.
Set thresholds per material and get pinged when the forecast changes meaningfully — no more discovering the shift a week after it happened.
From selecting the materials you want to forecast, to acting on the number in a renegotiation or spot buy.
Pick the raw materials or products you want a forward view on — one item, a category, or an entire portfolio. Each selection unlocks the relevant indices, benchmarks and feedstocks in the background.
PINPOOLS correlates multiple indices, real transaction-based benchmarks, and historical data to build a forecast per material — no single-source blind spots.
Time-lag analysis shows how feedstock movements propagate to your final product with a measurable delay — an upstream shock becomes an early warning for your quote, not a surprise on the invoice.
Define thresholds per material — % change, direction, horizon — and get notified when the forecast crosses one. You act on the shift when it happens, not a week after.
Combine the forecast with should-cost models to run "what-if" scenarios and assess the impact of global events. Then use the number to time renegotiations, spot buys, and budget commitments.
“For the first time we saw the raw material curve turn before the supplier did. We renegotiated two weeks ahead of the reprice — that never used to be possible.”
The Benchmarks tab already shows 3-month and 6-month forecasts per material with a detailed explanation of the drivers. Longer horizons can be built on top of should-cost models.
A fusion of relevant indices, real transaction-based benchmarks, and historical data. The AI engine runs correlation and time-lag analysis on top.
Yes — automated notifications are built into the forecasting engine.
Yes. Combining forecasting with should-cost models lets buyers simulate "what-if" scenarios — raw material shocks, energy price shifts, logistics disruptions.
Yes. Forecast insights integrate with RFX and Series Requests, so buyers can time market entry and challenge supplier quotes with forward-looking data.
See a live forecast for your own materials in a 30-minute demo — with your feedstocks, on your data.
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