Material cost analyzer

Our bots analyze material costs and trends, providing insights that help businesses optimize production and procurement.

Know your material costs before they know you

Raw material prices can change in weeks, sometimes days. Steel, copper, fuel, packaging fluctuate based on global market trends, seasonal cycles, and supply chain disruptions.

When your production or procurement teams are reacting after the fact, you’ve already lost money.

Our material cost analyzer uses automated data collection and AI-driven analysis to track, compare, and predict material price changes, giving you the insight to buy smarter, plan better, and protect margins.

The hidden pressures

Prices change faster than manual reports can be compiled.

You don’t always know whether a price increase is market-driven or supplier-driven.

Without accurate forecasts, cost overruns eat into profits.

Opportunities to lock in low rates are often spotted too late.

The insight types that drive smarter decisions

Monitors historical price movements for every material, so you can see whether current rates are high, low, or within normal range.

Links material costs to external drivers like fuel prices or currency exchange rates so you can anticipate changes.

Shows which suppliers consistently offer the most competitive prices, factoring in freight, payment terms, and quality.

Uses AI to predict future price ranges based on historical data and market signals, giving you the chance to plan purchases ahead.

Sends instant notifications when prices cross your defined thresholds, ensuring you never miss a buying opportunity.

Before vs. after automation

Before

A procurement manager receives a price increase from a supplier. There’s no quick way to validate whether it’s justified. They approve the order, only to find later that competitor suppliers were still offering the previous rate.

After

The same manager gets a notification of a price increase. It shows the supplier’s rate is now 7% above market average and that prices are predicted to drop within 3 weeks. The manager delays the order, saving €42,000.

Short-term wins, long-term strategy

The analyzer spots overpriced materials so you can renegotiate and save.
It helps you buy at market lows, not after prices rise.
Forecasts reduce budget variability and improve planning.
It gives you data for stronger, fact-based negotiations.

Case study "From reactive to proactive"

A construction company relying heavily on imported steel was facing unpredictable monthly costs.

After implementing the material cost analyzer, they identified seasonal dips that allowed them to bulk-purchase at 12% lower prices during specific months.

Over 12 months, the savings exceeded €500,000. And this result was obtained without changing suppliers.