Demand Prediction Powered by AI

An advanced machine-learning model that optimises bakery production. Fewer returns, higher margins and precise planning across multiple locations.

Model Architecture

Our system uses deep neural networks that analyse dozens of external and internal variables in real time.

Weather analysis and weather anomalies.
Local events and public holidays.
Historical sales data.

Understanding the Engine

We do not rely on simple moving averages. The MAWEB system is a dynamic data ecosystem that learns continuously, adapting its forecasts to the unique character of every point of sale.

Bakery Network Visualisation

Network: Warsaw Centre AI Active Last updated: 5 min ago

Śródmieście Bakery

96%Forecast accuracy

Wola Bakery

94%Forecast accuracy

Daily Summary

Predicted sales12 450 PLN

Suggested production3 200 pcs

Waste reduction↓ 18%

Delivered implementation

A bakery chain: fewer returns, higher turnover

Across a chain of several dozen points of sale the model cut returns without trimming deliveries — turnover grew over the same period.

−58% returns at book prices
+10% turnover over the same period

Ready to optimise?

Book a free pilot and see how our AI models can cut operating costs in your bakery in as little as 14 days.