Bake AI Forecast system – intelligent demand forecasting for the bakery and catering

The system uses machine learning to forecast demand, optimise orders, and reduce losses in bakery chains. It analyses sales data and demand drivers such as weather, holidays, and events to support day-to-day stocking decisions.

Plan sales and deliveries based on data

How does Bake AI Forecast support key areas of the organisation?

Reduction of losses

Minimising unsold goods while keeping shelves fully stocked. The system summarises the costs of lost sales and losses in specific amounts (PLN).

Profitability control

Contribution margin analysis (store/product group) allows you to identify the most and least profitable areas instantly.

Price optimization

Centralised end-of-day reduction management prevents costly disposal of short-shelf-life products.

Machine Learning in practice

Algorithms automatically learn the demand patterns of the assortment.

Order automation

Error-free calculation of deliveries taking into account the holiday calendar (e.g., Mother’s Day) and the current weather forecast.

Smart logistics

Integration with OpenStreetMap optimises the routes for moving surplus goods between the nearest points.

What do you gain with Bake AI Forecast?

  • Ability to accurately calculate deliveries based on historical data analysis, combined with the event calendar and weather.
  • Freshness protection through calculations that rigorously take into account the specifics of the assortment and shelf life limits of products.
  • Better matching production to actual demand – elimination of shortages of goods without building up costly, excessive inventory.
  • Quick response to the current sales situation through consistent pricing and promotion management across all locations.

Build a competitive advantage with data

The solution does not require a specific POS system. Thanks to API adapters,
the forecasting engine can work with various POS systems and sales.
Bake AI Forecast can also be deployed on-premises,
without transferring data to an external cloud.

FAQ

What factors does the system take into account when forecasting demand?
Bake AI Forecast uses machine learning to analyse sales data and external factors such as the weather, holiday calendar (e.g., Mother’s Day), and local events. Algorithms automatically learn demand patterns, accounting for assortment specifics and products’ strict shelf-life limits.
Does the system require a specific POS or POS software?
The solution does not require a specific POS system. Thanks to API adapters, the forecasting engine can work flexibly with various POS and sales systems.
Does our sales data need to be uploaded to the cloud?
No, because Bake AI Forecast can be deployed as an on-premises model, which eliminates the need to transfer data to an external cloud.

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