Solutions by industry / Food & beverage
AI for food and beverage production, consistent in every batch
From raw materials to roasting, brewing, bottling and packaging: AI that holds quality despite variable inputs, traces every batch and plans your lines.
They trust us
Key benefits
Quality, traceability, energy and planning
Natural raw materials never arrive the same. Wizata keeps production on target anyway, and shows where every batch came from.
Consistent quality
Real-time set points adjust to raw-material variability, so humidity, taste and fill quality stay on target.
Full batch traceability
Link raw materials to every batch, find the root cause of a quality issue in minutes and see which batches it affects.
Less energy and waste
Stable roasting, brewing and moulding processes use less energy and produce less scrap and rework.
Automated line planning
Production schedules built in minutes across filling lines, with short-shelf-life SKUs made to demand.
Featured case
98% good bottles across 16 plants
A leading American bottling company stabilised blow moulding with set-point recommendations, anomaly detection and quality prediction.
Stable blow moulding, 98% good bottles
Preform heating kept stable, process deviations caught early and bottle quality predicted in real time.
How it works
AI along the whole production line
From incoming raw materials to the packed product, each step gets its own model on one platform.
Incoming quality
Check the quality and suitability of raw materials, and link each lot to the batches it goes into.
Real-time adjustment
Optimise mixing, roasting, fermentation and bottling speeds as conditions change.
Every unit on spec
Monitor product standards continuously and predict quality before it drifts.
Packaging and lines
Check packaging integrity to reduce defects, and plan filling lines automatically.
Food & beverage cases
Four cases, in production
Demonstrating ROI
Measured in efficiency and waste
Next step
Enhance your food & beverage production with AI
Talk to one of our engineers, or spend one or two days with our team on one line and your own data.