The challenge
The client wanted to apply machine learning to a manufacturing process to support better decision-making.
Built machine learning models on Microsoft Fabric to automate and improve a prioritised food manufacturing process.
Ref: IMSFT104541
Video story · 1:01
The challenge
The client wanted to apply machine learning to a manufacturing process to support better decision-making.
The approach
Kumulus prepared the data in Microsoft Fabric, developed machine learning models and carried out technical validation for the prioritised process.
The outcome
Planning teams gained a practical foundation for evaluating machine learning in demand planning. The sales-demand forecasting proof of value on Microsoft Fabric stores predictions in OneLake, supported by a results table, project documentation and a workshop.
Could this work for your organisation?
The AI Audit shows where data and AI will deliver measurable value for you first.