AI based demand forecasting and purchasing for end-to-end optimisation of cream cheese manufacturing

Goal:

The PREVAI project aims to revolutionize the cream cheese manufacturing process by developing an advanced demand forecasting cloud platform. This innovative tool will integrate comprehensive data from the entire value chain, including purchasing, sales, and production, to offer a holistic view of operations. Leveraging AI and machine learning, PREVAI will enable precise anticipation of material requirements and adjust production in alignment with market demands, thus optimizing the entire manufacturing lifecycle from raw material procurement to product delivery.

Necessity and challenges:

Initiating PREVAI addresses the critical challenge of demand forecasting in the highly volatile food industry, specifically for perishable products like cream cheese. The project aims to bridge the gap between demand anticipation and the efficient management of resources, ultimately enhancing profitability and sustainability. By integrating sales forecasts with purchasing and production planning, Innolact aspires to a paradigm shift towards data-driven decision-making, away from reliance on direct customer interactions for demand forecasting.

Expected benefits:

• Ensuring optimal stock levels and avoiding shortages.
• Boosting production efficiency and reducing costs through strategic supplier negotiations.
• Enhancing interdepartmental planning and performance.
• Improving product delivery timelines and quality control.
• Significantly reducing waste and emissions by minimizing overproduction.

Partners:

• Innolact S.L. - https://quescrem.es/en/
• Triple Alpha Innovation S.L. - https://www.triplealpha.in/en/