From waste to profit: Nucleoo’s AI predictive model for a leading Dutch supermarket chain

The client had a high level of fresh food wastage and had no way of predicting demand or taking action to solve it. They had a lot of data but no way of drawing insights from it and no infrastructure on which to build a waste management model.

We build a predictive waste model from 3 simple data sources:

• Stock entry level per day.
• Daily sales (receipts).
• Product expiration date.

Once we have collected the data, we created the Single Source of Truth (SSOT) which ensured the business operated based on standardised and relevant data across all departments. 
At this point, we were ready to build the predictive model. The model affected the 4 fundamental retail pillars: Supply chain, Commerce, Store and Finance. In each pillar, we implemented apps, all with the aim to reduce food waste while maximising their financial result.

The development of the model allowed the client to benefit from a solution for each key pillar:

• To improve the functioning of the supply chain, they have a stock optimiser that allows them to manage stock levels in each shop.
• In the commerce department, the client uses a promotions recommender, which provides information on what kind of promotions have worked best in the past. 
• To improve the performance of brick-and-mortar shops, they are equipped with a layout suggestion application, which recommends where products should be placed in the shop, or which products should be placed together to improve sales. 
• To track progress, they now have a dashboard that presents an overview of key waste indicators. With this data, management has a better understanding of how and when process adjustments are needed.

Nucleoo's waste management model improved the Dutch supermarket chain's financial performance and operational efficiency by reducing food waste through optimised stock levels, promotions, and in-store layout, with progress tracked via a dashboard.