AI and predictive analytics platform for industrial logistics, designed to anticipate demand, optimise inventory and strengthen operational and production planning. The project has been developed by WonderBits in collaboration with SPB, a Valencian manufacturer of cleaning and hygiene products and one of Mercadona’s main industrial suppliers.

The challenge

At SPB, whenever stock exceeded warehouse capacity, extra space had to be rented, and 10 days of safety stock were kept to avoid failing large retail customers. Forecasts were prepared by hand, rarely updated and did not make use of the full history available.

The solution

The solution improves demand forecasting accuracy, optimises inventory levels and supports more efficient operational and production planning. It integrates with existing business systems and turns historical, commercial and operational data into reliable forecasts powered by artificial intelligence models.

Its capabilities include sales and production forecasting, continuous comparison between forecasted and actual results, short- and medium-term stock projections, and automated alerts when risks of stockouts or potential capacity constraints are detected in warehouses and production facilities. The AI also learns how far production and sales deviate from plan and corrects the forecast, anticipating each warehouse’s occupancy up to 4 months ahead.

Impact targets

The project targets, set using SPB’s real data, are a 40–50% reduction in extra warehouse costs, cutting safety stock from 10 to 7 days, and a 20% reduction in both budget deviation and service-failure penalties. Early on-site data is in line with these targets.

Outcome

By combining data integration, predictive modelling and business intelligence, the project helps teams anticipate logistics needs, identify deviations early enough to act, and support more proactive decision-making across the supply chain. As a result, it reduces operational uncertainty, improves service levels and maintains efficiency in demanding industrial environments, where planning accuracy has a direct impact on production, distribution and customer satisfaction.

Project Funding and Support

The project is funded by IVACE+i Innovació under the Advanced Technologies Assimilation and Dissemination Programme for the Valencian Innovation System, reference INNATA/2025/9, and will be co-funded by the European Regional Development Fund (ERDF) 2021–2027.

AI · Predictive Analytics · Demand Forecasting · Inventory Optimization · Production Planning · Supply Chain Intelligence

February 2026