An auto-ordering system was developed utilizing machine learning algorithms on a SaaS model, enabling daily sales forecasts for each store and SKU with a one-week horizon.

The client represents one of the world’s largest brewing companies, owning several breweries. Their portfolio includes over 30 international, national, and regional beer brands.

In collaboration with research institutions, a groundbreaking medical data platform was developed. This platform leverages cloud technology to revolutionize medical research and improve patient care.

SPAR, a leading retail chain, faced challenges in accurately predicting product demand, managing inventory, and optimizing labor costs. To address these issues, they implemented an innovative solution.

In the dynamic landscape of retail, optimizing supply chain processes is crucial for efficiency, cost reduction, and maintaining a competitive edge.