Intratuin is one of the largest garden centre chains in the Netherlands, with stores across the country. To make better-informed purchasing decisions, Intratuin wanted to more accurately forecast demand for thousands of products, taking into account price, promotions, public holidays and seasonal influences.
- Client: Intratuin
- Industry: Retail
- Technology: Google Vertex AI
The Challenge
Intratuin wanted to more accurately forecast purchasing demand for thousands of products, but had no structured way to factor in elements such as price, promotions, public holidays and seasonal influences. This led to over- or understocking and missed opportunities to align supply and demand.
Our Approach
Product League trained an AI forecasting model in Google Vertex AI, built on four years of historical data and more than 15 variables such as price, promotions, public holidays and seasonal influences. The model was linked directly to Intratuin's purchasing process through a low-code integration, making forecasts immediately usable for buyers.
A forecasting model that grows with you
The forecasting model predicts demand for 48,000+ products across three stores, and is set up to easily expand to more stores and products as Intratuin grows.
The Solution & Impact
With this AI forecasting model, Intratuin predicts purchasing demand more accurately and faster, with less manual work for buyers. Because the model is directly integrated into the purchasing process, forecasts are immediately usable, resulting in a better balance between demand and stock.
AI as the foundation for smart purchasing decisions
This case shows what AI can do for purchasing forecasts: 48,000+ products, 15+ variables, and four years of historical data, directly integrated into the purchasing process. Built with Google Vertex AI, and it works for Intratuin.