Case Study: Cainz improves demand forecasting and sales planning with Google Cloud Platform

Using Vertex AI for demand forecasting to optimize sales-planning predictions

Cainz, a leading DIY home improvement company in Japan, had long struggled with accurate demand forecasting across its many product categories. Its existing fixed-order-quantity system relied on moving averages and made it difficult to predict seasonal products and short-term sales trends, while manual forecasts varied widely between experienced and newer distributors.

Using Google Cloud Platform’s Vertex AI, Cainz built an AI-powered demand forecasting approach to improve sales-planning predictions and optimize ordering by store. The solution helped create more consistent forecasting beyond human experience levels and improved the company’s ability to anticipate demand patterns, supporting better retail planning and inventory decisions.

Cainz

Michihiko Yaguchi

Demand Forecasting Group, Business Solution Unit, Information System Division