American Biltrite
Sales forecasts for better inventory management

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Ineffective sales forecasting hampers inventory management

American Biltrite, a manufacturer of commercial floor coverings and industrial rubber, was struggling to anticipate demand. Annual fluctuations in orders, combined with a lack of precise forecasting tools, made it difficult to plan production and allocate resources effectively. Although the company had a rich order history—over 80,000 orders since 2007—the data wasn’t being used optimally, resulting in continued risks of overstocking and stockouts.

An intelligent prediction model based on historical data

Explorai developed an advanced sales forecasting model capable of predicting demand by week, warehouse, and SKU. The model also integrated relevant external data, such as the Material Bank and Product Manufacturing Index. The approach was progressive—starting with a gradient boosting model, then evolving to quantile regression and deep quantile regression to increase the granularity and accuracy of forecasts.

"We' ve shown that we're capable of being successful in an innovation project! It was done on budget and on time with our partner Explorai ".

- David Fagnan - Vice President, American Biltrite

Structured technological deployment to optimize forecast accessibility

To support a smooth transition and rapid adoption, Explorai implemented a complete infrastructure. This included a mirror database, a minimalist web interface for viewing forecasts, and a secure API to integrate these forecasts into American Biltrite’s internal systems. The focus was on accessibility—giving managers a clear, real-time view of sales trends through easy-to-use tools.

Immediate benefits and prospects for continuous improvement

The model has already improved inventory management and reduced operational costs associated with surpluses and shortages. With the infrastructure in place, future steps include integrating new external variables that influence demand and enhancing links with internal tools to further automate decision-making.

This project positions American Biltrite at the forefront of inventory management optimization through artificial intelligence and advanced predictive modeling.