Tanmay approached forecasting as a system design problem. The goal was to produce decision-ready forecasts at portfolio scale ...

Contributor content. Read about Vishal Singh's role as a demand forecasting expert from global tech markets to the industrial ...

Demand forecasting methods have been used in retail for a long time. Most of them are based on historical data, which is no longer useful in the new COVID-19 reality. If you used an ML-powered demand ...

Impact Analytics®, the AI-native leader in retail planning and inventory optimization, today announced its inclusion as a Representative Vendor in two Gartner® research reports: the 2026 Gartner ...

The requirements for retail success don’t get much more basic than the ability to accurately forecast customer demand. Even a mom-and-pop bodega has to have a pretty good sense of how many people will ...

Researchers at Washington State University have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product—even when key data is ...

In 2026, demand planning goes beyond simply estimating sales figures. It is a strategic approach designed to align your ...

Identifying gaps in sales and operations planning (S&OP) is critical to achieving the value of demand-driven supply networks. There are practical methods to uncover misalignments that can hinder ...

Leading Japanese discount retailer selects RELEX forecasting and replenishment to improve inventory accuracy and operational ...