Put down the pen and paper and shelve the spreadsheets. Artificial intelligence (AI) and advanced machine learning are the next-generation tools for demand forecasting in distribution. That was the ...

Yesterday’s sales can’t predict tomorrow’s demand. Promotions, price swings, supplier hiccups, even a viral TikTok, can skew ...

Alltegrio launches an expanded retail analytics practice, helping retailers forecast demand, cut costs, and modernize ...

Researcher Kanidaye Okorji is developing a machine-learning-based inventory-optimisation framework to help distribution networks predict stock shortages, quantify inventory losses, and make more ...

According to MarketsandMarkets™, the Retail Analytics Market is projected to grow from USD 11.82 billion in 2026 to USD 23.21 billion by 2032, at a CAGR of 11.9%.

There are various methods to generate accurate business predictions, but one increasingly stands out: time series forecasting. time series forecasting, which is often used in astronomy, mathematical ...

For years, supply chain organizations approached demand forecasting by looking backward, with historical sales trends, seasonal cycles and prior purchasing behavior forming the foundation for most ...