This burgeoning technology can do more than you think.

Supply chain leaders are increasingly turning to artificial intelligence to revolutionize their demand-forecasting and inventory-management strategies. This shift comes as traditional forecasting ...

Discover how data analytics helps businesses strengthen supply chain resilience by improving visibility, forecasting risks, optimizing inventory, and enabling faster, smarter decisions.

Anar Mammadov is the CEO of Senpex Technology and a software development professional with over 18 years experience in enterprise solutions. Managing the modern supply chain requires coping with ...

Food suppliers often deal with unpredictable demand from their customers. Kraft Heinz uses its AI-powered software called Lighthouse to help it anticipate and adjust to these shifts in demand. This ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Sales and demand forecasting has evolved markedly with the convergence of traditional statistical techniques and cutting‐edge machine learning methods. Time series analysis remains central to ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...

Market Size: USD 13.93 billion -- 2032 Projected Market Size: USD 50.41 billion -- CAGR (2025--2032): 20.2%. AI in Supply Ch ...

Supermarket chain Hy-Vee has optimized its distribution and transportation network with the help of three solutions from Manhattan Associates: the solution providers’ Warehouse Management System (WMS) ...