The recent disruption of supply chains has pushed companies to upgrade their planning, but flawed forecasting can make those efforts more difficult. In the current issue of Harvard Business Review, UNC Kenan-Flagler Business School’s Vinayak Deshpande and his co-authors write about a new way to address this problem using machine learning and historical data to improve recommendations for supply chain decisions.
Read the article here.