Reducing Food Waste by Demand Forecasting at Scale
Ahold Delhaize is one of the world’s largest food retail groups. We use in-house built machine learning algorithms for demand forecasting, to reduce food waste and improve product availability. We make an extremely large number of forecasts every day, creating forecasts on SKU level for each store on a variety of forecasting windows. In this presentation, we will explain some of the challenges we dealt with when developing the models. We will share differences and similarities in approach for e-commerce vs. brick-and-mortar stores. Finally, we will discuss the solution design and the orchestration of all models that are in production.
Rick Rijkse is a Principal Data Scientist at the Global Data & Analytics team of Ahold Delhaize. As expert on forecasting, he supports a variety of data science teams within the organization in implementing and improving forecasting algorithms. He has 10 years of experience in data science in different industries (advertising, finance and retail) and holds a master’s degree in Econometrics from the Erasmus University of Rotterdam.