Demand Planning and Forecasting with AI: How Retailers Boost Profits Using Machine Learning

very excited to talk through the principles of uh demand planning and forecasting in the retail space. Uh my name is Victor Hart. I'm senior account executive here with Leafio um based in the US. And uh on the call with me today is uh Helen who is our product director for the demand planning and inventory optimization solution. First of all, we are going to talk just a little bit about the departments that are utilizing the forecasts and from the perspective of the sales and operation planning. How the forecast is utilized uh in terms of different uh departments and what factors are influencing the accuracy in each specific case. Of course, we are going to talk about just a couple of principles of the SNLP but in general and we are going to talk deeply about the machine learning models that can be utilized for covering the tasks of the demand forecasting and not only the demand forecasting just to talk about how these tasks and problems and issues can be covered with the help of the machine learning uh technologies. Of course

the factors that are influencing the accuracy of the machine learning models. Uh because really the machine learning is really about the data and the accuracy of the data and based on our experience success is heavily dependent on the data and the accuracy of the data. The smart ways to measure the forecasting success. Of course we will talk about the measurement of the metrics for the forecasting accuracy the forecasting mistakes. Furthermore, we will talk about the financial metrics, the outcomes that are influencing the financial results of each and every retail company that are dependent on the forecasting accuracy. So, let's start.