“Launching an ML-enabled sales forecasting has been part of a large initiative to transform the S&OP process in the company. Our demand planning team got hold of not only a more high quality forecast, factoring in features and patterns which were never leveraged by the statistical methods and analysts, but a user interface in Anaplan to review, correct and finalize the ML forecast in Anaplan.”
A large distributor of exotic fruits and berries is selling the produce in top national retailers as well as HORECA. Considering the nature of perishable products, growing forecast accuracy is a top priority for the business. Chiefly, this is crucial for a short-term sales forecast, which used to be generated by an outdated IT tool and demand planners.
Developing a forecasting model based on Machine learning algorithms was part of a bigger project meant to automate the Sales and Operation process (S&OP) with Anaplan, a renowned connected planning platform.
The Planingo team developed and launched a ML-enabled sales forecasting model for different forecasting horizons and an interface to manage the forecasts by the demand planning team: