Short product life cycles, long supply chains.
AutoML Demand Forecasting methods
Our client was the retail arm of a multinational manufacturing client who wished to bring advanced demand forecasting to their operations. A lengthy supply chain combined with short product life cycles made for a complex dynamic, requiring long term forecasts that went far beyond the horizons of most retailers.
Remi AI was engaged to build a forecast pipeline for sales 9 months in advance. The complexities of such a forecast horizon will make most data scientists either go pale or lick their lips in delight (false dichotomy? maybe), and the team at Remi leapt at the opportunity. From the outset, there were two elements that were key to the success of this project:
The team at Remi AI was able to produce some exciting results on training data with accuracies averaging 25% MAPE across the product range. Given the long forecast horizon, the results will be verified as we move through the 9 month period - early results are looking excellent!