This client project helped a Fortune 500 food company improve its demand forecasting. The company ships products directly to multiple retail outlets. The improvement helped them optimize the stocking of their products in different stores across several regions of the United States. To achieve this, Microsoft's Commercial Software Engineering (CSE) team worked with the client's data scientists on a pilot study to develop customized machine learning models for the selected regions. The models take into account:
https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/mlops-technical-paper
