Abstract
This work describes a real use cases of a Machine Learning (ML) application in the business context.
The use case concerns the estimation of the potential of new Point of Sale (PoS), where for potential we mean the sales volumes from the second year with respect to the opening date of the contract. For this project, both a Gradient Boosting model and a Convolutional Neural Network, are used together.
The aim is to support the sales managers engaging new PoS with an automatic tool, which in each year’s quarter examines all the Italian active commercial activities and returns the most promising ones.
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Tozzi, J., Guarino, F. (2021). Potential Sales Estimates of a New Store. In: Masone, A., Dal Sasso, V., Morandi, V. (eds) Optimization and Data Science: Trends and Applications. AIRO Springer Series, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-030-86286-2_2
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DOI: https://doi.org/10.1007/978-3-030-86286-2_2
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