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Optimisation logistique
Quelles données pour une prévision des ventes pertinente ?
In order to generate models capable of accurately predicting future sales, machine learning must rely on multiple variables. Here we provide an overview of the different types of variables used, as well as the types of data from which they can be derived.
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Prévision des ventes : comment améliorer la précision grâce au machine learning ?
Discover how to improve your sales forecasting and reduce contextual risks with machine learning.
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Comment améliorer la prévision des stocks grâce au machine learning ?
The right product, at the right price, in the right place: discover how to forecast and optimize stocks thanks to machine learning.
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Calculer des intervalles de confiance avec XGBoost
Guillaume Saupin, CTO at Verteego proposes us to discover how to extend the possibilities of the famous XGBoost algorithm thanks to new objective functions. These new functions allow the calculation of confidence intervals, which are a way for data specialists to calculate sales forecasts in retail.
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Stratégie de pricing : Trouvez la meilleure technique d’optimisation des prix grâce au Machine Learning
Find out how machine learning can help you determine the best pricing strategy for successful sales or promotions. Case study…
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Soldes : la fin de l'âge d'or
According to an Odoxa poll of January 25, 2018, sales no longer have the exclusivity of low prices in the minds of consumers, to the point that 56% of French people would consider that sales are no longer useful.
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