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Optimisation logistique
Verteego, the augmented decision-making platform, chosen by Europcar Mobility Group for optimizing its vehicle fleet.
As Europe's leading car and utility vehicle rental company, Europcar Mobility Group has teamed up with Verteego, an AI-powered decision-making platform, to streamline its vehicle procurement and sales processes, enhancing fleet management.
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Verteego reconnue par Quadrant Knowledge Solutions comme l'un des leaders de la SPARK Matrix™ 2023 : "Retail Forecasting & Replenishment"
Verteego, an AI platform for optimizing operational decisions related to inventory, promotions, pricing, assortment, merchandising, and treasury, has been recognized as one of the leaders in Quadrant Knowledge Solutions' SPARK Matrix™ 2023 for 'Retail Forecasting & Replenishment' solutions.
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Verteego lève 2,5 millions d’euros pour aider les acteurs du retail à relever les défis de la croissance économique et de la sobriété grâce à l'IA
Avec cette levée de série seed auprès de partenaires de premier plan, Verteego va permettre aux acteurs de la distribution d’optimiser l’allocation de leurs ressources dans un contexte économique incertain, accélérer son développement et amplifier l’accompagnement de ses clients en France et à l’étranger
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Verteego cité par Gartner comme fournisseur représentatif dans le "Market Guide for Retail Forecasting and Replenishment Solutions 2022"
Verteego, a high-precision predictive AI platform for simulating and reliably making all decisions related to inventory, promotions, pricing, assortment, merchandising and cash flow, today announced that it has been recognized as a representative vendor in Gartner's "Market Guide for Retail Forecasting and Replenishment Solutions 2021" (Gartner subscription required). Verteego is one of 26 vendors cited in the report.
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Quel historique pour une prévision des ventes fiable ?
How does a data history ensure the reliability of a sales forecast? How much data is needed for a machine learning model?
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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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