Tag Archives: modelling

by in Retail

Consumption Intelligence Engine Using Clustering And Time Series Modelling

American multinational food, snack and beverage corporation Problem Statement Lack of visibility into future consumption resulting in sub-optimal inventory management, often leading to overstocks/ understocks Low volume of flavor shot add-ons – lost dollar opportunity Solution Approach Data Input Model Dataset Dynamic K-means clustering to identify store clusters with similar consumption Time series forecasting for […]

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