Predicting the Demand for Fmcg using Machine Learning
نویسندگان
چکیده
Now-a-days the more accurate prediction of demand for fast-moving consumer goods (FMCG) is a competitive factor both manufacturers and retailers, especially in super markets, wholesale fresh food sectors other consumable industries. This proposed system presents benefits Machine Learning sales forecasting short shelf-life highly-perishable products, as it predict statistical information result, improves inventory balancing throughout chain, improving availability to consumers increasing profitability. performance done with various classification algorithms comparative study some metrics like accuracy, precision, recall f-score. So that helps finding customer need increase profit manufacturers.
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ژورنال
عنوان ژورنال: International journal of engineering and advanced technology
سال: 2021
ISSN: ['2249-8958']
DOI: https://doi.org/10.35940/ijeat.c2253.0210321