ISSN: 2265-6294

MACHINE LEARNING-DRIVEN RETAILER TYPE CLASSIFICATION BASED ON ANALYSIS OF FOOD WASTE DATA

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Dr. J. Srikanth , M. Ramyasri , G. Snehitha Reddy , J. Ram Kumar

Abstract

Effective inventory management is essential for profitability and sustainability in the retail industry. Food waste is a substantial challenge for merchants, affecting both economic and environmental aspects. Machine learning (ML) methods have the ability to analyze data on food waste and offer valuable insights that can assist in categorizing stores according to their waste tendencies. Analyzing waste data can provide valuable insights on different types of retailers, which can then be used to develop focused strategies for reducing waste and promoting sustainability

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