Advanced Automation for Subscription-Based Order Management on Online Grocery Platforms

Advanced Automation for Subscription-Based Order Management on Online Grocery Platforms
  IJETT-book-cover           
  
© 2025 by IJETT Journal
Volume-73 Issue-8
Year of Publication : 2025
Author : Priyanka More, Sachin Sakhare, Anushka More
DOI : 10.14445/22315381/IJETT-V73I8P115

How to Cite?
Priyanka More, Sachin Sakhare, Anushka More,"Advanced Automation for Subscription-Based Order Management on Online Grocery Platforms", International Journal of Engineering Trends and Technology, vol. 73, no. 8, pp.180-189, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I8P115

Abstract
This work proposes a statistical averaging with a machine learning-based system to automate subscription-based grocery ordering on e-commerce websites. This new system uses dynamic rate analysis of consumption, forecasted ordering, and intelligent feedback systems to maximize the availability of products and minimize wastage. The system determines the most efficient reorder levels and frequencies by evaluating past purchase history and real-time consumption rates and levels. The implementation results demonstrate the improvement in customer satisfaction and accurate fulfilment of orders through personalized inventory management. An important novelty in the system, in terms of automated grocery subscription services, is its ability to learn from user feedback and adapt orders appropriately; this study has innovated formulas.

Keywords
Grocery, Automation, Statistics, Machine Learning, Subscription.

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