[3] OPTIMISATION OF FOOD DELIVERY SYSTEM USING ARTIFICIAL INTELLIGENCE IN MUMBAI REGION

ARTICLE INFO: Date of Submission: April 10, 2025, Revised: April 21, 2025, Accepted: April 30, 2025, https://doi.org/10.56815/ijmrr.v4i2.2025.34-44

Authors

  • Anita Chaudhary Assistant Professor, Department of Management, Vidyalankar School of Information Technology, India.
  • Dr. Vrittee Parikh Associate Professor, Department of Management Studies, Aditya Institute of Management Studies and Research, India.

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https://doi.org/10.56815/ijmrr.v4i2.2025.34-44

Abstract

 The food delivery business in Mumbai is a vibrant and quickly expanding sector that serves the city's fast-paced and diverse population. The role of artificial intelligence in food delivery systems to optimize operations and improve customer experiences is becoming more and more demanded by customers who want faster, more individualized, and more efficient food delivery services. Predictive analytics for customer retention, dynamic menu customization, predictive delivery time estimation, AI chatbots for food ordering, and automated customer query resolution are some of the factors that are the subject of this paper. The difficulties and elements that affect food delivery system optimization and improve customer experiences are further examined in the paper. The creation of food delivery applications in Mumbai and future improvements to food delivery services would benefit from these findings.

Keywords:

Food Delivery System,  Artificial Intelligence, Operation optimization, Customer experiences

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