OFDA: A Comprehensive and Integrated Approach for Predicting Estimated Delivery Time for Online Food Delivery

Abstract

Forecasting delivery schedule has always been a basis of urban logistics, but fine-tuning accuracy is now vital for successful outcomes. People's everyday demands have indeed been satisfied by Internet meal online delivery services across the globe; for example, platform-to-consumer and steakhouse deliveries in India hit an all-time high of 290 billion orders in 2021 (Purvis et al. in Sustain Sci 14:681–695 [1]). From of the time a client places an order until it arrives at their door, restaurants must provide correct info about when their meal will be distributed. Offering an estimated time that is longer than the real delivery date would discourage consumers from purchasing, while giving a rough guesstimate that is less than the real delivery will boost the number of people who contact our customer service. The major purpose of this study is to propose and provide a Online Food Delivery Assistant (OFDA) establish essential factors for forecasting food delivery batch sizes, as well as to provide a framework for making reliable forecasts. The key impacts and problems of delivery operations in India's various industries are examined and contrasted.