Meal Delivery Apps Using User Behavioural Data

PDF A Study on Consumer Behaviour towards Online Food Delivery

The primary focus of this study report is how consumers see online food delivery apps . Examining and assessing the data acquired from each and every user of the online meal delivery applications is the aim of the study.

They use haptic feedback to confirm orders, algorithms to instantly suggest meals , and generative-AI tools that notice delivery delays, apologize to the user , offer a free item, and update the delivery time automatically. These technologies raise new challenges such as balancing convenience with privacy, or efficiency with fairness [3].

Moving forward, it's essential to keep these visual contexts in mind when discussing Meal Delivery Apps Using User Behavioural Data.

Decoding customer experiences on meal delivery apps : A cross-platform text-mining analysis of online reviews through the lens of service psychology theories