Published January 1, 2026
| Version v1
Journal article
Open
Role Of AI-Driven Recommendations In Shaping Consumer Oreders On Food Delivery Apps In Coimbatore
Authors/Creators
Description
Food delivery apps have become an important part of daily life, and many of them use Artificial Intelligence (AI) to suggest food items to users based on their preferences and previous orders. This study focuses on understanding how AI-driven recommendations influence consumer ordering behavior on food delivery apps in Coimbatore. The research explores whether personalized suggestions affect the choices customers make while ordering food online. It also examines how these recommendations impact order frequency, customer satisfaction, and overall user experience. Data for the study can be collected from users of food delivery apps through surveys. By analyzing customer responses, the study aims to identify how strongly AI-based suggestions influence purchasing decisions. The research also looks at how consumers perceive the usefulness and reliability of these recommendations. The findings may help understand how AI technology improves customer engagement and supports businesses in increasing sales. Overall, the study highlights the growing role of AI in shaping modern food ordering habits and consumer behavior in Coimbatore.
Files
ijnrefm-volume4-issue1-165.pdf
Files
(799.7 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:aee3eb576e08bff291a78cdeebd962b3
|
799.7 kB | Preview Download |
Additional details
Related works
- Has part
- Journal article: https://ijnrefm.com/wp-content/uploads/ijnrefm-volume4-issue1-165.pdf (URL)
- Is identical to
- Journal article: https://ijnrefm.com/role-of-ai-driven-recommendations-in-shaping-consumer-oreders-on-food-delivery-apps-in-coimbatore/ (URL)