Shreya Kothavale, Shivam Pawar, Sanket Kankarej, Sonali Patil, R. Raut
{"title":"Smart Indoor Navigation, Shopping Recommendation & Queue less billing based shopping assistant using AI","authors":"Shreya Kothavale, Shivam Pawar, Sanket Kankarej, Sonali Patil, R. Raut","doi":"10.1109/aimv53313.2021.9670948","DOIUrl":null,"url":null,"abstract":"This paper presents a queue-less billing system feasibly integrated with existing systems for easy and fast checkout at supermarkets. This system includes RFID-based automatic billing checkout as well as a supporting mobile application for customers. The application will cater to additional features like personalized shopping recommendations, product search and indoor navigation, live cart, and voice-based shopping assistant. The user will add products to the cart while shopping. The mobile application connected to the cart will display the list of products and billing information. The mobile application will have an option to pay for the products in the cart. After payment, users can simply walk out with the purchase. Users can also search for amenities and products and navigate to the desired location. While the user is shopping, he can see the recommendations on the mobile application of the products which the user is most likely to buy based on his previous shopping history and current items in the cart. This system will save time and resources for the supermarkets. And improve efficiency along with giving freedom from long waiting queues.","PeriodicalId":135318,"journal":{"name":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aimv53313.2021.9670948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a queue-less billing system feasibly integrated with existing systems for easy and fast checkout at supermarkets. This system includes RFID-based automatic billing checkout as well as a supporting mobile application for customers. The application will cater to additional features like personalized shopping recommendations, product search and indoor navigation, live cart, and voice-based shopping assistant. The user will add products to the cart while shopping. The mobile application connected to the cart will display the list of products and billing information. The mobile application will have an option to pay for the products in the cart. After payment, users can simply walk out with the purchase. Users can also search for amenities and products and navigate to the desired location. While the user is shopping, he can see the recommendations on the mobile application of the products which the user is most likely to buy based on his previous shopping history and current items in the cart. This system will save time and resources for the supermarkets. And improve efficiency along with giving freedom from long waiting queues.