Smart Indoor Navigation, Shopping Recommendation & Queue less billing based shopping assistant using AI

Shreya Kothavale, Shivam Pawar, Sanket Kankarej, Sonali Patil, R. Raut
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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.
使用人工智能的智能室内导航,购物推荐和基于排队计费的购物助手
本文提出了一种与现有系统可行地集成在一起的免排队计费系统,以方便和快速地在超市结账。该系统包括基于rfid的自动结账,以及为客户提供支持的移动应用程序。该应用程序将满足其他功能,如个性化购物推荐,产品搜索和室内导航,现场购物车和语音购物助手。用户在购物时将产品添加到购物车中。连接到购物车的移动应用程序将显示产品列表和账单信息。移动应用程序将有一个支付购物车中的产品的选项。付款后,用户可以直接带着购买物品离开。用户还可以搜索便利设施和产品,并导航到所需的位置。当用户购物时,他可以在移动应用程序上看到用户最有可能购买的产品的推荐,这些产品是基于用户以前的购物历史和购物车中的当前商品。该系统将为超市节省时间和资源。提高效率,让人们免于长时间排队等候。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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