{"id":467,"date":"2026-07-08T23:24:16","date_gmt":"2026-07-08T22:24:16","guid":{"rendered":"https:\/\/rikonrahman.com\/r1\/?page_id=467"},"modified":"2026-07-09T00:43:59","modified_gmt":"2026-07-08T23:43:59","slug":"caper-ai-worlds-first-ai-powered-shopping-cart","status":"publish","type":"page","link":"https:\/\/rikonrahman.com\/r1\/caper-ai-worlds-first-ai-powered-shopping-cart\/","title":{"rendered":"Caper AI: World\u2019s First AI-Powered Shopping Cart"},"content":{"rendered":"\t\t
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All case studies <\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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AI \/ Retail<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Caper AI: World\u2019s First AI-Powered Shopping Cart\n<\/h1>\t\t\t\t<\/div>\n\t\t\t\t
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Overview<\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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Study says, 86% of U.S. consumers have left a store due to long queues in the last 12 months (PR News Wire, 2018). With customers leaving empty handed, retailers are losing an estimated $38 billion in potential sales. It clearly indicates that there was something very wrong with the shopping stores. The main goal of Caper was to revolutionize the shopping experience in super stores and encourage the customers to come stores for shopping by making the store experience more attractive. Our team decided to use power of artificial intelligence in order to accomplish the goal.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Understand & Define Problem:\n<\/h3>\t\t\t\t<\/div>\n\t\t
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Interview<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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The team selected 50+ stores to take interview. We designed our questions in a way where user don\u2019t just say yes or no, rather, we asked them descriptive questions. For Example, we asked the store owners and customers about their pain points that they face on a day-to-day basis. Based on their answers we found some valuable information. Among them, the most common problems were:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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  • Someone always needs to stay in the cash<\/li>
  • Scanning the items<\/li>
  • Too few open checkout<\/li>
  • Long wait in till<\/li>
  • Confusing store layout<\/li>
  • Hard to find items<\/li>
  • Wait for scan<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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    We categorized these problems into 3 sections<\/strong><\/h3><\/div><\/div>

    1) Finding Items:<\/strong><\/h3><\/div><\/div>

    Finding items was a common problem for all customers. Some customers claimed they get so confused and forget what to buy.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    2) Scan Items:<\/strong><\/h3><\/div><\/div>

    Owners and customers feel current scanning process is time consuming and its boring for waiting in the queue. Cashiers also get tired by serving so many customers manually.<\/p><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    3) Checkout:<\/strong><\/h3><\/div><\/div>

    Most of the customers agreed checkout process is a boring process for them. The same long queue and dealing with cashier are what they felt issues with checkout.<\/p><\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    The team, including me, also conducted secondary research about the issues. We found similar issues are arising almost everywhere.<\/h3><\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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    Competitor Research and Findings:<\/strong><\/h3><\/div><\/div>

    Here we found the giant Amazon is also trying to solve the same problem with Amazon Go service. But it requires entire stores to be outfitted with sensors and cameras. This is a very expensive approach and it can\u2019t go into Whole Food, because, you\u2019d have to tear down the entire store\u2019s existing infrastructures to implement sensors and camera.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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    Product Solutions<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    Solution 1 - Finding items:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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    In grocery stores finding items is always a frustrating job. Some people just feel lost! Our goal was to make the searching process as easy as possible. Initial idea was, the user will search for an item in a device and it will tell which aisle the item is located.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    But our team want to make the function more advanced and seamless. Therefore, we took one more step, and we decided to not only tell the aisle name but also show the location on the device with a map.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    We went further and added the suggested items with location while the user is typing for any item.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    Solution 2 \u2013 Scan Items:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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    This one was a major pain point for all store owners and customers. The initial solutions were, there will be a scanner in the cart where the customers can scan and drop the products. But our main goal was to make the process more and more simple. After thinking more options, we finally decided to use lances that automatically scan products. So, the customers don\u2019t need to be think for scanning. They just drop the product and go!<\/p>

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    \nSolution 3 \u2013 Cashier-less Checkout:<\/h5>\t\t\t\t<\/div>\n\t\t\t\t
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    Facing this challenge was quite tough. The product goal was to shape the entire shopping experience in an innovative way. Like other two solutions, our plan was to provide immediate service to the customers. Because, waiting for the payment in the queue was most common pain point for the customers. And the only solution was, \u201cDo It, Now!\u201d In order to accomplish the challenge our team agreed to put the payment system in the shopping cart itself.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    Extra Feature \u2013 Recommended Items:<\/strong><\/h3><\/div><\/div>

    Studied about shopper\u2019s behavior says, t<\/span>o buy a typical item, the shopper takes 5 seconds. But for the item that not typical purchase, it takes 30 seconds or more. In shopping mood it\u2019s a long time gap. It is the perfect time for Caper to push a recommendation or offer a coupon for a particular brand. Moreover, Caper can collect the heat maps of a customer shopping journey\u2014to understand how customers walk through the store. It helps the system to recommend more accurate item to the customers.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    Final Solution:<\/strong><\/h3><\/div><\/div>

    So, the ultimate solution is, a shopping cart with an android tab attached with it where the user can search for any item, find the item using the built-in map of the store in the device. The lances attached in the cart can automatically scan the item when user put anything inside of it. The cart also shows recommended items to the customers. Finally, user can pay and checkout from the cart.<\/p><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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    Design & Prototype<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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    UX Design:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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    Here you come with the role of UX. I just added some prominent features of the system below:<\/p><\/div><\/div>