{"id":4912,"date":"2026-09-01T11:44:08","date_gmt":"2026-09-01T15:44:08","guid":{"rendered":"https:\/\/ravyx.com\/?p=4912"},"modified":"2026-09-01T11:46:50","modified_gmt":"2026-09-01T15:46:50","slug":"ai-powered-theft-prevention","status":"publish","type":"post","link":"https:\/\/ravyx.com\/fr_ca\/ai-powered-theft-prevention\/","title":{"rendered":"Pr\u00e9vention des vols gr\u00e2ce \u00e0 l'IA pour le commerce de d\u00e9tail moderne\u00a0"},"content":{"rendered":"<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>R\u00e9sum\u00e9\/Points forts du blog :\u00a0\u00a0<\/strong><\/summary>\n<ul class=\"wp-block-list\">\n<li>Les cam\u00e9ras traditionnelles permettent de filmer des incidents, mais les technologies bas\u00e9es sur l'IA sont capables d'analyser en temps r\u00e9el les interactions avec les produits, les d\u00e9placements et l'activit\u00e9 aux caisses.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>ELERA peut profiter d'une p\u00e9riode de \u00ab mode silencieux \u00bb pour observer l'activit\u00e9 du magasin et identifier des tendances comportementales avant le d\u00e9ploiement complet.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>La reconnaissance des produits gr\u00e2ce \u00e0 l'IA permet d'identifier les articles aux caisses en libre-service, ce qui r\u00e9duit les saisies manuelles et aide les clients \u00e0 passer en caisse plus rapidement.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Les donn\u00e9es en temps r\u00e9el aident les commer\u00e7ants \u00e0 d\u00e9tecter les vols, les fraudes et les erreurs manuelles, tout en fournissant aux \u00e9quipes des informations exploitables.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Une meilleure pr\u00e9vention des pertes peut contribuer \u00e0 la rentabilit\u00e9, \u00e0 l'efficacit\u00e9 du personnel et \u00e0 une exp\u00e9rience client plus fluide.\u00a0<\/li>\n<\/ul>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>FAQ : En quoi les technologies bas\u00e9es sur l'IA contribuent-elles \u00e0 pr\u00e9venir le vol \u00e0 l'\u00e9talage ?<\/strong><\/summary>\n<p class=\"wp-block-paragraph\">Les technologies bas\u00e9es sur l'IA permettent d'analyser en temps r\u00e9el les images de vid\u00e9osurveillance, les interactions avec les produits, les d\u00e9placements et les op\u00e9rations de caisse. Cela peut aider les commer\u00e7ants \u00e0 rep\u00e9rer plus rapidement les \u00e9ventuelles anomalies, les comportements suspects et les erreurs humaines qu'avec la surveillance traditionnelle seule.<\/p>\n<\/details>\n\n\n\n<h2 class=\"wp-block-heading\">Une nouvelle approche de la gestion des vols<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Les cam\u00e9ras de s\u00e9curit\u00e9 traditionnelles jouent un r\u00f4le important dans le commerce de d\u00e9tail, mais leurs capacit\u00e9s sont limit\u00e9es lorsqu'elles servent principalement \u00e0 enregistrer des \u00e9v\u00e9nements d\u00e9j\u00e0 survenus. Il faut toujours quelqu'un pour visionner les images, rep\u00e9rer les activit\u00e9s inhabituelles et d\u00e9terminer si un incident n\u00e9cessite une intervention.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Cela devient de plus en plus difficile \u00e0 mesure que les caisses en libre-service se g\u00e9n\u00e9ralisent.\u00a0<a href=\"https:\/\/ravyx.com\/fr_ca\/self-checkout-reduces-front-end-labor\/\">Les caisses libre-service<\/a> offrent aux clients plus de flexibilit\u00e9 et peut aider les commer\u00e7ants \u00e0 am\u00e9liorer l'efficacit\u00e9 du passage \u00e0 la caisse, mais cela cr\u00e9e \u00e9galement des risques d'oubli de scan, de saisies incorrectes et d'autres formes de fraude \u00e0 la caisse. Rien qu'en 2025, il a \u00e9t\u00e9 rapport\u00e9 qu'aux \u00c9tats-Unis seulement, environ\u00a0<a href=\"https:\/\/scopvc.com\/blog\/ai-for-retail-theft\/\" target=\"_blank\" rel=\"noreferrer noopener\">$48 billion dollars were lost due to retail crime.<\/a>\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is forecasted that theft and fraud will only increase if no actionable&nbsp;solutions&nbsp;are implemented.&nbsp;This is where the conversation around theft prevention needs to evolve. Retailers are not simply trying to see more. They need technology that can understand more.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why Traditional Loss Prevention Needs an AI-Powered Upgrade\u00a0<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Adding more cameras does not necessarily mean adding more visibility. When teams have hours of footage to review, important activity can easily be missed. AI changes this by continuously analyzing activity and&nbsp;identifying&nbsp;patterns that may&nbsp;warrant&nbsp;attention.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/ravyx.com\/fr_ca\/product-offerings\/pos-software\/elera\/\">ELERA\u2019s<\/a>\u00a0approach can begin with a silent-mode observation period, allowing the technology to\u00a0monitor\u00a0activity before full deployment. Over\u00a0an initial\u00a030\u00a0to\u00a060\u00a0day\u00a0period, the\u00a0platform will\u00a0examine patterns, product\u00a0interactions\u00a0and customer activity to\u00a0establish\u00a0a better understanding of the environment.\u00a0This observation period is important because every retail store\u00a0operates\u00a0differently.\u00a0Once those patterns are understood, AI can help retailers move to a more proactive\u00a0solution. Instead of relying on employees to watch every interaction, technology can continuously\u00a0monitor\u00a0activity.\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If&nbsp;a customer places a banana in the self-checkout area but enters a different product, instead of relying solely on the customer to select the correct produce code, AI-powered computer vision can analyze the item and&nbsp;identify&nbsp;that it&nbsp;appears to be&nbsp;a banana.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How AI and Real-Time Data Transform Theft Prevention\u00a0<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The real value of AI-powered loss prevention comes from its ability to connect what the camera sees with what is happening in the store in real time.&nbsp;AI can analyze signals such as movement, object handling, product interactions,&nbsp;timing&nbsp;and activity around the checkout area. Computer vision systems are increasingly capable of recognizing concealment gestures,&nbsp;identifying&nbsp;objects and comparing physical activity with checkout events.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The goal is not to have technology make every decision independently. Instead, AI provides retailers with better information&nbsp;at the moment&nbsp;it matters, allowing employees to focus their attention where it is most needed&nbsp;and allow retailers to make more informed decisions based on collected data.&nbsp;&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How\u00a0AI-Powered Produce Recognition Makes Self-Checkout Smarter\u00a0\u00a0<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Loss prevention however is only one part of the opportunity of&nbsp;utilizing&nbsp;AI-detection in your stores.&nbsp;<a href=\"https:\/\/www.forbes.com\/councils\/forbesbusinessdevelopmentcouncil\/2024\/10\/23\/loss-prevention-in-retail-a-data-driven-ai-powered-approach\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI-powered product recognition can also make the self-checkout experience faster and easier<\/a>. Produce is a good example because customers traditionally need to&nbsp;identify&nbsp;an item and manually enter the corresponding product number or search through a list.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With AI-powered recognition, a camera can&nbsp;identify&nbsp;the product based on its visual characteristics and help match it to the&nbsp;appropriate item.&nbsp;That means less manual input, fewer opportunities for incorrect entries and less need for employees to intervene when customers are unsure which product code to select.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Over time, these small improvements can have a meaningful operational impact. Based on the ELERA information&nbsp;based on&nbsp;a major grocery retailer, after&nbsp;using the technology&nbsp;within the first few months, they reported&nbsp;an average of approximately 3.28 labor hours per day&nbsp;saved.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For customers, the benefit is simple, it allows for&nbsp;less friction at checkout, and&nbsp;for employees, it means spending less time correcting produce entries or&nbsp;assisting&nbsp;with routine checkout questions.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Powering Productivity Without Disrupting Existing Operations\u00a0\u00a0<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One of the biggest advantages of an AI-powered approach is that retailers do not need to abandon the processes they already have in place. AI can work alongside existing cameras, point-of-sale systems, self-checkout&nbsp;technology&nbsp;and loss-prevention teams. Instead of creating another disconnected system, the goal is to connect existing store activity with intelligent data and actionable insights.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This can help retailers better understand what is happening across their operations, from checkout behavior to customer interactions and product activity. The result is a more adaptable approach to retail management.&nbsp;Employees can spend less time manually reviewing activity and more time acting on information that has already been analyzed.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Reducing Shrink and Manual Errors with AI\u00a0<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Shrink does not come exclusively from theft. Inventory loss can also result from errors, inaccurate product entries, administrative&nbsp;mistakes&nbsp;and other operational issues.&nbsp;AI can help retailers address some of these preventable losses by&nbsp;identifying&nbsp;discrepancies earlier.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At self-checkout, product recognition can help reduce incorrect produce entries. At the same time, computer vision can help\u00a0identify\u00a0potential mismatches between what a customer handles and what is recorded in the transaction. Reducing these errors has a direct <a href=\"https:\/\/ravyx.com\/fr_ca\/contact-us\/\" data-type=\"link\" data-id=\"https:\/\/ravyx.com\/contact-us\/\">connection to profitability<\/a>. Every prevented loss protects more of the value already generated by the store.\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There is also a labor benefit&nbsp;because when&nbsp;employees&nbsp;are not constantly required to&nbsp;correct avoidable errors or manually&nbsp;monitor&nbsp;every checkout interaction, retailers can use their teams more efficiently.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Better accuracy, better&nbsp;visibility&nbsp;and more efficient labor allocation can&nbsp;ultimately contribute&nbsp;to a more consistent customer experience. When products, prices and transactions are accurately represented, customers can move through the store with greater confidence.<\/p>\n\n\n\n<div class=\"schema-faq wp-block-yoast-faq-block\"><div class=\"schema-faq-section\" id=\"faq-question-1788276496029\"><strong class=\"schema-faq-question\">What is ELERA\u2019s silent mode?<\/strong> <p class=\"schema-faq-answer\"><a href=\"https:\/\/ravyx.com\/fr_ca\/elera-pr\/\" data-type=\"link\" data-id=\"https:\/\/ravyx.com\/elera-pr\/\">ELERA <\/a>can\u00a0operate\u00a0in a silent observation period before full deployment, allowing the system to analyze store-specific activity and\u00a0establish\u00a0patterns. A\u00a030 to 60 day\u00a0observation period can help retailers understand normal activity and improve how the technology is configured for their environment.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1788276517353\"><strong class=\"schema-faq-question\">Can AI improve self-checkout beyond theft prevention?<\/strong> <p class=\"schema-faq-answer\">Yes. AI-powered produce recognition can help\u00a0identify\u00a0products automatically, reducing the need for customers to manually enter produce codes. This can make checkout faster while reducing incorrect entries and the need for employee\u00a0assistance.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1788276528402\"><strong class=\"schema-faq-question\">Why is real-time data important for loss prevention?<\/strong> <p class=\"schema-faq-answer\">Real-time data allows retailers to respond to potential issues while they are happening rather than discovering them later through inventory counts or manual footage reviews. This can help retailers reduce preventable losses and make faster operational decisions.<\/p> <\/div> <\/div>","protected":false},"excerpt":{"rendered":"<p>A New Approach to How Theft Is Managed Traditional security cameras have&nbsp;an important role&nbsp;in retail, but their capabilities are limited when they are primarily being used to record what has already happened. Someone still needs to&nbsp;monitor&nbsp;footage,&nbsp;identify&nbsp;unusual activity and&nbsp;determine&nbsp;whether an incident requires action.&nbsp; This becomes increasingly difficult as self-checkout grows.\u00a0Self-checkout gives customers more flexibility and can [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":4913,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4912","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Future of Theft Prevention Is AI-Powered Technology | Ravyx<\/title>\n<meta name=\"description\" content=\"Toshiba ELERA uses AI-powered technology and real-time data to strengthen theft prevention, reduce shrink, and improve retail operations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ravyx.com\/fr_ca\/ai-powered-theft-prevention\/\" \/>\n<meta property=\"og:locale\" content=\"fr_CA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Future of Theft Prevention Is AI-Powered Technology | Ravyx\" \/>\n<meta property=\"og:description\" content=\"Toshiba ELERA uses AI-powered technology and real-time data to strengthen theft prevention, reduce shrink, and improve retail operations.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ravyx.com\/fr_ca\/ai-powered-theft-prevention\/\" \/>\n<meta property=\"og:site_name\" content=\"Ravyx\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/stcrpos\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-01T15:44:08+00:00\" \/>\n<meta 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