{"id":83270,"date":"2026-04-11T23:30:24","date_gmt":"2026-04-11T21:30:24","guid":{"rendered":"https:\/\/wishibam.com\/uncover-how-generative-ai-can-revolutionize-your-retail-sales-with-our-7-essential-secrets-to-supercharge-your-business-strategy\/"},"modified":"2026-04-11T23:30:24","modified_gmt":"2026-04-11T21:30:24","slug":"uncover-how-generative-ai-can-revolutionize-your-retail-sales-with-our-7-essential-secrets-to-supercharge-your-business-strategy","status":"publish","type":"post","link":"https:\/\/wishibam.com\/en\/uncover-how-generative-ai-can-revolutionize-your-retail-sales-with-our-7-essential-secrets-to-supercharge-your-business-strategy\/","title":{"rendered":"The 7 Secrets to Skyrocket Your Sales with Generative AI"},"content":{"rendered":"<article class=\"wishibam-article\">\n<style>\n:root{\n--wish-primary:#00B5B8;\n--wish-dark:#002A3A;\n--wish-light:#F9FBFA;\n}\nbody{background:var(--wish-light);color:var(--wish-dark);font-family:\"Montserrat\",Arial,sans-serif;}\n.wish-title{color:var(--wish-primary);font-size:1.75rem;margin:0 0 1rem;}\n.wish-h2{color:var(--wish-dark);font-size:1.25rem;margin:1.25rem 0 .75rem;}\n.wish-h3{color:var(--wish-dark);font-size:1.1rem;margin:1rem 0 .5rem;}\np{line-height:1.6;margin:0 0 1rem;}\nul{list-style:square;margin:0 0 1rem 1.25rem;padding:0;}\nul li{margin:.5rem 0;}\na{color:var(--wish-primary);text-decoration:none;}\na:hover{text-decoration:underline;}\ndetails.wish-faq{border:1px solid #e3e3e3;border-radius:6px;padding:.5rem;margin:1rem 0;background:#fff;}\ndetails.wish-faq summary{font-weight:600;cursor:pointer;list-style:none;}\ndetails.wish-faq[open] summary{color:var(--wish-primary);}\n.wish-card{background:#fff;border:1px solid #e5e5e5;border-radius:8px;box-shadow:0 2px 4px rgba(0,0,0,.05);padding:1.25rem;margin:1.5rem 0;}\nblockquote{border-left:4px solid var(--wish-primary);padding:.25rem 1rem;font-style:italic;margin:1rem 0;background:#f2fefe;}\ntable{border-collapse:collapse;width:100%;margin:1.5rem 0;}\nth,td{border:1px solid #e5e5e5;padding:.5rem;text-align:left;}\nth{background:var(--wish-light);color:var(--wish-dark);font-weight:600;}\n<\/style>\n<h1 class=\"wish-title\">The 7 Secrets to Skyrocket Your Sales with Generative AI<\/h1>\n<p><em>By Charlotte Journo-Baur, Founder of WISHIBAM<\/em><\/p>\n<section class=\"wish-card\">\n<p>A few months ago, a sales director at a French textile retailer confided in me, somewhat embarrassed, that he&#8217;d spent three weeks waiting for product visuals to launch his new collection. Three weeks. In a sector where reactivity makes the difference between a campaign that hits big and a missed opportunity, this kind of delay is no longer acceptable. And yet, it&#8217;s still the norm in far too many retail organizations.<\/p>\n<\/section>\n<p>What is generative AI? It&#8217;s precisely the answer to this type of bottleneck. Generative AI refers to a family of technologies capable of producing original content\u2014text, images, video, code\u2014from simple natural language instructions. It doesn&#8217;t just analyze existing data: it creates. And that&#8217;s where everything changes for commerce.<\/p>\n<blockquote><p>\nIn 2024, according to McKinsey, generative AI already represented a potential added value estimated between $2.6 trillion and $4.4 trillion per year globally, across all industries combined.\n<\/p><\/blockquote>\n<p>Retail ranks among the most directly impacted sectors, with use cases touching content creation, customer personalization, inventory management, and shopping experience alike.<\/p>\n<p>In this article, I&#8217;ll share the 7 secrets that the most advanced retailers are already using to transform generative AI into a concrete growth lever. No vague theory, no empty promises: real applications, identified tools, measurable results. And if you&#8217;re still wondering where to start, you&#8217;ll be in the right place by the end of this read.<\/p>\n<h2 class=\"wish-h2\">Understanding Generative AI<\/h2>\n<h3 class=\"wish-h3\">What Is Generative AI<\/h3>\n<p>Generative AI is a branch of artificial intelligence that has made a spectacular leap since 2022. Unlike so-called &#8220;discriminative&#8221; AI\u2014those that classify, detect, or predict from existing data\u2014generative AI produces new content. It generates. Hence the name.<\/p>\n<p>Technically, it relies on models trained on considerable volumes of data: billions of texts, images, sounds. These models learn structures, patterns, correlations. Then, from an instruction\u2014what we call a &#8220;prompt&#8221;\u2014they produce a coherent and original response.<\/p>\n<p>For retail, this concretely means: generating a product description in 10 seconds, creating a lifestyle visual without a photo shoot, writing a personalized email campaign for each customer segment, or even simulating a product&#8217;s appearance in different colors without going through physical production.<\/p>\n<p>What distinguishes generative AI from classic digital tools is its ability to adapt to context. It doesn&#8217;t repeat a template. It composes. And this nuance radically changes what we can expect from it in a commercial environment where differentiation is constant.<\/p>\n<blockquote><p>\nA common misunderstanding also needs clearing up: generative AI isn&#8217;t a magic tool that replaces creative teams. It&#8217;s an accelerator\u2014a digital collaborator that handles repetitive or time-consuming tasks to free up teams for what truly requires human intelligence: strategy, taste, customer relations.\n<\/p><\/blockquote>\n<p>At WISHIBAM, we observe this transformation daily in the retail organizations we support. Teams that adopt generative AI don&#8217;t work less\u2014they work better.<\/p>\n<h3 class=\"wish-h3\">How Generative AI Works<\/h3>\n<p>Behind the apparent simplicity of an interface where you type an instruction and get a result, there&#8217;s sophisticated mechanics. Today&#8217;s most widespread generative AI models\u2014OpenAI&#8217;s GPT-4, Google&#8217;s Gemini, Anthropic&#8217;s Claude for text, Midjourney, DALL-E, or Stable Diffusion for images\u2014all operate on a common principle: probabilistic prediction.<\/p>\n<p>For text, these models (called LLMs, Large Language Models) predict, word by word, what is the most probable and coherent continuation of a sentence, considering the provided context. For images, diffusion models start from random visual &#8220;noise&#8221; and progressively refine it until obtaining an image corresponding to the given description.<\/p>\n<p>What&#8217;s fascinating\u2014and sometimes unsettling\u2014is that these models don&#8217;t truly &#8220;understand&#8221; in the human sense. They operate through statistical associations at a scale the human brain cannot apprehend. And yet, the results are often strikingly relevant.<\/p>\n<section class=\"wish-card\">\n<p>For a retailer, understanding this operation has a direct practical implication: result quality largely depends on instruction quality. A vague prompt will yield a generic result. A precise, contextualized prompt with clear constraints will yield an immediately usable result. This is why &#8220;prompt engineering&#8221; has become a skill in its own right within the most advanced marketing and merchandising teams.<\/p>\n<\/section>\n<p>The good news? This skill is quickly acquired. And platforms like WISHIBAM integrate these logics directly into their interfaces, so retail teams don&#8217;t have to become engineers to benefit from them.<\/p>\n<h3 class=\"wish-h3\">AI Tools for Retail<\/h3>\n<p>The AI tools market for retail has literally exploded in two years. It&#8217;s become difficult to navigate, and that&#8217;s often where decision-makers get lost: by wanting to test everything, nothing really gets deployed.<\/p>\n<p><strong>Main use-cases and tools:<\/strong><\/p>\n<ul>\n<li><strong>Textual content creation:<\/strong>\n<ul>\n<li>ChatGPT (OpenAI)\u2014writing product descriptions, emails, scripts<\/li>\n<li>Claude (Anthropic)\u2014effective for long and nuanced content<\/li>\n<li>Jasper\u2014marketing-oriented, with retail templates<\/li>\n<li>Copy.ai\u2014for e-commerce teams and volume generation<\/li>\n<\/ul>\n<\/li>\n<li><strong>Image and visual creation:<\/strong>\n<ul>\n<li>Midjourney\u2014the aesthetic reference<\/li>\n<li>DALL-E 3 (OpenAI)\u2014integrated with ChatGPT<\/li>\n<li>Adobe Firefly\u2014inside Adobe suite, for already-equipped teams<\/li>\n<li>Stable Diffusion\u2014open source, customizable, local deployment<\/li>\n<\/ul>\n<\/li>\n<li><strong>Personalization and customer experience:<\/strong>\n<ul>\n<li>Dynamic Yield\u2014real-time personalization<\/li>\n<li>Nosto\u2014AI product recommendations for e-commerce<\/li>\n<li>WISHIBAM\u2014retail platform integrating AI features for showcasing and shopping experience personalization<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>The selection criterion shouldn&#8217;t be the tool&#8217;s technical sophistication, but its ability to integrate into existing workflows and produce measurable results quickly. This is what we advocate at WISHIBAM: AI in service of commerce, not the other way around.<\/p>\n<h2 class=\"wish-h2\">Generative AI Applications in Commerce<\/h2>\n<h3 class=\"wish-h3\">Using AI to Create Visuals<\/h3>\n<section class=\"wish-card\">\n<p>Let&#8217;s talk money. A standard product photo shoot for a 50-item collection costs on average between \u20ac5,000 and \u20ac20,000, depending on staging complexity, number of models, studio rentals, and retouching. Add to that the delays\u2014often 4 to 8 weeks between briefing and final visual delivery\u2014and you understand why using AI to create visuals is reshaping retail brand marketing departments.<\/p>\n<\/section>\n<p>Concretely, here&#8217;s what AI image generation tools enable today:<\/p>\n<ul>\n<li>Generate lifestyle visuals for existing products (sofas, clothing in diverse settings)<\/li>\n<li>Create new color variations of a product without physical production<\/li>\n<li>Produce seasonal campaign visuals in hours<\/li>\n<li>Adapt visuals to different ad formats (social, display, print)<\/li>\n<li>Create visual atmospheres consistent with the brand<\/li>\n<\/ul>\n<p>Notably, retailers like Zalando, H&#038;M, or IKEA have already integrated these practices at scale. IKEA announced in 2023 the use of generative AI to produce a part of its catalog visuals, freeing up its photographers for higher value-added creative projects.<\/p>\n<p>AI also allows testing visual concepts before investing in production\u201420 campaign variations in one morning, panel-tested, and only producing what proves effective. That&#8217;s a revolution for creative risk management.<\/p>\n<blockquote><p>\nResult quality remains highly dependent on instruction precision and tool mastery. Limitations persist\u2014especially for unique products or consistent hands\/faces\u2014but these are rapidly receding.\n<\/p><\/blockquote>\n<h3 class=\"wish-h3\">AI Image Creation<\/h3>\n<p>AI image creation is probably the most visible and immediately impactful application for retail teams.<\/p>\n<p>The process: describe, in natural language, exactly what you want\u2014the subject, style, mood, colors, framing\u2014and the model generates corresponding images. The more precise your description, the closer the result to your vision.<\/p>\n<section class=\"wish-card\">\n<p><strong>Example prompt:<\/strong> &#8220;Lifestyle photograph of a cognac brown leather jacket, worn by a 35-year-old woman, on a Haussmannian Parisian street, golden late afternoon light, editorial style, high resolution.&#8221;<\/p>\n<p>In seconds, several proposals are generated. Some will be usable, others need adjustment.<\/p>\n<\/section>\n<table>\n<tr>\n<th>Tool<\/th>\n<th>Strengths<\/th>\n<th>Ideal For<\/th>\n<\/tr>\n<tr>\n<td>Midjourney<\/td>\n<td>Aesthetic quality, artistic style<\/td>\n<td>Brand campaigns, lookbooks<\/td>\n<\/tr>\n<tr>\n<td>DALL-E 3<\/td>\n<td>Instruction precision, accessibility<\/td>\n<td>Product sheets, e-commerce visuals<\/td>\n<\/tr>\n<tr>\n<td>Adobe Firefly<\/td>\n<td>Creative Cloud integration, clear usage rights<\/td>\n<td>Existing design teams<\/td>\n<\/tr>\n<tr>\n<td>Stable Diffusion<\/td>\n<td>Customizable, open source<\/td>\n<td>Custom projects, high volume<\/td>\n<\/tr>\n<tr>\n<td>Runway<\/td>\n<td>Video and image generation<\/td>\n<td>Animated content, social media<\/td>\n<\/tr>\n<\/table>\n<p><strong>Are these images royalty-free?<\/strong> Mostly yes, but conditions vary. Adobe Firefly trains only on royalty-free content, making it safer for large retailers.<\/p>\n<h3 class=\"wish-h3\">Generative AI&#8217;s Impact on Commerce<\/h3>\n<p>Generative AI&#8217;s impact goes far beyond visuals. It transforms the structure of retail organizations and their ability to satisfy ever-more demanding consumers in terms of personalization and speed.<\/p>\n<ul>\n<li>By 2026, over 80% of companies will have used generative AI in production (Gartner)<\/li>\n<li>Retailers using generative AI for content creation reduced production timelines by 60\u201370% (BCG, 2024)<\/li>\n<li>51% of consumers now expect personalized experiences (Salesforce)<\/li>\n<\/ul>\n<p>The real revolution: true mass personalization at a marginal cost approaching zero\u2014emails and offers tailored to each customer&#8217;s profile, history, aspirations. Science fiction yesterday, operational today.<\/p>\n<p>Beyond the front end, generative AI drives more precise demand forecasting, stock-out scenario simulation, and assortment optimization. The boundaries between AI families are blurring on the most innovative commerce platforms.<\/p>\n<blockquote><p>\nAt WISHIBAM, the best results come from integrating generative AI into a holistic digital transformation vision\u2014not using it as a one-off gimmick.\n<\/p><\/blockquote>\n<h2 class=\"wish-h2\">Maximizing Sales with Generative AI<\/h2>\n<h3 class=\"wish-h3\">France AI That Generates Images: The Local Ecosystem to Know<\/h3>\n<p>American giants dominate the discussion\u2014OpenAI, Adobe, Google\u2014but France has a strong AI ecosystem, with some solutions uniquely suited to EU retailers: proximity, GDPR compliance, and French-language support.<\/p>\n<ul>\n<li><strong>Mistral AI<\/strong>\u2014leading French LLMs, used widely for text apps<\/li>\n<li><strong>Photoroom<\/strong>\u2014auto-staging &#038; background removal for e-commerce product images<\/li>\n<li><strong>Skeepers<\/strong>\u2014AI features for customer reviews and UGC<\/li>\n<li><strong>Contentsquare<\/strong>\u2014behavior analytics for optimizing journeys<\/li>\n<\/ul>\n<p>Photoroom, founded in Paris, is especially popular for turning basic product photos into pro-level visuals (background removal, auto-generating context, format adaptations). Thousands of French merchants use it for affordable, high-quality imagery.<\/p>\n<p>France is heavily investing in AI, with \u20ac1 billion committed in 2024, focusing on industrial and commercial uses. French retailers should embrace this homegrown ecosystem.<\/p>\n<h3 class=\"wish-h3\">What Is the Best AI Image Generator<\/h3>\n<p>The frequent question: &#8220;Which AI image generator is best?&#8221; The answer is: it depends\u2014on your needs, context, and workflow.<\/p>\n<p><strong>Recommendations for 2024:<\/strong><\/p>\n<ul>\n<li>Midjourney: best for creative, stylish campaign visuals<\/li>\n<li>Adobe Firefly: safest for legal\/IP concerns, seamless with Adobe suite<\/li>\n<li>DALL-E 3: accessible, precise, ideal for e-commerce sheets<\/li>\n<li>Photoroom: high-volume e-commerce product visuals, especially in France<\/li>\n<\/ul>\n<p><strong>Key selection criteria:<\/strong><\/p>\n<ul>\n<li>Production volume: 10 or 10,000 images per month?<\/li>\n<li>Customization: do you need strict brand adherence?<\/li>\n<li>Technical integration: connect with your PIM, CMS, or commerce platform?<\/li>\n<li>Legal\/IP security: copyright exposure?<\/li>\n<li>Team skill: designer\/tech comfort, or need for simplicity?<\/li>\n<\/ul>\n<p>Brand consistency is crucial. &#8220;Generic&#8221; AI art generators may not adhere to your brand style. Most advanced providers now support fine-tuning\u2014training models on your own visuals for tailored results.<\/p>\n<section class=\"wish-card\">\n<p>To start, choose DALL-E 3 (ChatGPT) for non-technical teams, Adobe Firefly if already on Creative Cloud, and Midjourney for creative experiments.<\/p>\n<\/section>\n<h3 class=\"wish-h3\">Where to Find an AI Image Generator<\/h3>\n<p>Most AI image generators are directly available online, with free or affordable entry options.<\/p>\n<ul>\n<li>Midjourney: Discord access (<a href=\"https:\/\/midjourney.com\">midjourney.com<\/a>) \u2014 from $10\/month<\/li>\n<li>DALL-E 3: Via ChatGPT Plus (<a href=\"https:\/\/chat.openai.com\">chat.openai.com<\/a>) \u2014 $20\/month<\/li>\n<li>Adobe Firefly: <a href=\"https:\/\/firefly.adobe.com\">firefly.adobe.com<\/a> \u2014 free tier or with Creative Cloud<\/li>\n<li>Stable Diffusion: <a href=\"https:\/\/stability.ai\">DreamStudio<\/a> or local install<\/li>\n<li>Photoroom: <a href=\"https:\/\/photoroom.com\">photoroom.com<\/a> \u2014 freemium, pro from \u20ac9.99\/month<\/li>\n<li>Runway: <a href=\"https:\/\/runwayml.com\">runwayml.com<\/a> \u2014 trial + from $12\/month<\/li>\n<\/ul>\n<p><strong>Tip:<\/strong> Test free versions or trials first; all tools have a flavor, and what works best is often discovered in context.<\/p>\n<h2 class=\"wish-h2\">The 7 Secrets to Boosting Your Sales<\/h2>\n<h3 class=\"wish-h3\">Secret #1: Hyper-Personalize the Customer Experience at Scale<\/h3>\n<p>Advanced retailers use generative AI to personalize every touchpoint\u2014moving from segmentation to true individualization.<\/p>\n<ul>\n<li>Personalized product descriptions based on browsing history<\/li>\n<li>Unique email campaigns for each segment, tailored by preference<\/li>\n<li>Adaptive homepage imagery matching visitor profile<\/li>\n<li>AI-powered personal recommendations, with contextual copy<\/li>\n<\/ul>\n<p><strong>Example:<\/strong> A fashion client at WISHIBAM creates three versions of each product description: for price-shoppers, for quality-seekers, and for trend followers. AI displays the right one per customer profile\u2014raising page conversion rates by 23%.<\/p>\n<p>The key is strategic intent: know what, for whom, and why you personalize\u2014the AI is the means, not the strategy.<\/p>\n<h3 class=\"wish-h3\">Secret #2: Accelerate Content Production Tenfold<\/h3>\n<p>AI multiplies content output\u2014without multiplying teams or budgets.<\/p>\n<ul>\n<li>Product descriptions<\/li>\n<li>Category pages &#038; buying guides<\/li>\n<li>Blog, social, ads copy<\/li>\n<li>Email &#038; campaign variations<\/li>\n<\/ul>\n<p><strong>Case:<\/strong> A home goods retailer produced 500 new product descriptions in two days (versus two weeks humanly possible). Clear templates, precise prompts, and final human review keep quality high and save 70% in time.<\/p>\n<h3 class=\"wish-h3\">Secret #3: Test and Iterate at Lightning Speed<\/h3>\n<p>Generative AI allows infinite creative A\/B testing\u2014at vanishing cost.<\/p>\n<ul>\n<li>Generate 20 ad visuals in a morning, test on micro-budgets<\/li>\n<li>Identify data-proven winners before full spend<\/li>\n<li>Apply the same to emails, titles, social posts\u2014let data, not gut, decide<\/li>\n<\/ul>\n<p><strong>Example:<\/strong> A sports brand launched a shoe campaign: 30 visuals made in a day, tested via Facebook ads, and professionalized only the top 3. ROI rose by 40%.<\/p>\n<h3 class=\"wish-h3\">Secret #4: Optimize the Product Catalog in Real Time<\/h3>\n<p>AI enables dynamic, ongoing catalog improvement.<\/p>\n<ul>\n<li>Analyze weekly conversion rates<\/li>\n<li>Trigger alerts for underperformers<\/li>\n<li>Auto-suggest new descriptions, visuals, or positioning<\/li>\n<\/ul>\n<p><strong>Result:<\/strong> An outdoor retailer&#8217;s conversion lifted 18% with weekly AI-guided optimizations. Coupling AI generation with clear analytics is the winning formula.<\/p>\n<h3 class=\"wish-h3\">Secret #5: Reduce Returns Through Better Product Presentation<\/h3>\n<p>Returns hurt profits and the environment. Many stem from misaligned expectations created by poor product pages.<\/p>\n<p>AI can generate contextual, realistic visuals: products in varied settings, worn by diverse models, in real-life situations. Better visualization means better decisions\u2014and fewer returns.<\/p>\n<p><strong>Case:<\/strong> A furniture retailer cut return rates by 15% by offering three interior staging options per product.<\/p>\n<h3 class=\"wish-h3\">Secret #6: Automate Customer Support While Improving Quality<\/h3>\n<p>Conversational AI handles routine questions, providing ultra-fast personalized support.<\/p>\n<ul>\n<li>Order tracking<\/li>\n<li>Sizing advice<\/li>\n<li>Product availability<\/li>\n<li>Returns &#038; exchanges<\/li>\n<\/ul>\n<p><strong>Impact:<\/strong> A fashion merchant&#8217;s chatbot handled 70% of tickets unaided, cut average response time from 4 hours to 30 seconds, and raised satisfaction by 12%\u2014freeing human agents for complex issues.<\/p>\n<h3 class=\"wish-h3\">Secret #7: Transform Data into Actionable Strategic Insights<\/h3>\n<p>AI goes beyond content\u2014it converts massive, messy commerce data (transactions, browsing, feedback, returns) into strategic insights invisible to humans alone.<\/p>\n<section class=\"wish-card\">\n<p>Every retailer sits on a goldmine of untapped data. Generative AI surfaces patterns, identifies new opportunity segments, detects early warning signs (like rising returns or decreasing conversion for a segment) before they become major issues.<\/p>\n<\/section>\n<p>In short: retailers who combine human creativity, customer empathy, and generative AI execution not only survive\u2014but lead the transformation underway in commerce. The best time to start was yesterday. The second best is now.<\/p>\n<h2 class=\"wish-h2\">FAQ \u2013 Generative AI for Retail<\/h2>\n<details class=\"wish-faq\">\n<summary>Does generative AI replace creative teams?<\/summary>\n<p>No\u2014AI is a multiplier, not a replacement. It automates repetitive and time-intensive tasks, freeing your creative teams to focus on complex, high-value work like strategy, branding, and customer relationship building.<\/p>\n<\/details>\n<details class=\"wish-faq\">\n<summary>Are AI-generated images legally safe for my brand?<\/summary>\n<p>Most major platforms grant commercial rights on outputs, but check their licensing terms. For maximum safety, use providers like Adobe Firefly, which trains only on royalty-free libraries.<\/p>\n<\/details>\n<details class=\"wish-faq\">\n<summary>Do I need tech expertise to use AI in retail?<\/summary>\n<p>No! Platforms like WISHIBAM, DALL-E (via ChatGPT), and Photoroom are built for non-technical users. Focus on clear instructions and iterate\u2014results improve rapidly.<\/p>\n<\/details>\n<details class=\"wish-faq\">\n<summary>What are quick wins for retailers new to AI?<\/summary>\n<p>Start with product descriptions, seasonal campaign visuals, and fast A\/B testing of creative assets. Results are measurable and ROI arrives quickly.<\/p>\n<\/details>\n<details class=\"wish-faq\">\n<summary>How do I keep my brand&#8217;s style with AI generation?<\/summary>\n<p>Choose solutions that allow model fine-tuning or branded prompts. Always validate and tweak outputs to ensure brand consistency.<\/p>\n<\/details>\n<\/article>","protected":false},"excerpt":{"rendered":"<p>The 7 Secrets to Skyrocket Your Sales with Generative AI By Charlotte Journo-Baur, Founder of WISHIBAM A few months ago,&#8230;<\/p>","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[69,71],"tags":[84,87,85],"class_list":["post-83270","post","type-post","status-publish","format-standard","hentry","category-articles","category-documentation","tag-consommation","tag-retail","tag-tech"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO 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