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images in online shops: when the labelling duty applies","benedikt-rillox",{"type":260,"value":261,"toc":884},"minimark",[262,271,278,287,292,299,310,313,317,320,327,333,336,391,398,401,405,408,417,420,426,445,452,456,459,464,467,473,477,480,495,501,505,508,515,520,524,527,537,541,544,567,570,573,604,611,622,626,629,643,650,653,660,664,670,677,680,684,691,694,732,735,744,748,751,755,759,762,794,809,813,858,862],[263,264,265,266,270],"p",{},"Since ",[267,268,269],"strong",{},"2 August 2026",", Article 50 of the AI Act has applied — the\ntransparency obligation for AI-generated content. Ever since, we have been\ngetting the same question in shop projects: \"We have product and lifestyle\nimages generated with AI. Do we now have to label all of them?\"",[263,272,273,274,277],{},"The answer is neither yes nor no, and it does not hinge on whether AI was\ninvolved. It hinges on a single definition — that of a ",[267,275,276],{},"deep fake",". And\ncontrary to what the term suggests, that definition covers not only people\nbut explicitly also objects and places.",[279,280,281],"blockquote",{},[263,282,283,286],{},[267,284,285],{},"This article is expressly not legal advice."," It sorts the obligations\nfrom a technical and practical point of view — no more than that. We are a\nShopware agency, not a law firm, and we may not and do not want to give\nlegal advice on individual cases. Whether a specific image falls under the\nobligation is, in borderline cases, a judgement call that belongs with a\nlawyer. What we can deliver is the groundwork: which images are candidates\nat all, and what the labelling looks like technically.",[288,289,291],"h2",{"id":290},"first-of-all-this-obligation-was-not-postponed","First of all: this obligation was not postponed",[263,293,294,295,298],{},"A widespread misconception that has persisted since the summer. The ",[267,296,297],{},"Digital\nOmnibus"," — Regulation (EU) 2026\u002F1744, published in the Official Journal on\n24 July 2026 — did indeed move deadlines in the AI Act. Just not this one.",[263,300,301,302,305,306,309],{},"What moved were the obligations for ",[267,303,304],{},"high-risk systems",": systems under\nAnnex III now apply from 2 December 2027, AI in regulated products under\nAnnex I from 2 August 2028. Prohibited practices, AI literacy, the\nobligations for general-purpose AI models and ",[267,307,308],{},"the Article 50 transparency\nobligations keep their dates",".",[263,311,312],{},"So anyone who heard \"the AI Act has been postponed\" and concluded that image\nlabelling can wait is mistaken. For online shops, Article 50 is in any case\nthe only part of the regulation that applies routinely in day-to-day\noperations — a shop does not normally operate high-risk systems.",[288,314,316],{"id":315},"provider-or-deployer-the-role-determines-the-duty","Provider or deployer? The role determines the duty",[263,318,319],{},"Article 50 assigns two different obligations to two different roles. Confuse\nthem and you either build too much or too little.",[263,321,322,323,326],{},"A ",[267,324,325],{},"provider",", under Article 3(3), is whoever develops an AI system or has\none developed and places it on the market under their own name or trademark.\nThat is the image generator — not the shop.",[263,328,322,329,332],{},[267,330,331],{},"deployer",", under Article 3(4), is whoever uses an AI system under their\nown authority, outside a purely personal activity. That is the shop.",[263,334,335],{},"From which the division of labour follows:",[337,338,339,354],"table",{},[340,341,342],"thead",{},[343,344,345,348,351],"tr",{},[346,347],"th",{},[346,349,350],{},"Who it applies to",[346,352,353],{},"What has to be done",[355,356,357,375],"tbody",{},[343,358,359,365,368],{},[360,361,362],"td",{},[267,363,364],{},"Art. 50(2)",[360,366,367],{},"Provider of the AI tool",[360,369,370,371,374],{},"Mark outputs in a ",[267,372,373],{},"machine-readable"," format so they are detectable as artificially generated — watermarks, metadata, fingerprints",[343,376,377,382,385],{},[360,378,379],{},[267,380,381],{},"Art. 50(4)",[360,383,384],{},"Deployer, i.e. the shop",[360,386,387,390],{},[267,388,389],{},"Disclose"," that the content has been artificially generated or manipulated, where it constitutes a deep fake",[263,392,393,394,397],{},"For the shop this means: the machine-readable marking in the metadata is\n",[267,395,396],{},"not your job",". You do not have to embed watermarks or produce C2PA\nsignatures. Your duty is the visible disclosure to the person looking at the\nimage — and only where that image is a deep fake.",[263,399,400],{},"One caveat: anyone who integrates an image generator into their shop under\ntheir own name and offers it to customers — a product configurator that\ngenerates visualisations, say — can slip into the provider role. That is the\ncase where the question belongs with a lawyer.",[288,402,404],{"id":403},"the-real-question-is-your-image-a-deep-fake","The real question: is your image a deep fake?",[263,406,407],{},"This is the point most articles on the topic skip. Article 50(4) does not\noblige deployers to label every AI image. It obliges them to disclose deep\nfakes. And \"deep fake\" is defined in Article 3(60) as",[279,409,410],{},[263,411,412,413,416],{},"AI-generated or manipulated image, audio or video content that resembles\nexisting ",[267,414,415],{},"persons, objects, places",", entities or events and would falsely\nappear to a person to be authentic or truthful.",[263,418,419],{},"Two things about that are decisive for shops.",[263,421,422,425],{},[267,423,424],{},"First: \"objects\" and \"places\" are explicitly in there."," The colloquial\nnotion that a deep fake is a faked video of a person is misleading here. A\nphotorealistic AI image of a sideboard that genuinely exists falls under the\ndefinition just as much as an AI face does.",[263,427,428,431,432,436,437,440,441,444],{},[267,429,430],{},"Second: it is a two-stage test, and both stages have to be met."," The image\nmust ",[433,434,435],"em",{},"resemble"," something existing ",[267,438,439],{},"and"," falsely ",[433,442,443],{},"appear"," authentic. An\nobviously stylised illustration fails the second stage — it never pretends to\nbe a photograph. An image of a product that does not exist fails the first.",[263,446,447,448,451],{},"From this you can build a usable test question that works without legal\ntraining: ",[267,449,450],{},"would an average visitor take this image for a real\nphotograph?"," If yes, and if what is depicted really exists, labelling is the\nsafe route.",[288,453,455],{"id":454},"four-image-types-from-everyday-shop-work-sorted-one-by-one","Four image types from everyday shop work, sorted one by one",[263,457,458],{},"The abstract definition helps little until it is attached to the images that\nare actually sitting in the media pool. Four cases cover most shops.",[460,461,463],"h3",{"id":462},"_1-photorealistic-ai-product-image-of-a-real-product","1. Photorealistic AI product image of a real product",[263,465,466],{},"The product exists, the image looks like a studio shot, and it came out of an\nimage generator. Both stages of the test are met: it resembles an existing\nobject and appears to be a real photograph.",[263,468,469,472],{},[267,470,471],{},"Verdict: label it."," This is the clearest case and at the same time the\nriskiest — because unfair-competition law applies on top (more on that\nbelow).",[460,474,476],{"id":475},"_2-ai-post-processing-of-a-real-photo","2. AI post-processing of a real photo",[263,478,479],{},"Cut-out, background removed, dust retouched, colour cast corrected, image\nupscaled. The basis is a real shot of the real product, and the AI has edited\nit.",[263,481,482,483,486,487,490,491,494],{},"Article 50(2) expressly excludes systems that perform ",[267,484,485],{},"an assistive function\nfor standard editing"," or that do ",[267,488,489],{},"not substantially alter"," the input data\nor its semantics. That logic also carries the assessment on the deployer\nside: where nothing substantial was altered, no content arises that falsely\nappears authentic — it ",[433,492,493],{},"is"," authentic, just cleaner.",[263,496,497,500],{},[267,498,499],{},"Verdict: as a rule, no labelling."," The line runs where the editing changes\nthe statement being made about the product. A removed speck of dust is\nstandard editing. A wood grain added afterwards that the actual piece of\nfurniture does not have is not.",[460,502,504],{"id":503},"_3-lifestyle-or-mood-image-with-ai-generated-people","3. Lifestyle or mood image with AI-generated people",[263,506,507],{},"The sofa stands in a living room that does not exist, and on it sits a person\nwho does not exist, both photorealistic.",[263,509,510,511,514],{},"Here it gets more nuanced. The person does not exist, so resembles no\nexisting person. The ",[267,512,513],{},"product"," depicted, however, does exist, and the scene\nas a whole appears to be a real photograph.",[263,516,517,519],{},[267,518,471],{}," We consider this the safe route, because the product —\nthe part of the image that drives the purchase decision — is real and the\nimage passes as a photograph. On top of that, photorealistic people in\nadvertising touch on further questions depending on the execution, from\npersonality rights to unfair-competition law.",[460,521,523],{"id":522},"_4-obviously-illustrative-graphics","4. Obviously illustrative graphics",[263,525,526],{},"Icon sets, explanatory diagrams, stylised scenes, comic looks. Nobody takes\nthese for a photograph.",[263,528,529,532,533,536],{},[267,530,531],{},"Verdict: no labelling under Art. 50(4)."," The second stage of the test is\nnot met. In addition, Article 50(4) provides an exception for evidently\n",[267,534,535],{},"artistic, creative, satirical or fictional works",", where it is enough to\ndisclose the existence of such content in an appropriate manner — for shop\nillustrations that is usually not even needed, because they already fail the\ndeep fake test.",[288,538,540],{"id":539},"how-to-label-and-where-the-notice-has-to-sit","How to label — and where the notice has to sit",[263,542,543],{},"Article 50(5) makes three requirements that belong together. The information\nmust be",[545,546,547,554,561],"ul",{},[548,549,550,553],"li",{},[267,551,552],{},"clear and distinguishable",",",[548,555,556,557,560],{},"provided ",[267,558,559],{},"at the latest at the time of the first exposure",", and",[548,562,563,564,309],{},"conform to the applicable ",[267,565,566],{},"accessibility requirements",[263,568,569],{},"\"At the latest at the first exposure\" is the requirement with the most\npractical consequences. It rules out the most convenient solution: a sentence\nin the legal notices or the footer stating in general terms that AI is used\non the site. Whoever sees the image has to see the notice at the same moment\n— so at the image, not three clicks away.",[263,571,572],{},"For implementation that means:",[545,574,575,581,587,598],{},[548,576,577,580],{},[267,578,579],{},"At or immediately beside the image."," A caption, a badge in the corner of\nthe image, or a line under the gallery. Not in the imprint, not in the\nterms and conditions.",[548,582,583,586],{},[267,584,585],{},"In overview views too."," If the AI image appears as a thumbnail in a\nlisting, in search or in a teaser, that is the first exposure — not the\nproduct detail page.",[548,588,589,592,593,597],{},[267,590,591],{},"Accessible."," The notice has to be available to screen reader users as\nwell. A burned-in pixel badge alone does not achieve that; the notice\nbelongs in the text flow or the alt attribute in addition. For B2C shops\nthe ",[594,595,596],"a",{"href":117},"European Accessibility Act","\nalready applies here anyway.",[548,599,600,603],{},[267,601,602],{},"Not in the alt text alone."," The alt attribute does not reach sighted\nusers. It supplements visible labelling, it does not replace it.",[263,605,606,607,610],{},"The regulation prescribes no wording — there is no mandated label as there is\nfor the ",[594,608,609],{"href":132},"warranty notice",". Common and\nsufficiently clear are variants such as \"AI-generated image\", \"Created with\nAI\" or \"Illustrative image, AI-generated\".",[263,612,613,614,617,618,621],{},"On 20 July 2026 the Commission published ",[267,615,616],{},"guidelines on Article 50",", and on\n10 June 2026 a ",[267,619,620],{},"Code of Practice on Transparency of AI-generated Content",".\nIts Section 2 addresses deployers and describes the labelling of deep fakes.\nSigning is voluntary, and the Article 50 obligation exists regardless — the\npractical value lies elsewhere: those who follow the code can evidence\ncompliance through it. Those who do not have to demonstrate to market\nsurveillance that their own approach is equivalently adequate.",[288,623,625],{"id":624},"the-underrated-part-labelling-does-not-cure-misleading-content","The underrated part: labelling does not cure misleading content",[263,627,628],{},"The AI Act governs transparency. It says nothing about whether an image has\nto be accurate. That question is answered by unfair-competition law — and it\nwas answered long before the AI Act.",[263,630,631,632,635,636,639,640,309],{},"Under ",[267,633,634],{},"Section 5 UWG",", it is unfair to engage in a misleading commercial\npractice capable of causing a commercial decision that would not otherwise\nhave been taken. Misleading includes an untrue or deceptive statement about\nthe ",[267,637,638],{},"essential characteristics of the goods",", expressly including their\n",[267,641,642],{},"condition and quality",[263,644,645,646,649],{},"A product image is a statement about condition. If the AI image shows a wood\ngrain, a colour, a finish quality or a detail of what is included that the\ndelivered product does not have, that is misleading — ",[267,647,648],{},"even with\n\"AI-generated\" printed underneath",". The notice explains how the image came\nabout, not how it diverges from the product.",[263,651,652],{},"In our view that is the greater everyday risk, for a simple reason: market\nsurveillance for the AI Act is only now being built up. Competition\nassociations, trade bodies and competitors have been issuing warning letters\nfor years. For most shops the route to trouble runs through Section 5 UWG,\nnot through Article 50 — and there no label helps, only an image that is\naccurate.",[263,654,655,656,659],{},"The practical consequence: ",[267,657,658],{},"the closer the image sits to the\npurchase-deciding detail, the less generative AI is suitable."," For mood\nimages, category banners and backgrounds it is unproblematic. For depicting\nthe specific article the customer receives, a real photograph is not only\nlegally safer but the better product.",[288,661,663],{"id":662},"what-happens-in-case-of-a-breach","What happens in case of a breach",[263,665,666,667,309],{},"Article 99(4)(g) names the Article 50 transparency obligations explicitly.\nThe range is ",[267,668,669],{},"up to EUR 15 million or 3 % of total worldwide annual turnover\nfor the preceding financial year, whichever is higher",[263,671,672,673,676],{},"For small and medium-sized enterprises including start-ups, Article 99(6)\nreverses that: there the ",[267,674,675],{},"lower"," of the two values applies. That\nconsiderably defuses the headline for smaller companies, but changes nothing\nabout the obligation itself.",[263,678,679],{},"Realistically, for an average shop the issue is not the multi-million fine\nanyway, but the combination of a warning letter, a cease-and-desist\ndeclaration and the rework on a media pool grown over years in which nobody\nknows any more which image came about how.",[288,681,683],{"id":682},"implementation-in-shopware-6","Implementation in Shopware 6",[263,685,686,687,690],{},"The actual problem is rarely displaying the notice. It is the question of\n",[267,688,689],{},"which of the 12,000 images in the media pool are AI-generated in the first\nplace",". Whoever cannot answer that cannot label — and cannot evidence having\ndone it right either.",[263,692,693],{},"So implementation starts with the data, not in the theme:",[695,696,697,708,714,720,726],"ol",{},[548,698,699,702,703,707],{},[267,700,701],{},"Record provenance on the medium."," A dedicated field on the media entity\n(a custom field, say ",[704,705,706],"code",{},"ai_generated"," with the values \"photo\" \u002F\n\"AI-generated\" \u002F \"AI-edited\"). That is the basis for everything else and\nthe only part that cannot be guessed retroactively.",[548,709,710,713],{},[267,711,712],{},"Anchor it in the intake process."," Every new image gets the attribute\nbefore it enters the pool — whether from the photo production, from the\nsupplier or from the generator. For supplier images the question belongs\nin the onboarding questionnaire, because provenance is not controllable\nthere.",[548,715,716,719],{},[267,717,718],{},"Output in the theme."," A small component that renders the notice when\nthe field is set — in the product gallery, in the listing thumbnail and in\nShopping Experiences elements. Built once, it applies everywhere.",[548,721,722,725],{},[267,723,724],{},"Work through the back catalogue."," For legacy stock, a pragmatic cut\nhelps: review images from the point in time AI was in use; mark older\nphoto productions as photos. Metadata from some generators (C2PA\nmanifests) helps with the assignment but is patchy, because it is often\nlost in further processing.",[548,727,728,731],{},[267,729,730],{},"Document it."," A short internal note on the rule you classify by and\nwhy. That is the part that counts if it ever matters — towards market\nsurveillance as much as towards a warning letter.",[263,733,734],{},"Almost all of the effort sits in steps 1, 2 and 4. Step 3 is an afternoon.",[736,737,741],"faq-section",{":items":738,"background":739,"label":740},"[{\"question\":\"Do all AI-generated images in an online shop have to be labelled?\",\"answer\":\"No. The obligation under Article 50(4) of the AI Act applies to deployers only for deep fakes. What matters is whether the image resembles something that exists and would falsely appear to be a real photograph. Photorealistic product and lifestyle images usually meet that test, obviously stylised illustrations do not.\"},{\"question\":\"Does an AI product image count as a deep fake even without a person in it?\",\"answer\":\"Yes, quite possibly. The definition in Article 3(60) names not only persons but also objects, places, entities and events. A photorealistic image of a product that really exists and looks like a genuine photograph therefore falls under the definition, even though no person appears anywhere in it.\"},{\"question\":\"Does a shop have to add watermarks or metadata to AI images?\",\"answer\":\"No. That machine-readable marking is the job of the provider of the AI tool under Article 50(2), meaning the image generator. The shop is a deployer and owes the visible disclosure to humans. Anyone offering a generator under their own name can additionally end up in the provider role.\"},{\"question\":\"Where does the notice about an AI image have to appear?\",\"answer\":\"At the image itself or immediately beside it. Article 50(5) requires the information to be clear, distinguishable and provided at the latest at the time of first exposure. A blanket sentence in the footer or the legal notices is therefore not enough. If the image appears in a listing, the notice belongs there too.\"},{\"question\":\"Is labelling enough if the AI image differs from the real product?\",\"answer\":\"No. The AI Act governs transparency about how content came about, not its factual accuracy. If an image shows features the delivered product does not have, that remains a misleading statement about its condition under Section 5 UWG — regardless of whether an AI notice sits underneath it.\"}]","default","FAQ",[263,742,743],{},"Common questions about labelling AI images in online shops.",[288,745,747],{"id":746},"the-full-picture-compliance-202627-in-the-whitepaper","The full picture: Compliance 2026\u002F27 in the whitepaper",[263,749,750],{},"The AI transparency obligation is one of nine rules now hitting online shops\nbetween 2026 and 2027 — and it is the only one that does not come from\nclassic e-commerce law, which is why it is missing from so many project\nplans.",[752,753],"whitepaper-teaser",{"slug":754},"e-commerce-compliance-2026-27",[288,756,758],{"id":757},"checklist","Checklist",[263,760,761],{},"Five points you can work through without a legal department:",[695,763,764,770,776,782,788],{},[548,765,766,769],{},[267,767,768],{},"Inventory:"," which images in the shop are AI-generated, AI-edited or\nreal photographs? If nobody can answer that, that is the first finding.",[548,771,772,775],{},[267,773,774],{},"Classification:"," run the two stages per image type — does it resemble\nsomething existing, and would it be taken for a real photograph?",[548,777,778,781],{},[267,779,780],{},"Provenance field:"," add a field to the media entity and make it binding\nin the image workflow, supplier images included.",[548,783,784,787],{},[267,785,786],{},"Output:"," notice at the image, in the gallery and in the listing —\nvisible and accessible, not only in the alt text.",[548,789,790,793],{},[267,791,792],{},"The UWG test:"," does the image show the product as it will be delivered?\nIf not, no label helps — then you need a different image.",[263,795,796,797,800,801,804,805,808],{},"If you would rather not work through this on the side: we do the inventory\nanalysis and the technical implementation in Shopware as part of\n",[594,798,799],{"href":90},"consulting"," or directly in\n",[594,802,803],{"href":93},"development",". ",[594,806,807],{"href":30},"Get in touch"," — a\nconversation with the people who also build it.",[288,810,812],{"id":811},"sources-and-further-reading","Sources and further reading",[545,814,815,823,830,837,844,851],{},[548,816,817],{},[594,818,822],{"href":819,"rel":820},"https:\u002F\u002Fai-act-service-desk.ec.europa.eu\u002Fen\u002Fai-act\u002Farticle-50",[821],"nofollow","AI Act (EU) 2024\u002F1689, Article 50 — Transparency obligations",[548,824,825],{},[594,826,829],{"href":827,"rel":828},"https:\u002F\u002Fai-act-service-desk.ec.europa.eu\u002Fen\u002Fai-act\u002Farticle-3",[821],"AI Act (EU) 2024\u002F1689, Article 3 — Definitions (No 60 deep fake)",[548,831,832],{},[594,833,836],{"href":834,"rel":835},"https:\u002F\u002Fai-act-service-desk.ec.europa.eu\u002Fen\u002Fai-act\u002Farticle-99",[821],"AI Act (EU) 2024\u002F1689, Article 99 — Penalties",[548,838,839],{},[594,840,843],{"href":841,"rel":842},"https:\u002F\u002Fdigital-strategy.ec.europa.eu\u002Fen\u002Fpolicies\u002Fguidelines-ai-transparency-obligations",[821],"European Commission: Guidelines on transparency obligations under Article 50",[548,845,846],{},[594,847,850],{"href":848,"rel":849},"https:\u002F\u002Fdigital-strategy.ec.europa.eu\u002Fen\u002Fpolicies\u002Fcode-practice-ai-generated-content",[821],"European Commission: Code of Practice on Transparency of AI-generated Content",[548,852,853],{},[594,854,857],{"href":855,"rel":856},"https:\u002F\u002Fwww.gesetze-im-internet.de\u002Fuwg_2004\u002F__5.html",[821],"Section 5 UWG — misleading commercial practices",[288,859,861],{"id":860},"keep-reading","Keep reading",[545,863,864,869,874,879],{},[548,865,866],{},[594,867,868],{"href":117},"E-commerce deadlines 2026\u002F27: every date at a glance",[548,870,871],{},[594,872,873],{"href":132},"Warranty label 2026: the EmpCo duty and Shopware 6 implementation",[548,875,876],{},[594,877,878],{"href":141},"AI in software development: what agency size has to do with it",[548,880,881],{},[594,882,883],{"href":90},"Consulting: decisions on a data basis",{"title":885,"searchDepth":886,"depth":886,"links":887},"",2,[888,889,890,891,898,899,900,901,902,903,904,905],{"id":290,"depth":886,"text":291},{"id":315,"depth":886,"text":316},{"id":403,"depth":886,"text":404},{"id":454,"depth":886,"text":455,"children":892},[893,895,896,897],{"id":462,"depth":894,"text":463},3,{"id":475,"depth":894,"text":476},{"id":503,"depth":894,"text":504},{"id":522,"depth":894,"text":523},{"id":539,"depth":886,"text":540},{"id":624,"depth":886,"text":625},{"id":662,"depth":886,"text":663},{"id":682,"depth":886,"text":683},{"id":746,"depth":886,"text":747},{"id":757,"depth":886,"text":758},{"id":811,"depth":886,"text":812},{"id":860,"depth":886,"text":861},[907,909,910,911,912,913],{"name":908,"url":819},"AI Act (EU) 2024\u002F1689, Article 50 — Transparency obligations for providers and deployers of certain AI systems",{"name":829,"url":827},{"name":836,"url":834},{"name":843,"url":841},{"name":850,"url":848},{"name":914,"url":855},"Section 5 UWG (German Act Against Unfair Competition) — misleading commercial practices","Article 50 of the AI Act has applied since 2 August 2026. What matters for shops is not whether an image was made with AI, but whether it counts as a deepfake — and that definition covers products too.",false,"md",{"src":919,"alt":920},"\u002Fimages\u002Finsights\u002Fki-bilder-kennzeichnungspflicht-onlineshop.png","Benedikt Rillox sorts four image types in an online shop by the AI Act deepfake definition — photorealistic AI product image and AI lifestyle image require labelling, AI cut-out and stylised illustration do not",{},true,null,"2026-11-05",14,{"title":927,"description":928,"articleModifiedTime":924},"Labelling AI images: what online shops must do","Article 50 of the AI Act applies since 2 Aug 2026. When AI product images count as deepfakes, how to label them, and why unfair-competition law still applies.",{"loc":138,"lastmod":924},"en\u002Finsights\u002Fai-image-labelling-online-shops",[932,933,934,935],"E-Commerce Law","Compliance","AI","Shopware","insights-ai-image-labelling-online-shops","MgU8vLSbGXja7s-X08E0f2w956l-hN2IE2KEVTi1kIM",{"id":939,"title":940,"alternateName":923,"bio":941,"body":942,"description":1111,"events":1112,"extension":917,"heroIllustration":1114,"image":1116,"meta":1119,"name":1118,"navigation":922,"ogImage":923,"path":249,"projects":923,"publishedAt":923,"robots":923,"role":1120,"sameAs":1121,"schemaOrg":923,"seo":1125,"sitemap":1127,"slug":258,"socials":1128,"squeeze":916,"stem":1129,"talks":923,"translationKey":1130,"updatedAt":923,"__hash__":1131},"team_en\u002Fen\u002Fteam\u002Fbenedikt-rillox.md","Benedikt Rillox — Founder & Strategist","Benedikt is managing partner of nuonic Digital, e-commerce consultant, and developer. Since 2009 he has been designing, building, and guiding digital platforms — from code through product ownership to strategic leadership.",{"type":260,"value":943,"toc":1102},[944,948,953,956,959,962,966,969,972,975,978,981,985,988,991,994,1017,1020,1024,1027,1030,1033,1050,1054,1057,1060,1066,1069,1073,1076,1079,1082,1086,1089,1092],[288,945,947],{"id":946},"about-benedikt-rillox","About Benedikt Rillox",[279,949,950],{},[263,951,952],{},"To me, technology is not a cost item — it's a competitive advantage.",[263,954,955],{},"I'm Benedikt Rillox, managing partner of nuonic Digital, e-commerce consultant, and developer.",[263,957,958],{},"Since 2009 I have been designing, building, and guiding digital platforms. My path led from hands-on software development through product ownership and technical team leadership into entrepreneurial responsibility.",[263,960,961],{},"That's why I know e-commerce from very different perspectives: from the code, from product development, from budget responsibility, and from strategic leadership. Today I combine these experiences to build commerce systems that don't just work technically, but measurably move businesses forward.",[288,963,965],{"id":964},"my-path-in-e-commerce","My path in e-commerce",[263,967,968],{},"I started out as a developer for web and e-commerce projects using technologies like Shopware, TYPO3, PHP, and Symfony. During that time I delivered solutions for smaller companies as well as for well-known brands and corporations — including Unilever, Paul Hewitt, and Framily.",[263,970,971],{},"At A-Z Gartenhaus my role evolved from Shopware developer to product owner. There I helped build and lead a ten-person development team and was responsible for the strategic evolution of the commerce platform and its connected third-party systems.",[263,973,974],{},"For the Legero United group I took on budget responsibility as product owner and coordinated the technical development of the Superfit, legero, and Think! shops.",[263,976,977],{},"As tech lead for ByteClub I planned and built the commerce platforms of the group with brands like COMSPOT, Shifter, GfBD, and IM.F.B. Further projects included ongoing support and the Shopware 6 rebuild for Xucker, as well as the design and development of a Shopware payment plugin for topi that digitizes B2B leasing and buy-on-invoice.",[263,979,980],{},"These stations taught me that successful commerce projects never consist of technology alone. They combine architecture, processes, people, and clear business goals.",[288,982,984],{"id":983},"from-development-to-strategy","From development to strategy",[263,986,987],{},"I am a developer, a strategist, and a problem solver.",[263,989,990],{},"I can dive deep into technical details without losing sight of the actual goal: What impact should a solution have for the company, its people, and its customers?",[263,992,993],{},"Today my focus is on designing, building, and continuously evolving demanding Shopware systems. Among other things, that includes:",[545,995,996,999,1002,1005,1008,1011,1014],{},[548,997,998],{},"technical and strategic e-commerce consulting,",[548,1000,1001],{},"software and Shopware development,",[548,1003,1004],{},"architecture and system integration,",[548,1006,1007],{},"product ownership and project management,",[548,1009,1010],{},"performance and stable operations,",[548,1012,1013],{},"automation and process optimization,",[548,1015,1016],{},"technical team leadership and collaboration with agencies.",[263,1018,1019],{},"Across more than 25 client projects I have seen what makes digital initiatives fail — and what makes them succeed. Good technology needs a clear direction, realistic requirements, and the courage to make decisions.",[288,1021,1023],{"id":1022},"i-dont-build-shops-just-so-theyre-online","I don't build shops just so they're online",[263,1025,1026],{},"A shop can work technically and still be too slow, too complicated, or economically ineffective. That's why at nuonic we don't just look at individual features. We look at the whole system: architecture, processes, integrations, performance, customer journey, and the ability to grow in the future.",[263,1028,1029],{},"I don't believe in best practices when they merely mean copying what everyone else is already doing. I believe in solutions that fit a company's business model, its team, and its actual goals.",[263,1031,1032],{},"That also means asking uncomfortable questions:",[545,1034,1035,1038,1041,1044,1047],{},[548,1036,1037],{},"Does this feature really need to exist?",[548,1039,1040],{},"Does it solve a relevant problem?",[548,1042,1043],{},"Will the system remain manageable in the long run?",[548,1045,1046],{},"Does the investment support a concrete business goal?",[548,1048,1049],{},"Can the platform grow without collapsing under its own complexity?",[288,1051,1053],{"id":1052},"responsibility-begins-after-go-live","Responsibility begins after go-live",[263,1055,1056],{},"To me, go-live is not a success. It's the beginning of responsibility.",[263,1058,1059],{},"Only in day-to-day operations does a platform prove whether it truly holds up: whether it stays stable, whether the team can work with it efficiently, and whether it can evolve without unnecessary friction.",[263,1061,1062,1063],{},"That's why my work doesn't end with the handover. That's where the real value creation begins: ",[267,1064,1065],{},"Optimize. Automate. Scale.",[263,1067,1068],{},"I don't think in short-term projects, but in commerce systems that carry their weight for the long run. Technology shouldn't just cover today's needs — it should open up new possibilities.",[288,1070,1072],{"id":1071},"clarity-is-part-of-working-together","Clarity is part of working together",[263,1074,1075],{},"Good results don't come from saying yes to every idea. That's why I also say no — to bad requirements, to short-term thinking, and to projects without a discernible direction.",[263,1077,1078],{},"I prefer working with decision-makers who take ownership. With teams that are ready to genuinely change things instead of merely managing existing problems. And with companies that see technology as an investment — not as a necessary cost item.",[263,1080,1081],{},"That's not always comfortable. But it creates clarity, protects budgets, and leads to better results.",[288,1083,1085],{"id":1084},"what-i-stand-for","What I stand for",[263,1087,1088],{},"I don't want to simply be busy. I want to create impact.",[263,1090,1091],{},"With nuonic we build commerce systems for companies that want to grow — faster, more stable, and more profitable.",[263,1093,1094,1095,1098,1099,1101],{},"Others talk about digitalization. We deliver it.",[1096,1097],"br",{},"\nOthers plan. We build.",[1096,1100],{},"\nOthers wait. We go.",{"title":885,"searchDepth":886,"depth":886,"links":1103},[1104,1105,1106,1107,1108,1109,1110],{"id":946,"depth":886,"text":947},{"id":964,"depth":886,"text":965},{"id":983,"depth":886,"text":984},{"id":1022,"depth":886,"text":1023},{"id":1052,"depth":886,"text":1053},{"id":1071,"depth":886,"text":1072},{"id":1084,"depth":886,"text":1085},"Projects, references, talks and events by Benedikt Rillox — founder and strategist at nuonic Digital, e-commerce consultant and developer since 2009.",[1113],"omr-festival-2026",{"src":1115,"alt":885},"\u002Fimages\u002Fteam\u002Fdefender.png",{"src":1117,"alt":1118},"\u002Fimages\u002Fteam\u002Fbenedikt-rillox.jpg","Benedikt Rillox",{},"Founder & Strategist",[1122,1123,1124],"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fbenedikt-rillox-4122b183\u002F","https:\u002F\u002Fgithub.com\u002Fbenediktrillox","https:\u002F\u002Fwww.xing.com\u002Fprofile\u002FBenedikt_Rillox",{"title":940,"description":1111,"articleModifiedTime":1126},"2026-08-14",{"loc":249,"lastmod":1126},{"linkedin":1122,"github":1123},"en\u002Fteam\u002Fbenedikt-rillox","team-benedikt-rillox","Io4iBFT4BZaQMrk8v8Woi1nCjxdLOcoLJReSh5tJVUg",{"id":1133,"title":1134,"author":258,"body":1135,"description":1201,"draft":916,"extension":917,"file":1202,"fileLanguage":1203,"gated":916,"image":1204,"meta":1207,"navigation":922,"ogImage":923,"pageCount":1208,"path":189,"publishedAt":1126,"robots":923,"schemaOrg":923,"seo":1209,"sitemap":1210,"squeeze":916,"stem":1211,"tags":1212,"translationKey":1214,"updatedAt":923,"__hash__":1215},"whitepapers_en\u002Fen\u002Fwhitepapers\u002Fe-commerce-compliance-2026-27.md","Compliance 2026\u002F27: Regulatory Wave in E-Commerce",{"type":260,"value":1136,"toc":1196},[1137,1140,1143,1147,1182,1186,1189,1193],[263,1138,1139],{},"2026\u002F27 brings the densest regulatory wave online retail has seen since the GDPR: between mid-2026 and the end of 2027, new obligations take effect almost every quarter. The withdrawal button and the EU Packaging Regulation already apply — this is no longer about preparation, but about retrofitting.",[263,1141,1142],{},"The good news: not every rule hits every merchant. This whitepaper puts every deadline in order, draws clean lines around who is affected when — and delivers the action items to match.",[288,1144,1146],{"id":1145},"whats-inside","What's inside",[545,1148,1149,1155,1161,1170,1176],{},[548,1150,1151,1154],{},[267,1152,1153],{},"Deadline overview:"," Every effective date from GPSR (2024) to full CRA application (December 2027) in chronological order — including obligations already in force that many shops still leave open.",[548,1156,1157,1160],{},[267,1158,1159],{},"Nine regulations in detail:"," Withdrawal button, EU Packaging Regulation (PPWR), warranty & guarantee labels (EmpCo), Consumer Credit Directive CCD II, Cyber Resilience Act, EU Deforestation Regulation, the new Product Liability Directive, the AI transparency duty (Art. 50 AI Act), and the Digital Product Passport — each with concrete action items.",[548,1162,1163,1166,1167,309],{},[267,1164,1165],{},"Labelling AI images:"," Article 50 of the AI Act has applied since 2 August 2026. When an AI product image counts as a deepfake requiring disclosure, who is provider and who is deployer — and why labelling does not cure a misleading image under unfair-competition law. The long-form version is in ",[594,1168,1169],{"href":138},"AI images in online shops",[548,1171,1172,1175],{},[267,1173,1174],{},"Applicability matrix:"," Which rules hit which merchant? Four merchant profiles as a quick self-test — from a purely domestic B2C shop to an importer with private labels.",[548,1177,1178,1181],{},[267,1179,1180],{},"Prioritized action plan:"," What to retrofit immediately and what must be in place by when — as a checklist with every date.",[288,1183,1185],{"id":1184},"who-this-whitepaper-is-for","Who this whitepaper is for",[263,1187,1188],{},"Shop owners, e-commerce leads, and product owners who want to know which of the nine regulations actually apply to their setup — and in what order to implement them. Compliance rarely fails on the legal text; it fails on unclear applicability and missing prioritization.",[288,1190,1192],{"id":1191},"the-key-figures","The key figures",[263,1194,1195],{},"Nine new regulations, six deadlines in 2026 alone, fines up to €200,000 under the PPWR and up to €15 million or 3% of worldwide annual turnover for breaches of the AI transparency duty. A single, clean applicability analysis along four criteria — customer group, assortment, shipping territory, role & size — replaces months of uncertainty.",{"title":885,"searchDepth":886,"depth":886,"links":1197},[1198,1199,1200],{"id":1145,"depth":886,"text":1146},{"id":1184,"depth":886,"text":1185},{"id":1191,"depth":886,"text":1192},"Withdrawal button, PPWR, warranty labels, CCD II, Cyber Resilience Act, AI transparency duty, Digital Product Passport — every deadline, who is affected when, and what to do.","\u002Fdownloads\u002Fwhitepapers\u002Fnuonic-whitepaper-e-commerce-compliance-2026-27-43284082.pdf","de",{"src":1205,"alt":1206},"\u002Fimages\u002Fwhitepapers\u002Fe-commerce-compliance-2026-27.svg","Timeline of the 2026\u002F27 e-commerce compliance deadlines",{},8,{"title":1134,"description":1201,"articleModifiedTime":924},{"loc":189,"lastmod":924},"en\u002Fwhitepapers\u002Fe-commerce-compliance-2026-27",[933,932,1213],"Regulation","whitepaper-compliance-2026-27","j47XAR4skIgol3t3LHRnbD0xaj3toMiICBNI-Aa4rS8",1793874709564]