Most PIM vendors are racing to embed AI into text workflows – descriptions, translations, SEO copy. Ergonode has taken a different direction. In this webinar, Stephan Spijkers sits down with Tomas Hesseling, Global BD Director at Ergonode, to demonstrate what happens when visual AI becomes a native PIM feature. The result is a live showcase of AI Studio: a tool that generates publication-ready lifestyle images, configurable virtual model shots, and channel-specific visuals in under 30 seconds – without leaving the platform.
Speakers:
Stephan Spijkers – Co-Founder, PIMvendors.com
Tomas Hesseling – Global BD Director, Ergonode PIM
Key Takeaways:
AI Studio puts visual content generation inside the PIM, not beside it
Every Ergonode plan includes AI Studio, which generates lifestyle imagery by combining a product image, a virtual model, and a configured scene — all driven by the product data already sitting in your PIM. Generation takes 20 to 30 seconds per image. The credit-based model scales with plan tier, and additional credits can be purchased. The practical cost comparison against a traditional photo shoot – location, models, production crew – makes the business case immediate, even accounting for a hybrid approach where AI and physical shoots coexist.
Virtual model creation is fully configurable – including animals
From the Ergonode back end, teams build a library of virtual models by specifying body shape, height, ethnicity, hair type and color, skin tone, and fine details such as tattoos or piercings. Scene templates then define lighting, camera angle, and how the model interacts with the product – standing, sitting, walking, or lying down. During the live demo, Tomas created a Labradoodle model named Bowie on the spot and placed it in a rooftop scene with a pair of running shoes, illustrating both the breadth of use cases and the speed of the tool.
Scene flexibility spans fashion, home décor, and technical product photography
Current scene verticals cover fashion and apparel, interior and home décor, and dimensional/technical product shots – the kind that display a refrigerator’s exact measurements in the context of a kitchen. Custom scene controls allow teams to place products against landmarks, in specific room types, or in any branded environment. The same running shoe can appear under a little black dress on a premium fashion site or with a tattooed model running through Manhattan for a streetwear brand – two executions, same SKU, minutes apart.
Real-time automations chain AI actions without manual handoffs
Ergonode’s rule-based automation engine triggers on product creation or update events. A typical chain: if attributes A, B, C, and D are enriched, generate an AI description using a custom prompt, then automatically translate that description into German, Dutch, and French. Variables from existing attributes feed directly into prompts, producing dynamic, context-aware outputs. The engine runs in the background at scale, removing the repetitive reasoning work from content teams entirely.
The DAM handles asset assignment and channel formatting natively
The recently released Digital Asset Manager auto-assigns images to products by recognising SKU or EAN patterns in filenames -no manual mapping required. Media profiles define output specifications per channel: format (WebP, JPEG), resolution, quality, focus point, and resize strategy. A product can simultaneously maintain a B2B thumbnail, a listing image, an ERP export, and a product detail banner – all generated and managed from a single asset record.
The Q3/Q4 roadmap extends AI into brand consistency and LLM choice
Coming before year-end: a reusable prompt library for descriptions, translations, AI enrichment, and AI Studio scenes; a translation glossary with forbidden words and brand-specific terms AI should never alter; a central brand guidelines layer that informs both text generation and image creation; and LLM model selection so teams can choose their preferred model as the market expands. Bulk execution of “Complete with AI” and media generation are also in progress, alongside AI product categorisation and a consistency checker for attribute-level errors.
Hyper-personalised e-commerce imagery is already in pilot
One Ergonode customer is building a feature where shoppers create a personal profile – body shape, size, style – and then browse the entire catalogue with products shown on a model that matches their own dimensions. The images are generated per session from the back end. Tomas also confirmed that video generation is the next frontier: three to five AI lifestyle stills are sufficient input to produce a short product video, and Ergonode is already experimenting with the capability.
👉 Ready to see how Ergonode fits your product data stack? Explore your options and book a free consultation at pimvendors.com
