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A refreshed version of Automated Commerce, shaped by your feedback. Everything works better together, faster and from one catalog. Plus the new Impact dashboard: see what happens to traffic, clicks and conversion.

GPT Image 2.5 costs a quarter of GPT Image 2 for the same job. We ran both on four real retail catalogs, four draws each, and measured which one actually follows the brief.

Ads start appearing in ChatGPT across the EEA and Switzerland later this month. The ad sits below the answer, and ChatGPT assembles that answer from your product data. What that means for European retailers, and what you can do this month.

Category copy that matches what is in the collection today, in every language you sell in. What category SEO across multiple brands actually involves, what your team does, and what it delivers.

Kimi K3 is closing in on Claude and GPT. The lesson for retailers is not which model wins, but that the winning AI foundation is a mix: the right model for each task, at the right price.

Selling across channels creates work and cost across many platforms. The channels update brings product input, enrichment and optimization into one interface.

E-commerce and search results are changing dramatically with the rise of agentic commerce. AI shopping is the fastest-growing sales channel and complete product information is becoming more important than ever.

Augmented Reality is changing the game for Furniture Retail: Numbers, Impacts, and Case History.

5 Tips for optimising your product SEO /GEO in 2026

Autonomous E-commerce is coming: Major update: AI Studio - Set your workflow - Multiple complex actions in a sequence - Unlimited bulk processing - Pre-set triggers for actions - 24/7 autonomous handling of tasks - Custom configuration workflow - Support for custom nodes

Three-quarters of businesses see potential in AI, but only one in five retailers actually use it. The problem? Your data isn't ready. Discover why data organisation is the key to AI that actually works.

The artificial intelligence landscape has reached a critical inflection point. Google's Gemini 3.0 has arrived and it signals a fundamental shift in how advanced AI systems can be deployed across business operations. After months of anticipation, Google has now released this groundbreaking model, delivering on promises of unprecedented capabilities that extend far beyond research labs and data science teams, they directly impact enterprise decision-making around AI strategy, data management, and operational automation.​ This isn't a minor update. According to Google leadership, Gemini 3.0 represents the largest leap forward in the model's evolution since its inception. The model is now available for integration, and early adopters are already discovering transformative applications across industries.

Lifestyle images enable consumers to more easily envision products in their own lives, significantly increasing trust and willingness to purchase more.

OpenAI has announced Instant Checkout, which allows users to check out within the OpenAI app. Discover how you can capitalize on this with AI product search and product data.

Discover the use of automated commerce in fashion retail: Lower costs & less work - More products & better results.

Most retailers now know that AI is important, but they don't have the time or knowledge to figure out which AI tools to use. Trying everything without a clear vision and technical knowledge will not deliver the desired solution—an SEO product description tool here, AI for photo generation there—without a clear vision or strategy. Het resultaat? Meer tools, meer complexiteit en torenhoge kosten voor softwarelicenties zonder duidelijk plan