# Adaptive Decision Engines The Very Group Has Tailored Offers with Made With Intent By Adam Harrie | Written with AI assistance | Published 2026-10-06 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/adaptive-decision-engines References: [retailtechinnovationhub](https://retailtechinnovationhub.com/home/2026/10/5/the-very-group-connects-with-ai-powered-e-commerce-personalisation-platform-made-with-intent)  The Very Group is adding 'Made With Intent' to its e-commerce stack so shoppers on Very and Littlewoods can receive discounts and prompts timed to what they are doing in the moment. The AI engine reads buying intent during a visit and adjusts what appears on screen, rather than serving the same path to everyone. Using more than 800 behavioral signals, the setup pairs a proprietary model with an optimization agent to sort visits across many intent combinations. That gives Very room to show a one-off discount to one shopper and a payment prompt to another. In its first month, one strategy lifted revenue per customer by a fifth and improved conversion. For retailers, this makes personalization a live merchandising decision rather than a broad segment rule. E-commerce teams get a new way to tune offers for each session instead of relying on static page setups. Image Credit: The Very Group ## Trend Insights (Trend Hunter) - Score: 7.8/10 - Popularity: 67% | Activity: 67% | Freshness: 100% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: Europe ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### Key Themes Behind This Trend - **Real-time Intent Personalization:** AI systems that interpret session behavior can reshape offers, content, and prompts instantly, creating space for retailers to move beyond static segmentation. - **Adaptive E-commerce Journeys:** Dynamic shopping paths based on live behavioral signals introduce new merchandising models where each visitor experiences a tailored route to purchase. - **Optimization-agent Retailing:** Autonomous optimization tools are turning digital storefronts into responsive environments that continuously test and refine revenue-driving interventions. ### Where This Applies - **E-commerce:** Online retailers can use intent-aware engines to individualize discounts, financing prompts, and product messaging during active shopping sessions. - **Retail Technology:** Platforms that combine behavioral analytics with AI decisioning are becoming core infrastructure for merchants seeking more responsive digital experiences. - **Digital Marketing:** Campaign teams gain new opportunities as promotional strategies shift from broad audience targeting to in-the-moment customer intent signals. ## Related on Trend Hunter - [Spatial AI Shopping Technologies](https://www.trendhunter.com/trends/vusiongroup-edgesense-ai.md) - [Hyper-Personalized AI Shopping Tech](https://www.trendhunter.com/trends/hyperpersonalized.md) - [Agentic Shopping Experiences](https://www.trendhunter.com/trends/buy-with-ai.md) - [Agentic AI Pricing Systems](https://www.trendhunter.com/trends/agentic-pricing-solution.md) - [Agentic Shopping Platforms](https://www.trendhunter.com/trends/hey-savi.md) - [AI-Powered Discovery Commerce](https://www.trendhunter.com/trends/aipowered-discovery-commerce.md) - [Real-Time Decision Engines](https://www.trendhunter.com/trends/ai-decision-engine.md) - [Real-Time Grocery Personalization Platforms](https://www.trendhunter.com/trends/birdzi.md) - [AI-Personalized Streaming Ads](https://www.trendhunter.com/trends/AI-personalized-streaming-ads.md)