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
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.
