Mealyn
A retail technology experience that turns household preferences, budget and food choices into a personalized grocery list — delivered through web software and an in-store self-service kiosk.
From a vague question to a concrete basket
“What should I buy?” sounds simple until software has to answer it for a real household. Preferences, number of people, budget, dietary constraints, product availability, offers and recipe logic all interact.
The engineering challenge is to convert that complexity into a short sequence a shopper can understand while standing in a supermarket.
Design for a physical environment
A kiosk is not a desktop website on a large screen. People stand at a distance, touch instead of click, expect immediate feedback and may leave after a few seconds. Targets have to be obvious, flows short and the product must recover cleanly when a session is abandoned.
Personalization without interrogation
The question flow needs enough information to build a useful result without feeling like a survey. Each question therefore has to justify its place in the decision model.
A useful result, not an AI demo
The output is concrete: a grocery list and associated recipes that can be adjusted, printed or used later. AI and recommendation logic are successful only when the shopper gets a more practical next action.
Retail operations matter too
The supermarket side can use the platform to think about promotion, product movement and customer experience. That makes Mealyn both a consumer interaction and a retail operating product.
Continuous product development
Real kiosk usage creates the feedback loop: where customers pause, which questions confuse them, which recommendations they accept and whether the final list feels credible. Those signals drive the next iteration.