Using AI to take the guesswork out of grocery shopping and meal planning — learning your preferences, dietary needs, and budget to plan, shop, and navigate for you.
The grocery and meal-planning app landscape is deeply fragmented: one app to plan meals, another to navigate the store, a third to manage the pantry, a fourth to look up recipes. None of them talk to each other, and none of them adapt to your personal needs.
MealMap was designed to change that — a single, AI-powered experience that covers the entire journey from "what's for dinner tonight" to finding it on the shelf, while staying accessible to users with diverse needs.
No grocery shopping app creates meals, remembers when your favorites are running out, manages your pantry, allows you to import recipes from anywhere, helps you navigate to your items in the store, and adapts to user accessibility needs — all in one app.
9 individuals — ages 24 to 64 — were interviewed on their grocery shopping habits, technology usage, pain points, and accessibility needs. Two participant quotes crystallized the core problem space immediately.
%20(1).png)
Thematic analysis of the 9 user interviews produced 5 clear themes. Competitive analysis confirmed no existing app addressed all of them — revealing a genuine market gap.
.png)
Ideation began with hand sketches across all major flows, then rapidly progressed to low-fidelity wireframes for usability testing — before any visual design was applied.
%20(1).jpeg)
%20(1).jpeg)
.jpeg)
.jpeg)
.png)
.png)
.png)
.png)
The final solution unifies onboarding, recipes, food inventory, grocery lists, in-store navigation, and error handling into a single AI-powered app — each screen built around accessibility and reducing friction.
.png)
A mixed-methods testing approach combined qualitative depth with quantitative scoring — giving a complete picture of what was working and what still needed iteration.
%20(1).png)
