KaptiInternal project Retail
A store app that prioritizes morning tasks, and a design system for team tools
Stockouts discovered at opening, four apps that look nothing alike. AI-prioritized tasks and a shared system, built for the shop floor.
- Sector
- Retail
- Typical engagement
- 9 weeks
- Indicative budget
- From €49,500 excl. VAT
- Proposed team
- 3 leads from the collective
- Services
- Express Design System · AI Product Sprint
Internal project, carried out by collective members to explore the retail sector. This is not a client engagement: “Marché Linéa” is a demo brand.
Context
The need we imagined, based on what we hear in the sector:
Every morning, our department managers discover stockouts at the same time as customers. Our four internal apps (orders, inventory, labels, scheduling) each have their own buttons, colors and bugs.
Typical client: A neighborhood store chain with hundreds of locations, where every minute before opening counts.
The challenge
- 1
Built for the shop floor
Gloves, movement, stockroom lighting, weak signal: large buttons, high contrast, offline mode.
- 2
Prioritize, don’t dictate
The AI suggests a task order with its reasoning. The department manager is free to rearrange it.
- 3
One system for four tools
Shared components to ship faster and train less.
The engagement we would run
Typical 9-week engagement
Here’s how we would run this engagement for a real client. The screens and demo below were produced during the internal project.
- 1
Research · Weeks 1 and 2
Observation of 5 stores at opening, 14 interviews with department managers, store managers and support teams.
- 2
Design system · Weeks 3 to 6
Audit of the 4 apps, tokens, 40 components, high-contrast outdoor mode, in Figma and React Native.
- 3
Design and development · Weeks 4 and 5
AI-prioritized task list with explanations, stockout prediction based on sales and deliveries.
- 4
Adoption · Weeks 7 to 9
Documentation, governance, migration of one screen per app with each team.
The team we would bring in
3 leads, one role each
João Da Silva Marly
Engagement lead and design system
Thomas Thévenet
UI and art direction
Meril Banzouzi
Back-end and AI development
The screens
Morning tasks, on mobile. Tasks are ranked by impact, with a one-line reason. One gesture to complete, one gesture to postpone.
Predicted stockout details. Product, estimated stock, next delivery and recommended action, in large type.
The Linéa design system. Tokens, buttons, task cards and stock indicators, shared across all 4 apps.
Interactive demo
You’re a department manager, it’s 7 a.m.
The app ranks the morning tasks based on the day’s context and explains why.
Your turn
- 1Check or uncheck today’s context
- 2The task order changes
- 3Read the reason behind each priority
Reorder the morning tasks
Change the context, and the order and reasons update. The department manager stays in control.
Target outcomes
- Stockouts found at opening · Goal: cut in half
- Morning shelf-stocking time · Measured in 5 pilot stores
- Shared components · Share of screens built with the system
What the client would receive
- Field research synthesis
- Figma and React Native design system
- Working version of prioritization and prediction
- Documentation and governance
- Migration plan for the 4 apps