Case Study

Sales Associate Mobile App

I helped turn an early product idea into a clickable concept: an AI-assisted mobile app for luxury retail sales associates, built to be pitched to potential clients. The whole process, from first ideas to a working prototype, took about a month.

Role
UI/UX Designer
Team
3 UI/UX Designers
Timeline
Aug 2025 – Sep 2025
Scope
Feature ideation · Wireframes · Visual direction · Prototype
~1
Month from idea to prototype
3
Designers in the team
5
User activities mapped
MVP
Scope defined from the story map
Dashboard with alerts and upcoming tasks Task card with objective, context and AI recommendations AI next steps after a client email

01

Context

Product

A mobile assistant for sales associates in luxury retail. It brings together the daily task list, client profiles, communication history and AI recommendations, so an associate can prepare for each client and follow up.

Problem

There was no existing product, only an idea and a concept. The team first had to decide what the app should actually do, then shape it into something that could be shown and sold. All of it had to fit into roughly one month.

My role

I worked in a team of three designers. I took part in user story mapping and MVP scoping, designed wireframes for the core flows, and co-created the moodboard. Once the visual direction was set, I reworked part of the screens in the final style. I then assembled the high-fidelity interactive prototype used for client presentations.

Scope

Dashboard · Tasks with AI context · Client list and profile · AI email summary and next steps · Interactive prototype.

02

Starting from an idea, not a brief

There were no fixed requirements. With about a month for everything, each stage had to be short and decisive.

Breadth first

Generate as many feature ideas as possible across the associate's whole workday.

Then focus

Keep only the features that make the concept clear and convincing in a demo.

03

User story mapping: from many ideas to an MVP

The map followed the associate's workday, from planning tasks to recommending products.

Under each step we generated possible features, from AI-prioritized reminders to call transcription and style-compatibility analysis. The map was then sliced to define the MVP: the features that best showed the product's value in one end-to-end story.

Plan work day

Manage client relationships

Initiate communication

Understand client needs

Recommend products

Many ideas → 1 storyThe MVP covers one end-to-end scenario, from a client email to a prepared recommendation

04

From wireframes to one visual style

Based on the MVP scope, I designed wireframes for the key flows: dashboard, tasks, client profile and AI-assisted communication. They let us check that the main scenario held together before working on visuals.

Wireframes

Structure of the core flows, checked against the MVP scenario.

Moodboard

Built together with the team. Luxury retail called for a calm, premium interface that is easy to scan between client conversations.

Restyling

Once the concept was agreed, I reworked part of the screens so the three designers' work read as one product.

05

Key screens

Dashboard

A daily overview: upcoming tasks, events and recent client contacts. Each block collapses, so the associate sees only what matters right now.

Dashboard: upcoming tasks and eventsDashboard: events and recent client contacts

Task card with AI context

Each task carries an objective, client context from past conversations, including the client's own words, and AI product recommendations.

Task listTask card with context and AI recommendation

Clients

A list built for quick scanning: average spend, number of purchases, interests and last contact on every card. The profile adds communication and purchase history.

Client listClient profile, Shopping and Purchase tab

AI email summary → next steps

An incoming email is summarized. AI then suggests profile updates, such as new interests, and follow-up tasks the associate can add in one tap.

AI summary of a client emailProfile update suggestions and new tasks

06

Final flow

1
2
3
4
5
6
From a client email to a prepared recommendation

1 · Dashboard

A new alert and a high-priority task appear.

2 · Email

An AI summary highlights the client's request.

3 · Next steps

AI suggests profile updates and new tasks.

4 · Tasks

The new task appears in the list.

5 · Task card

Objective, client context and an AI recommendation.

6 · Client profile

Purchase history confirms the choice.

07

Results

Presented to potential clients

The high-fidelity interactive prototype became the main tool for pitching the product concept.

Delivered

  • User story map with a defined MVP scope
  • Wireframes for the core flows
  • Moodboard and visual direction
  • High-fidelity screens in one consistent style
  • An interactive prototype of the end-to-end scenario
  • All of the above in about one month

08

What I learned

Designing from a concept, not a brief

When there's no product yet, the hardest part is deciding what not to build. Story mapping made those cuts visible and shared.

Prototype as a sales tool

A prototype for a pitch has a different job than one for usability testing. It has to tell one convincing story from start to finish.

Working in a design team

Splitting screens between three designers only works with a shared visual direction. The moodboard kept the result consistent.

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09

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