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Jinnlabs AI · Dashboard & Mobile

Jinnlabs — AI Store Manager

An AI copilot for retail — turning raw store data into real-time alerts and clear analytics, so managers can act before small problems start costing them sales.

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Role

Product Designer — UI/UX

Timeline · Year

6 weeks · 2025

Scope

Mobile app · Web app · Dashboard

Sector

Retail AI

Jinnlabs AI store manager dashboard

01 — Overview

The brief behind the build

Store managers sit on mountains of data — sales, stock, footfall — but most of it surfaces too late to act on. Jinnlabs set out to flip that: an AI layer that watches the numbers and tells managers what needs attention, right now.

The design challenge was turning an AI engine into something a busy manager actually trusts — alerts that feel timely, not noisy, and analytics that answer the question rather than dumping a chart on the screen.

02 — The challenge

What made it hard

  • Making AI insights feel trustworthy and explainable — not a black box telling people what to do.
  • Designing alerts that earn attention without becoming noise managers learn to ignore.
  • One product across a manager's phone and a back-office dashboard, with the right depth on each.
  • Turning dense analytics into glanceable answers a manager can act on between tasks.

03 — Approach

How I worked through it

Discover

The manager's day

Learned when and how managers make decisions, and which signals actually change what they do.

Define

Signal vs noise

Defined what deserves an alert, what belongs in analytics, and how the AI explains itself.

Design

Alerts & dashboard

Designed a glanceable mobile alert flow and a deeper web dashboard from the same system.

Validate

Trust check

Tested whether insights read as clear, credible, and worth acting on — then tuned the hierarchy.

Ship

Hand off

Delivered components and states engineering could wire straight to the data and AI layer.

04 — Screens

A closer look

Jinnlabs store insights — analytics and trends for the store
Store insights
Jinnlabs security alert — AI-flagged suspicious activity with camera clip
Security alert — AI flag
Jinnlabs profile — stores, billing plan, and account settings
Profile & billing

05 — Outcome

What shipped

A retail AI product that managers can read at a glance — real-time alerts on mobile, deeper analytics on the web, and a consistent system tying the two together.

Real-time alerts

Timely, explainable nudges that tell managers what needs attention now.

Analytics dashboard

Dense store data turned into clear, decision-ready views.

Mobile + web app

One product language across the manager's phone and back office.

★★★★★

"Working with Umer on our redesign was a great experience. The product feels much cleaner and far easier to use."

JinnlabsHarjeevFounder, Jinnlabs.ai

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