Logistics / Retail Distribution / FMCG (Tobacco)

Smarter Routes, Faster Scans: Transforming Tobacco Distribution with AI Technology.

Smarter Routes, Faster Scans: Transforming Tobacco Distribution with AI Technology.

Project Results
Project Results

3.4 → 6.8

Avg. store visits per day

↑↑

Route Efficiency

+36%

Work quality & speed

About Project

Company: Confidential
A logistics and field operations project focused on optimizing truck routes, improving shelf scanning, and streamlining daily workflows for field reps. My work covered end to end UX: understanding on site processes, redefining task flows, designing a mobile first experience, and delivering a system that increased route efficiency and improved overall productivity.

Problem

  1. Inefficient truck routes that increased time on the road
  2. Manual shelf scanning that slowed down store visits
  3. Lack of clear task prioritization for field reps
  4. Inconsistent data capture across locations
  5. Limited visibility into daily progress and performance
  6. Complex workflows that weren’t optimized for mobile use

Project Milestones

Project Milestones

Key milestones that shaped the project and ensured steady progress from discovery to delivery.
Key milestones that shaped the project and ensured steady progress from discovery to delivery.

Phase 1

UX Research & discovery

UX Research & discovery

Phase 2

Wireframing and user testing

Wireframing and user testing

Phase 3

Prototyping and validation

Prototyping and validation

Phase 5

Design System Creation and Documentation

Design System Creation and Documentation

Phase 6

Implementation

Implementation

Phase 7

QA and Iteration

QA and Iteration

New product launched with a solid design system in place — a strong foundation for continuous testing and improvement.

New product launched with a solid design system in place — a strong foundation for continuous testing and improvement.

End Result Snapshots

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