Masar Hero Image

Projects B2B SaaS & Mobile Design

Transportation & Logistics

Masar
Platform

Simplifying control through data and predictive intelligence. Unifying fleet command across web and mobile to automate dispatch, predict breakdowns, and streamline compliance.

Project Type Fleet Management SaaS + App
Location Tunis, Tunisia
Core Focus Proactive Control & Visibility
Project Type Design Concept
01 — Overview

One platform, complete control.

Masar unifies fleet command across web and mobile, bridging the gap between dispatchers at HQ and drivers on the road.

Designed specifically for the constraints of Tunisian operators, Masar focuses on predicting breakdowns, automating dispatch decisions, and streamline regulatory compliance. Dispatchers command from a powerful dashboard, while drivers execute seamlessly from the road.

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02 — The Challenge

The Cost of Operational Blindness

23%

Operational Hours Lost to Preventable Chaos

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Unexpected Breakdowns

Buses failing on highways cause cascading revenue drops and stranded passengers.

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Fuel Theft & Leakage

Blind spots in tracking bleed funds through undetected theft and inefficiencies.

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Scheduling Conflicts

Dispatchers hold 40+ complex schedules in their heads, breaking down under pressure.

03 — The Solution

Proactive Control Architecture

We built a centralized platform providing AI-powered foresight, real-time coordination, and transparent cost control.

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Masar (SaaS Web App)

A fleet command platform that transforms reactive chaos into proactive control. It predicts breakdowns, automates dispatch decisions, and streamlines compliance without the paperwork burden.

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Masar Go (Driver App)

A companion app that puts fleet control in drivers' hands. It allows them to start shifts with confidence, log fuel offline, and report emergencies in seconds. Designed for dead zones and gloves.

04 — Persona Analysis

Designed for the Real Teams

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Karim Ben Salah, 40

Fleet Dispatcher

"I need a platform that centralizes real-time fleet visibility and automates scheduling logic, so I can resolve route disruptions instantly without manual paperwork or conflicting assignments."

flag Goals
  • Keep 40 buses moving on time with zero highway breakdowns.
  • Hand off his shift without 2 hours of verbal briefing.
  • Prove to management that chaos isn't his fault.
warning Problems
  • Holds details in his head; if he's sick, ops collapse.
  • Can't see which bus will break down next, only which already did.
  • Juggling 4 WhatsApp groups, phone calls, and paper logs.
lightbulb Needs
  • One glance to know what's on fire, smoldering, or fine.
  • Automatic alerts before problems become emergencies.
  • A system that trains his replacement just by using it.

Reducing Cognitive Load: Every extra click is a decision delayed; every delayed decision is revenue lost.

62% load reduction

05 — User Flows

Systematic Operational Rhythms

By mapping the dispatcher's day, we transformed complex, multi-channel scrambles into streamlined digital operations. Here are two critical daily workflows.

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Morning Dispatch

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1. Import Schedules
From API / Spreadsheet
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2. AI Conflict Check
Detect driver availability
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3. Resolve & Assign
Fix errors, finalize shifts
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4. Publish Routes
Push to Drivers App
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Crisis Response

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1. Receive Alert
Engine Failure detected
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2. AI Suggestion
Find replacement bus
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3. Reassign
Confirm transfer data
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4. Auto-Notify
Push to new Driver
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5. Audit Log
Log system change
06 — Architecture

Intent-Based Navigation

Instead of organizing by technical modules, the IA is structured strictly by Operational Rhythm—matching exactly how a dispatcher views their day from high-level mapping down to granular reporting.

Masar Web App
Live Operations

Fleet Map, Alert Feed, Active Trips

Dashboard

High-level Metrics, KPIs

Fleet Directory

Vehicles, Maintenance, Fuel & Costs

Scheduling

Daily Dispatch, Route Planning

Workforce

Drivers, Shifts, Performance

Reports

Operations, Cost Analytics, Compliance

07 — Dashboard Pages

Translating Complexity into Action

The command center replaces fragmented spreadsheets and panicked phone calls, presenting critical data when it matters most. Below is a full desktop experience breakdown.

Masar Dashboard Overview Masar Morning Dispatch & Scheduling Masar Predictive Maintenance Masar Live Operations Map
AI Confidence

Live Map & Fleet Health

Monitor component wear in real time. The system forecasts failure probability with AI confidence, dynamically altering routes and notifying dispatchers to prioritize maintenance by risk before highway breakdowns occur.

Live Operations

Fleet Health: 82%

31 Healthy, 3 Critical
CRITICAL ALERT

Bus #47: Engine Failure Risk

Rerouting to Depot...

Active Shifts: 45/60

Fuel Efficiency Audit - Bus 23

Last 7 Days
Expected Baseline
Mon
Tue
Wed
Anomaly Detected
Thu
Fri
Proactive Tracking

Fleet Fuel Efficiency

Track fuel consumption across every bus. The system automatically visualizes trends against expected baselines, allowing finance teams to catch sudden drops indicating theft, leaks, or engine inefficiency instantly.

08 — Results

Impact in Numbers

8min

Handoff Time
(76% Faster paper-based)

62%

Faster Response Time
To crisis events

+57%

Overall Efficiency
Across fleet dispatch

18%

Reduction in Fuel
Expenditure

40%

Decrease Breakdowns
Highway incidents

09 — The Driver Companion

Masar Go Mobile App

Built for the driver's reality: 4G-constrained, high-vibration environments, gloves, and dead zones. It turns administrative hurdles into quick digital checks.

10 — Conclusion

What I Learned

Designing Masar was a masterclass in reducing cognitive load under pressure.

When building for operational dispatchers, aesthetics matter far less than data hierarchy. The key realization was that dispatchers don't need more data; they need decisions teed up for them. By shifting the software from a "passive ledger" to an "active assistant" (AI confidence scores, auto-reassignment suggestions), we dramatically lowered their stress and hand-off times.

Furthermore, the necessity of the offline-first approach for Masar Go taught me to design for the worst-case scenario. Designing interfaces that remain fully functional without a 4G connection isn't just an engineering challenge; it requires specific UX framing to ensure the driver still feels confident the data is secure and will sync properly.