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By Published On: October 14, 2022Categories:
Business & Finance · Case study

Launching a transport and logistics operation from an empty office

Building a transport and logistics enterprise takes more than vehicles. Our brief was to build brand identity, recruit a skilled workforce, put mission-critical technology in place and scale to a 50-truck fleet, all within 12 months in a competitive market.

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The result after 12 months

50trucks, scaled from an initial 25
66employees and drivers
AED 22.4Mrevenue in the first year

What we did

Business intelligence

Implemented integrated transport and logistics software for real-time fleet dispatch, GPS tracking and financial reporting.

Financial structuring

Structured financial operations and secured partnerships for fleet fuelling and highway toll systems to keep cash flow steady.

Sales and dispatch build-out

Built a sales and dispatch team from the ground up, with processes that secured regular, high-value contracts from day one.

Regulatory and compliance

Managed licensing, vehicle registration and the full legal setup, so every truck on the road was fully compliant.

How the fleet scaled

Dispatch and GPS tracking planning

Strategic command centre: real-time dispatch and GPS tracking software implemented from launch.

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Fleet scaling: from an initial 25 trucks to a full, professionally managed 50-truck fleet.

The framework behind the result

The launch wasn't accidental. It followed the same three pillars we apply to every transport and logistics engagement.

Integrated technology

A Transport Management System for automated dispatch and route optimisation, integrated accounting for real-time financial control, and driver apps for proof of delivery.

People and process

Organisational structure, competitive driver and dispatcher packages, and standard operating procedures for every critical function, from maintenance checks to invoicing.

Partnerships and financial modelling

Favourable terms with vehicle suppliers, fuel providers and insurers, plus financial models forecasting cash flow against fleet size and utilisation.

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