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Logistics

Start-up Ezyhaul raises $16 million; to expand South Asia operations

July 10, 2019: Singapore headquartered log-tech startup Ezyhaul has raised $16 million in series B funding to expand to new markets in South Asia.

The company seeks to provide a complete plug and play model for its clients through its online platform.
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The company seeks to provide a complete plug and play model for its clients through its online platform.

July 10, 2019: Singapore headquartered log-tech startup Ezyhaul has raised $16 million in series B funding to expand to new markets in South Asia.

The three-year-old company plans replicate its successful launch in Malaysia, Singapore, India (Mulura Logistics Pvt. Ltd) and Thailand. It is also integrating a cross border solution that currently stretches from China to Singapore.

The company seeks to provide a complete plug and play model for its clients through its online platform. It uses advanced technology to connect businesses in need of transportation services with pre-qualified transporters in the highly fragmented road freight market in South Asia.

Mudasar Mohamed, COO and co-founder said, “Businesses spend a lot of money and time as a result of unpredictable and unreliable freight movements. The Ezyhaul platforms empowers our clients with choice of carriers, scale and operational intelligence to achieve improved logistics performance and reduced costs.”

The start-up claimed to have grown more than 900 percent after successfully completing its $5 million series A fundraising in 2018.

Ezyhaul’s platform allows clients to make easy online bookings for domestic and cross-border transportation services. It includes integrated dynamic route optimisation technology that builds the most efficient delivery routes, optimizes vehicle utilisation and minimises total transportation costs.

The platform also provides real-time track and trace visibility and access to electronic documentation, invoicing and e-PODs (proof of delivery). The company recently launched a highly advanced control tower that monitors truck movements, provides intelligent exception alerts and predicts estimated time of arrival for shipments through advanced machine learning algorithms. Its clients have access to online reporting and advanced analytics to get detailed insight in their logistics performance.

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