Using AI and ML, this Mumbai SaaS startup is driving efficiency in the logistics industry

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The potential to disrupt inefficiencies using innovations has led several startups, especially in India, to rise to the challenge.
GoBOLT, a Mumbai-based software-as-a-service (SaaS) startup, was founded in late 2015, to take on the mammoth and unorganised logistics industry in India.
Founders Sumit Sharma, Parag Aggarwal, Naitik Baghlaall come from corporate backgrounds, having worked in companies like Ernst & Young, J M Financial, GSK, and Tata Motors.
The idea for GoBOLT was born during Sumit’s travels, while travelling to developed economies like the US and Canada, where asset utilisation in the trucking industry is very high.
They are dependent upon local brokers for getting freight on a daily basis,” says Sumit, the 34-year-old co-founder of GoBolt.
And GoBOLT aims at removing these inefficiencies through the use of artificial intelligence and machine learning-based technology innovations.
“We provide technology and logistics solutions in supply chain management, from ‘design to deliver’ covering transportation, warehousing, and supply chain planning,” says Sumit.
(L-R) Naitik, Sumit and Parag, founders of GoBolt
Sumit leads finance, compliance/legal, business development, and marketing/branding at GoBOLT.
Parag and Naitik (both 34-years-of-age) worked together at GSK Consumer before starting up with GoBOLT.
The trio now strives to provide transportation, warehousing, and supply chain technology solutions to companies across industry types and revenue size.
“We seized that opportunity, and after a month of study at the factory and local transportation market, came up with an effective solution, which reduced their logistics cost by 10 percent.
Hence, we landed our first contract, the first truck on GoBOLT’s platform was moved from Dehradun to Delhi NCR,” says Sumit.
“We heavily differentiate from our competitors (both traditional transporters and the new-age startups) in use of technology and disruptive business processe

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