LocoNav, the Locus team to automate supply chains
Fleet technology company LocoNav has launched a partnership with Locus to automate supply chain operations, the companies announced Wednesday (April 6).
Based in India, Locus uses machine learning, deep technology and proprietary algorithms to tackle complex last-mile problems. According to the press release, these issues can range from inefficiencies such as traffic delays, accidents or theft to excessive fuel consumption due to idling or speeding – all of which can have an impact. negative about a delivery company.
Meanwhile, LocoNav, also based in India, offers numerous fleet management solutions including track and trace, fuel monitoring, on-board diagnostics, rich analytics and custom reports, which the company says, can help Locus optimize multi-vehicle operations.
Additionally, the companies say end-to-end visibility will give Locus customers the ability to improve operational efficiency, reduce costs and streamline the customer experience.
“Collaboration is the first step to growth and we couldn’t have asked for a better partner than Locus to solve complex supply chain challenges,” said LocoNav co-founders Shridhar Gupta and Vidit Jain. . “This partnership will help us unlock great value for the entire ecosystem, supporting us in our mission to democratize fleet technology.”
LocoNav also raised $37 million last year in a Series B round, which was attended by Sequoia Capital India, Anthemis Group and Quiet Capital.
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PYMNTS explored some of the last mile challenges facing delivery companies last month in an interview with Andrew Travis, COO of Onfleet. While many companies still plot routes with Google Maps — or old-fashioned paper and pencil — others have embraced route optimization platforms that use modern geospatial data and machine learning.
See also: Last-mile delivery providers use technology to manage fuel costs
“A proper optimization engine can take into account more constraints faster and more accurately than any human and speed up this process as well,” Travis said. “What takes a route optimization engine 30 minutes can take a team of people a year to achieve success.”