Locus, a decision-making platform that provides automation and optimization in logistics operations, deployed its solutions to aid Rollick Ice Creams to reduce their logistics costs — that too by 8 percent.

It comes in to fill the crucial technology gap for the frozen desserts manufacturer. Rollick is now using Locus for planning the daily delivery to distributors all over West Bengal. With a quick turnaround time, Locus’ engine shaves 2 to 3 hours off the planning time.

Gaurav Khemani, Director of Rollick Ice Cream, said,

We are delighted to add Locus’ solution to our logistics system. It is important to improve the visibility of the fleet, especially during the peak season. Locus ensured that our fleet was efficiently used, while also saving logistics cost by 6 to 8%.

Further commenting on the collaboration, CEO & Co-Founder of Locus, Nishith Rastogi said,

Our goal is to empower our customers to solve logistics challenges, take faster decisions and help reduce wastage in their logistics chain, be it man-power, space or fuel, by leveraging our technology.

Locus aims at a low-carbon economy by reducing fuel consumption and improving operational efficiency. The startup says that it harnesses the recent advancement in mapping information & computational methods to automate decisions, even in the extreme complex real world scenarios of this developing world.

Founded in mid-2015 by Geet Garg and Nishith Rastogi, the core team at Locus comprises of ex-AWS engineers and PhDs from Tata Institute of Fundamental Research, Indian Institute of Science, and Carnegie Mellon University with rich experience in data science, mobile, and design.

Last year, the company raised over $2.75 million (Rs 18.3 crore) in its Series A funding round led by Exfinity Venture Partners, to strengthen its platform and expand its team.

The company is currently automating intra-city logistics for leading companies including Urban Ladder, Lenskart, Quikr, Licious and 1mg. It provides route planning, 3D container packing, tracking & advanced analytics, all in one extensible platform, with the aim of automating all human decisions involved in transporting a person or package between any two points.