'The Power of Big Data' CJ Daehan Tongun, 10% Increase in Truck Operation Efficiency in India

Transport vehicles operated by CJ Dasul, a global subsidiary of CJ Logistics

[Asia Economy Reporter Choi Dae-yeol] CJ Logistics announced on the 8th that it transferred the transportation consolidation algorithm developed using big data analysis techniques to its India-based affiliate CJ Dasul, improving freight vehicle operation efficiency by more than 10%.

The transportation consolidation algorithm system analyzes big data from large transport vehicles traveling between logistics centers and clients to provide the most efficient transportation routes and operation methods. It was developed by the TES Logistics Technology Research Institute. In South Korea, it is applied to various logistics businesses requiring transportation capacity, such as parcel delivery and contract logistics. The technology transfer to CJ Dasul began last year.

CJ Dasul is India's largest transportation company, operating over 2,000 transport vehicles daily across the country. While the previous method was a simple temporary dispatch system based on logistics operators' experience, the new method optimizes the logistics network by analyzing big data on vehicles traveling throughout India, including departure and arrival points, vehicle types, and routes.

By enabling advance prediction, the rate of empty vehicle runs on the same routes has been minimized. Instead of two empty vehicles traveling between New Delhi and Mumbai, a fixed route can now be operated with just one vehicle based on predicted information. This efficient vehicle operation also reduces carbon emissions. A company official stated, "We are strengthening our core business competitiveness based on robot, artificial intelligence, and big data technologies."

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