Decathlon, a global sporting goods retailer, is looking to grow its market share in major developing nations, including India, by improving its delivery and logistics management with data analytics and machine learning.

The France-based retailer will be using the technology expertise of Alibaba and Paytm-backed LogiNext, a SaaS-based logistics and field workforce optimisation start-up based out of Mumbai.

LogiNext will help Decathlon expand its distribution network in several developing markets, to grow its business outside its biggest market Europe, using machine learning algorithms that are designed to read traffic and by leveraging historical delivery movement information for weather patterns.

LogiNext has also set-up a unique solution set that offers logistics movement visibility across geographies for the sporting goods giant, said Loginext’s founder and CEO Dhruvil Sanghvi.

Optimising operations

Sanghvi added that, with LogiNext’s technology, Decathlon will be able to track fleet vehicles through a centralised controlling dashboard and can plan their delivery routes and estimated time of arrivals through real-time ground-level location analytics. “This would help them eliminate bottlenecks, both predictable and unpredictable, such as planning for the workforce for loading and unloading around the regularly updated estimated time of arrivals,” Sanghvi added.

The €11-billion company is present in 28 countries across the world and is expanding its base in Southeast Asia.

The future of sporting goods manufacturing and usage is set to increase multi-fold as the demand for sports merchandise has grown exponentially in the past few years. Delivery management and optimisation will play a key role in bridging the supply and demand in this industry, Sanghvi added.

LogiNext is also providing logistics-related solutions to global players such as German logistics company DHL, Coca-Cola, ride-hailing firm Grab, United Spirits, Agility Logistics, Procter & Gamble and Unilever among many online retailers in India.

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