Thursday, 17 February, 2022

Elasticrun AI case study: Logistics and commerce with AI

Elasticrun –  Logistics/commerce – India

Elasticrun is a commerce and logistics company established in India to help supply grocery stores with products. The data-centric company uses AI to help streamline the process.

The problem

In India, there are over 12 million grocery store owners. Most are small independents travelling miles to wholesale businesses needing to know the stock availability.

The solution

ElasticRun has designed a network where wholesale and retail companies can trade and the crucial logistics/commerce between parties.

The AI results

ElasticRun uses Microsoft Azure, Kubernetes and Microsoft Azure to automate the logistics from product ordering to delivery. With this technology, they handle orders from over 200,000 stores from 19,000 villages. The plan is to grow this to 2 million stores over the next year.

Thoughts and insights

The key to Elasticrun success is harnessing the power of data. Having a good data strategy and infrastructure can help transform a business. This is an excellent example of using AI in the FMCG (Fast Moving Consumer Goods) market. Azure can handle vast amounts of data, saving massive amounts of time and resources throughout the product chain. I can include other forms of data, i.e. weather, news to anticipate future issues and risk analysis.

Technology areas covered

  • AI logistics
  • AI warehousing
  • AI transportation
  • AI eCommerce
  • AI cloud stack
  • Data management

More information: More about the Elasicrun case study and Elasticrun website

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One of the hardest things in business is to imagine what is possible with new technology. The case studies are designed to digest projects around the world using the latest technology and my insights. It is also showcasing the companies and their products, services and innovation. Just so you know, we have no connection with companies named unless stated.

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