How Mahindra is Achieving Real AI Results in its Supply Chain

Artificial intelligence, machine learning and other advanced technologies are making it possible for the supply chain to become truly autonomous — the ability to do dynamic segmentation of the portfolio, sense and predict disruptions, and self-correct in real time in order to make supply chains more resilient, agile and cost efficient. But how can the typical company achieve this ambitious vision?

August 2, 2020

Date: Aug 25, 2020

Artificial intelligence, machine learning and other advanced technologies are making it possible for the supply chain to become truly autonomous — the ability to do dynamic segmentation of the portfolio, sense and predict disruptions, and self-correct in real time in order to make supply chains more resilient, agile and cost efficient. But how can the typical company achieve this ambitious vision?

Key topics include: The Autonomous Supply Chain Journey Mahindra & Mahindra Digital Transformation Journey – Mahindra and Mahindra needed to enhance its traditional segmentation processes and tools based on subjective classification criteria and rules of thumb cut-off boundaries - leading to inefficient allocation of inventory and less than optimal service levels for the customer. In addition, the company relied on manual Excel spreadsheets to create demand and supply plans that were inadequate due to the complexity and scale of business. Mahindra and Mahindra partnered with BlueYonder to gain greater agility and responsiveness, improve customer service, and reduce inventory costs at the same time. Strategies being leveraged by customers to make the supply chain lean, resilient, agile and responsive by shifting the Lean vs. Resilience curve End-to-end supply chain visibility Scenario planning Dynamic Segmentation Supply Chain Risk Mitigation

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