Resilient Supply Chain — How Leaders Keep Business Moving

AI and Data: The New Powerhouses of Sustainable Supply Chains with Ganesh Gandhieswaran

Tom Raftery / Ganesh Gandhieswaran Season 2 Episode 42

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In this episode of the Sustainable Supply Chain podcast, I sit down with Ganesh Gandhieswaran, Co-Founder and CEO of ConverSight, to dive into how data and AI are transforming sustainable supply chains. Ganesh’s extensive background in data analytics for manufacturing and supply chains sets the stage as we discuss how AI and data integration can offer deep insights for companies aiming to meet sustainability targets.

Ganesh explains how today’s data-rich environment provides new opportunities for companies to make informed decisions about carbon emissions, resource usage, and overall environmental impact. Yet, he’s quick to highlight the challenges – from integrating data across global suppliers to ensuring data quality and consistency. With AI and predictive analytics, Ganesh demonstrates how companies can not only monitor but actively manage sustainability efforts, predicting issues before they arise and adjusting strategies on the go.

We also touch on the importance of data visualisation tools in making sense of complex sustainability metrics, enabling leaders to see patterns and act quickly. From predictive maintenance to the transition toward a circular economy, Ganesh’s insights show that technology can genuinely underpin a greener supply chain – but only if organisations take a structured, measurable approach. It’s an episode filled with actionable takeaways for any company looking to leverage data for a sustainable future.

Have a listen, and let me know your thoughts on LinkedIn or Twitter (@tomraftery).

 If disruption hit tomorrow, would you know where your supply chain was most exposed? In 15 minutes my free scorecard helps you assess 27 resilience statements, calculate your score, and turn the result into three priorities and a 30 day action plan. You can download the scorecard free at tomraftery.com/scorecard.

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