Supply Chain Data Quality and Resilience Explained

Send me a message What if the biggest risk in your supply chain isn’t geopolitical shocks or new regulations, but the data you trust every single day? This week, I’m joined by Andy Kohm , co-founder and CEO of SCIP , a supply chain intelligence platform built to clean, connect, and operationalise data across ERPs, PLMs, control towers, and the spreadsheets nobody admits to using. Andy has spent more than a decade wrestling with the messy reality of supply chain data, and his insights couldn’t be more relevant as volatility rises and digital transformation hits its limits. In this conversation, you’ll hear how bad data quietly drives bad decisions - from inflated lead times to unnecessary expedites to risk scores that collapse under scrutiny. We break down why most organisations can’t agree on something as simple as the “source of truth,” and how that single failure cascades into higher emissions, higher costs, and planners who simply stop believing the system. You might be surprised to learn how often companies pay 10x for components they could have sourced at the normal price - simply because the underlying data was wrong. And we dig into where AI can genuinely help today (contract intelligence, grunt-work automation) and where it’s still pure theatre without clean inputs. 🎙️ Listen now to hear how Andy and SCIP are reshaping the future of resilient, sustainable, data-driven supply chains. Podcast supporters I'd like to sincerely thank this podcast's generous Subscribers: Christian Sederberg Kristal Maharaj Alicia Farag Kieran Ognev And remember you too can become a Resilient Supply Chain+ subscriber - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one and give you access to the full back catalog of over 460 episodes. Podcast Sponsorship Opportunities: If you/your organisation is interested in sponsoring this podcast - I have several options available . Let's talk! Finally If you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn , or send me a text message using this link . If you liked this show, please don't forget to rate and/or review it . It makes a big difference to help new people discover it. Thanks for listening.