Uploaded December 2025 | Updated September 2026, 2 weeks ago
If your supply chain data is wrong, every “smart” system you layer on top just helps you make the wrong decision faster. So what happens when AI meets messy, contradictory, outdated data?
In this episode of the Resilient Supply Chain Podcast, I’m joined by Andy Kohm, co-founder and CEO of SCIP, a supply chain intelligence platform built to clean, connect, and unify the data foundations most organisations quietly struggle with. Andy’s career started in R&D engineering, where he learned the hard truth: the biggest supply chain risks don’t begin with geopolitics or resource shortages — they begin in your systems.
We dig into the uncomfortable reality that bad data now drives more disruptions, emissions, and unnecessary cost than global shocks do. From mismatched lead times to duplicated suppliers, orphaned BOM records, and manual spreadsheets haunting critical planning decisions, Andy lays out why so many “digital transformations” fail before they even start.
You’ll hear how clean, verified, connected data instantly cuts emissions by eliminating avoidable air freight. We break down why planners stop trusting systems, why control towers fall over without a single source of truth, and why 40% of AI initiatives will fail in the next 18 months — not because the models are broken, but because the data is. And you’ll learn how component-level risk really works: why a 5-cent capacitor can be the most dangerous thing in your entire product portfolio.
This conversation is a reality check for any leader betting on AI, automation, or resilience. If you’re serious about risk, emissions, or operational excellence, start here. The foundations matter far more than the flash.
What’s your take? Let me know below 👇
🔗 LISTEN & FOLLOW
🎧 Full podcast archive: resilientsupplychainpodcast.com
🔔 Subscribe for weekly episodes
👍 Like, comment, share — it really helps others find the show
⏱️ CHAPTERS / TIMESTAMPS
00:00 – The danger of bad data (Andy’s opening line)
00:14 – Welcome & guest introduction
00:28 – What SCIP actually does
01:21 – Andy’s path from R&D to supply chain
02:09 – Where supply chains quietly break
03:26 – COVID’s forgotten data blind spots
04:10 – The KPI Andy would ban
05:01 – What clean, connected data really is
05:53 – Why master data collapses in the real world
07:12 – The biggest myth about control towers
08:02 – The first 90-day move to fix a broken tech stack
09:05 – Balancing price, risk, and lead time
09:51 – AI: What works today — and what’s still theatre
11:52 – Human-in-the-loop sourcing done right
13:33 – Forced labour due diligence: reality vs hope
14:53 – Component-level risk explained
16:15 – Agility vs auditability when tariffs shift
17:21 – How cleaner data cuts emissions fastest
18:48 – Why planners stop trusting systems
20:25 – Change management: what works (and what fails)
22:49 – A real example: saving a client during a component shortage
24:01 – What to modernise, what to layer on, what to leave alone
25:28 – The next capability planners will take for granted
27:28 – Where supply chain tech is heading next
28:43 – Who Andy would choose as the champion of resilience
29:15 – Final thoughts + where to find Andy
If your supply chain data is wrong, every “smart” system you layer on top just helps you make the wrong decision faster. So what happens when AI meets messy, contradictory, outdated data?
In this episode of the Resilient Supply Chain Podcast, I’m joined by Andy Kohm, co-founder and CEO of SCIP, a supply chain intelligence platform built to clean, connect, and unify the data foundations most organisations quietly struggle with. Andy’s career started in R&D engineering, where he learned the hard truth: the biggest supply chain risks don’t begin with geopolitics or resource shortages — they begin in your systems.
We dig into the uncomfortable reality that bad data now drives more disruptions, emissions, and unnecessary cost than global shocks do. From mismatched lead times to duplicated suppliers, orphaned BOM records, and manual spreadsheets haunting critical planning decisions, Andy lays out why so many “digital transformations” fail before they even start.
You’ll hear how clean, verified, connected data instantly cuts emissions by eliminating avoidable air freight. We break down why planners stop trusting systems, why control towers fall over without a single source of truth, and why 40% of AI initiatives will fail in the next 18 months — not because the models are broken, but because the data is. And you’ll learn how component-level risk really works: why a 5-cent capacitor can be the most dangerous thing in your entire product portfolio.
This conversation is a reality check for any leader betting on AI, automation, or resilience. If you’re serious about risk, emissions, or operational excellence, start here. The foundations matter far more than the flash.
What’s your take? Let me know below 👇
🔗 LISTEN & FOLLOW
🎧 Full podcast archive: resilientsupplychainpodcast.com
🔔 Subscribe for weekly episodes
👍 Like, comment, share — it really helps others find the show
⏱️ CHAPTERS / TIMESTAMPS
00:00 – The danger of bad data (Andy’s opening line)
00:14 – Welcome & guest introduction
00:28 – What SCIP actually does
01:21 – Andy’s path from R&D to supply chain
02:09 – Where supply chains quietly break
03:26 – COVID’s forgotten data blind spots
04:10 – The KPI Andy would ban
05:01 – What clean, connected data really is
05:53 – Why master data collapses in the real world
07:12 – The biggest myth about control towers
08:02 – The first 90-day move to fix a broken tech stack
09:05 – Balancing price, risk, and lead time
09:51 – AI: What works today — and what’s still theatre
11:52 – Human-in-the-loop sourcing done right
13:33 – Forced labour due diligence: reality vs hope
14:53 – Component-level risk explained
16:15 – Agility vs auditability when tariffs shift
17:21 – How cleaner data cuts emissions fastest
18:48 – Why planners stop trusting systems
20:25 – Change management: what works (and what fails)
22:49 – A real example: saving a client during a component shortage
24:01 – What to modernise, what to layer on, what to leave alone
25:28 – The next capability planners will take for granted
27:28 – Where supply chain tech is heading next
28:43 – Who Andy would choose as the champion of resilience
29:15 – Final thoughts + where to find Andy
