Resilient Supply Chain

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What if the real reason transformation stalls isn’t the tech, but the fact that everyone is making decisions with a different rubric?
And what happens when you start training AI on processes built 30 years ago?
In this episode of the Resilient Supply Chain Podcast, I’m joined by Don Mahoney, Global Head of Products and Innovation at SNP Group. Don has had a ringside seat to some of the world’s largest enterprise transformations, and he brings a sharp perspective on what actually drives supply chain resilience, business agility, and better decision-making when the pressure is on.
We get into why transformation is no longer a one-off event, but an ongoing capability, and why so many firms still get trapped between “lift-and-shift” modernisation that delivers weak ROI and greenfield ambitions that exceed what the business can absorb. You’ll hear how Don thinks about the sweet spot in the middle, why organisational change is often the real constraint, and why “your plan, my plan, our plan” matters far more than most people admit.
You might be surprised to learn that 80-something percent of enterprise data sits outside ERP systems, much of it unstructured, which makes data quality, visibility, and trust far more strategic than they look on a slide. We also break down one of my favourite lines in the episode: the shift from running a transaction machine to building a decision machine. That’s where the real value is.
🎙️ Listen now to hear how Don Mahoney and SNP Group are rethinking supply chain resilience, data, visibility, and transformation in an AI-driven world.
Support the show

Podcast supporters
I'd like to sincerely thank this podcast's generous Subscribers:
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 bonus episodes of topical, timely supply chain resilience analysis.

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.

Send me a message
If your AI strategy can’t show hard ROI, it’s not a strategy at all. And if your supply chain still runs on phone calls, emails, and patchy partner data, resilience is weaker than it looks. 
In this episode, I’m joined by JP Wiggins, CEO of 1Logtech, co-founder of GLog which became Oracle Transportation Management, co-founder of 3G TMS, and a former SAP transportation leader. JP has spent decades in logistics, transport, and TMS, so when he says the real bottleneck in supply chain resilience isn’t intelligence but integration, it’s worth paying attention. 
We break down why so many firms are still chasing AI headlines while the real work sits lower down the stack: clean data, connected trading partners, and operational visibility that actually works when disruption hits. You’ll hear why AI in supply chain is “a tool, not a strategy”, and why boards demanding an AI plan without hard ROI are often asking the wrong question. 
You might be surprised to learn that integrating a single carrier can still take three months and cost around $10,000 in dev work. We also get into the absurd but revealing story of “FOB” meaning not Free On Board, but “fruit on bottom”, a perfect example of why supply chain visibility, data normalisation, and logistics integration are still such stubborn problems. And yes, we talk about why modern supply chain resilience still collapses into manual check calls far more often than anyone likes to admit. 
🎙️ Listen now to hear how JP Wiggins and 1Logtech are rethinking supply chain resilience, visibility, data, and logistics integration.
Support the show

Podcast supporters
I'd like to sincerely thank this podcast's generous Subscribers:
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 bonus episodes of topical, timely supply chain resilience analysis.

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.

Send me a message
What happens when last-mile delivery stops being a logistics function and starts becoming a strategic differentiator?
It changes how you think about cost, resilience, sustainability, and even customer retention.
In this week's episode of the Resilient Supply Chain Podcast, I’m joined by Nishith Rastogi, Founder and CEO of Locus, to explore why last mile has become one of the most consequential decision layers in modern supply chains. For leaders focused on supply chain resilience, sustainability, risk, data, and visibility, this matters because delivery is no longer just about moving goods. It’s about making better decisions, faster, in environments where complexity keeps rising and customer tolerance keeps falling.
We break down why traditional TMS and routing models struggle when delivery networks span stores, warehouses, captive fleets, 3PLs, gig capacity, and rising service expectations. You’ll hear why “more data” is not the answer on its own, and why the real advantage now comes from turning that data into real-time decisions that improve cost, service, and emissions in parallel.
We also get into the growing role of AI in logistics, the limits of rules-based automation, and why resilience increasingly depends on optionality, adaptability, and reducing dependence on tribal knowledge. 
One of the sharpest ideas in the episode is this: if you miss a linehaul slot, you lose a day; if you miss a customer delivery slot, you may lose the customer.
🎙️ Listen now to hear how last-mile logistics is reshaping the future of resilient, sustainable supply chains.
Support the show

Podcast supporters
I'd like to sincerely thank this podcast's generous Subscribers:
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 bonus episodes of topical, timely supply chain resilience analysis.

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.

Send me a message
If your safety metrics are improving, are your people actually safer? Or are you just getting better at measuring the wrong things?
In this episode of the Resilient Supply Chain Podcast, I’m joined by John Dony, CEO and co-founder of the What Works Institute, and Mike Swain, Technical Enablement Manager at Evotix, to unpack a stubborn problem hiding in plain sight: why serious injuries and fatalities remain frustratingly hard to reduce, even as traditional safety metrics appear to improve. In a world of tighter regulation, more fragile operating models, and rising scrutiny across global supply chains, this is a resilience issue, a risk issue, and very much a leadership issue.
We dig into why lagging indicators can create a false sense of control, and why better reporting can actually be a sign that the truth is finally surfacing. You’ll hear how Mike saw incident reporting jump by 800% after better systems were introduced, and why that was good news, not bad. We also break down why the classic safety triangle often fails to predict serious harm, especially in complex supply chains shaped by contractors, seasonal labour, handoffs, and fragmented accountability.
We also explore where AI, data, visibility, and governance genuinely add value, and where hype still outruns reality. You might be surprised to learn that one of the sharpest lines in the episode is John’s view that if organisations want AI to work, they need a time machine to go back and get their data right first.
🎙️ Listen now to hear how John Dony, What Works Institute, and Evotix are rethinking supply chain resilience, safety, risk, and data from the ground up.
Support the show

Podcast supporters
I'd like to sincerely thank this podcast's generous Subscribers:
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 bonus episodes of topical, timely supply chain resilience analysis.

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.

Send me a message
Is your supply chain one nut away from failure?
In this episode of the Resilient Supply Chain podcast, I’m joined by Jonathan Doller, Senior Solution Consultant at Logility (now part of Aptean), to explore how AI is reshaping supply chain resilience - beyond the hype, and into real operational impact. At a time of tariff shocks, port disruptions, climate risk and talent pressure, the question isn’t whether to use AI, but how to use it intelligently.
You’ll hear how AI can distinguish correlation from causation in forecasting - including a case where a company stopped discounting a Mother’s Day product and saw no drop in demand, only improved margins. We break down why constrained inventory allocation may be AI’s real superpower, and how agentic AI can connect demand, supply, and distribution decisions across the network. And you might be surprised to learn why Jonathan compares fragile supply chains to the “Jesus nut” on a helicopter, a single point of failure with no redundancy.
We also explore supplier visibility, digital readiness assessments, anti-fragility, and why AI should be treated as infrastructure, not a buzzword.
🎙️ Listen now to hear how Jonathan Doller and Logility are redefining data-driven, resilient, sustainable supply chains.
Support the show

Podcast supporters
I'd like to sincerely thank this podcast's generous Subscribers:
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 bonus episodes of topical, timely supply chain resilience analysis.

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.