Resilient Supply Chain The Maths of Resilience: What Happens When Algorithms Drive the Last Mile
In this debut episode of the Resilient Supply Chain Podcast, I chat with Rich Savoie, Co-founder and CEO of Adiona, about how data-driven optimisation and electric fleets are transforming last-mile logistics. Rich’s work with giants like Coca-Cola and Australia Post proves that sustainability and resilience aren’t trade-offs, they’re multipliers.
You’ll hear how Adiona’s algorithms cut drive time by nearly half, reduced trucks by 15%, and delivered major emissions savings, all without slowing operations. We dig into why the “last mile” is the shortest leg of the supply chain but the dirtiest, and how real-time data, human-centred AI, and electrification can flip that equation. You might be surprised to learn how labour costs, not fuel, dominate delivery economics, and why getting data transparency right could unlock exponential efficiency.
We also touch on the future: from cargo bikes to quantum computing, and why Rich believes fleets that fail to embrace EVs now will be left idling on the kerb.
🎙️ Listen now to hear how Rich Savoie and Adiona are rewriting the rules of sustainable, resilient last-mile logistics — one optimised route at a time.
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.