Episode Details

Send me a message

Supply chain planning can often seem like a lot of trade-offs. Genlots is a company using Reinforcement Learning to optimise the triangle of cash, (inventory working capital and so on), costs, (prices,  delivery, transportation, etc.), and service (customer service, or the service that you give to your production).

I invited Simon Schenker, Founder, and Co-CEO at Genlots to come on the podcast to tell me more.

We had a really interesting chat covering the triangle, how Genlots optimises for that triangle, and how reinforcement learning helps that process out.

It was a fascinating conversation. I learned loads. I hope you do too.

If you have any comments/suggestions or questions for the podcast - feel free to leave me a voice message over on my SpeakPipe page or just send it to me as a direct message on Twitter/LinkedIn. Audio messages will get played (unless you specifically ask me not to).

And don't forget to also check out the 2021 MPI research on Industry 4.0 to find out how to increase productivity, revenues, and profitability for your operations. This global study examines the extent to which manufacturers deploy Industry 4.0 in their business and the benefits it brings.

And 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.

Support the show

Podcast supporters
I'd like to sincerely thank this podcast's generous Subscribers:

• Alicia Farag
• Kieran Ognev
• Gary Lynch

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.

🎤 Looking for a keynote speaker on supply chain resilience, AI, and sustainability?
I help leaders understand the forces reshaping global supply chains, from geopolitical disruption and climate risk to AI and real-time decision-making. 

Download my Speaker Pack: https://tinyurl.com/spkrpck

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 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.