Lovis Anderson
Better supply chain
decisions.
Supply Chain Tradeoffs — the series
Safety Stock vs. Service Level
Animated explainers on supply chain fundamentals. A new episode every couple weeks.
Work with me
AI × Supply Chain Consulting
Network design, inventory, and routing questions answered with optimization and AI. From a first assessment of your data to a working analysis your team can rerun.
Agentic Engineering Kickstart
A half-day workshop for development teams adopting coding agents. Your developers delegate a real task, test and review the result, and keep clear ownership of the code.
Workshop details →About
I'm a mathematician turned product builder. I studied mathematics at TU Berlin, then spent a couple of years at the Zuse Institute researching machine learning for gas network optimization.
From there I went to industry: production planning at Deutsche Bahn, then product owner for supply chain network design software at OPTANO, a Kearney company. That's where I fell for supply chain questions: so much potential sits unanswered, and working on it has real impact.
Today I'm building SCMotif, agentic AI for supply chain decisions. I create videos on supply chain fundamentals and consult on AI and supply chain.
The company I'm building
SCMotif makes supply chain network decisions accessible. Questions like where to place the next warehouse or whether to route shipments via hub or direct usually take a consulting project to answer, so most everyday network decisions are still made on experience and spreadsheet estimates.
SCMotif changes that. An agentic AI interface works through the data and translates the business question into an analysis path, while tested optimization algorithms do the computation. Every analysis stays auditable because the numbers come from the algorithms, not the language model.
scmotif.com ↗Get in touch