About SCMotif
01
Vision
As of September 2026
Geopolitical tensions, nationalist tendencies and ecological disasters around the world are putting the tightly interconnected global supply chains under pressure. What effect AI will have on them is still hard to foresee, but it is already clear that information density and speed are rising. Agentic AI accelerates this further, because it offers companies in many areas an almost endless workforce that never rests.
To hold up in a world this volatile and fast, companies need agility. It comes from new, debureaucratized processes and a new form of intelligence that is equal to these challenges.
We see this intelligence in a symbiosis of human and AI: The human carries the responsibility for strategy and execution, and the AI lets them live up to that responsibility by gathering information, aggregating it and helping to put it in context. It is always up to date, can run and compare scenarios, and can, for example, trace the effects of a supplier problem all the way to the customer and point out alternatives.
SCMotif was founded by Lovis Anderson in Berlin.
I studied mathematics at TU Berlin and researched machine learning for gas network optimization at the Zuse Institute. Then I moved to industry: first optimizing production planning at Deutsche Bahn, then steering the development of supply chain network design software as product owner at OPTANO, a Kearney company.
Supply chain questions have not let go of me since. There is a lot of dormant potential in the field. Anyone who unlocks it and can give well-founded answers quickly has real impact. When an answer takes three months, most companies would rather decide on instinct.
Agentic coding is what made me realize the time is right for new tools in supply chain. I started using those tools early and was struck that anyone could suddenly drive a complete workflow that used to need specialists.
An analytics pipeline is code. Data wrangling is code, analysis is code, the report and the dashboard are code. Models today can do all of it. What is missing is the interface: the tools that exist are aimed at humans clicking through them, but none at an agent that works through the tasks and a human who checks the result. That is the gap SCMotif closes.