I am the Vice President of Supply Chain Services at ARC Advisory Group, a leading industry analyst and technology consulting company. I engage in quantitative and qualitative research on supply chain management technologies, best practices, and emerging trends.
Kinaxis is a leading provider of supply chain solutions. Its Kinexions 2024 user conference ended Wednesday. Like many enterprise application providers, it had a story to tell about artificial intelligence. It is a good story. And a refreshingly honest explanation.
Newer planning solutions create plans across different planning horizons in a way that they could not in the past. Historically, supply chain execution schedules focused on what would be produced day-by-day or week-by-week in the coming month. Supply chain planning was a month-by-month fulfillment plan that extended out 24 months.
Supply chain planning, however, has always been more than optimization. Heuristics—a hierarchy of rules—have been used to create some plans where the problem was too complex to optimize. Kinaxis has patents around the combination of heuristics and optimization. This combination limits the solution envelope in a way that allows vastly more options to be considered.
Yes, Kinaxis executives agree that generative AI can improve supply chain solutions. In particular, genAI can create user experiences an order of magnitude better than past interfaces. This is important; planning interfaces can be difficult to navigate and use.A good user experience built on top of a bad planning engine just allows a company to do stupid things faster. One executive refers to this as “propagating chaos.” The most important math for supply planning remains optimization.
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