Dustin McIntire

Special Guest Blog Post written by Sofia Rivas Herrera   One of my greatest joys is travelling around the world; learning about other cultures, ways of living and traditions. I often say that “everything is supply chain”, and this topic is no exception. When we plan a trip, we first start by defining origin and destination followed by when we want to travel and how. Then we evaluate how much we want/can spend and identify our non-negotiables, which start reducing the horizon of combinations and options we have. Does this sound familiar? In my mind this is very similar to processes within planning, procurement, network optimization and supply chain strategy. Here are 5 questions travel-related that I loved to be asked to help prove my point of this connection with supply chain:   What is the best way to plan a trip?   Planning a trip is no different than planning a new distribution model or redesigning your network. This process can look a bit like this: Define your route; origin and destination Identify your constraints: budget, time available, level of convenience and comfort, Run your optimization scenarios From there, you identify available lanes, available modes of transport, and available…

In today’s increasingly complex global supply chain landscape, Tom Moore keeps his message refreshingly straightforward: ProvisionAI helps large companies discover hidden costs and eliminate them. Organizations such as Procter & Gamble, Nestlé, and Unilever have leveraged the company’s technology to uncover and eliminate inefficiencies—particularly in transportation and warehousing—that traditional systems fail to detect. The outcome is significant and often delivers immediate savings. But Moore believes many of these problems stem from misunderstandings about the very technologies companies rely on.   Misnamed Systems & Misaligned Expectations Before the interview officially began, Moore reflected on the surprisingly inaccurate names assigned to modern supply chain technologies. ERP systems rarely plan resources across the enterprise, despite what their name suggests. Warehouse Management Systems, while certainly used in warehouses, don’t actually “manage” much at all. People behind keyboards still make most of the critical decisions. This disconnect in terminology shapes faulty expectations. Many organizations believe their planning systems will truly plan the supply chain, yet most tools merely react to demand signals. If ABC Company orders ten cases, the system automatically replenishes—without considering warehouse capacity, transportation availability, downstream implications, or cost-to-serve. Moore characterizes this as both an old problem and a new one, and it…