In today’s world, where sustainability is becoming increasingly critical, businesses seek ways to reduce waste and minimize their environmental footprint. One practical approach gaining traction is the circular economy. At its core,
Technologies like artificial intelligence (AI) and machine learning (ML) will continue to change the Service Supply Chain at an unprecedented rate, so what moves can you make now to capitalize on tomorrow’s opportunities?
These days we expect information to materialize at our fingertips, and it usually does. From Google to ChatGPT, nuanced answers are just a few keystrokes away. Accurate answers? That’s another story. Google results are only as solid as the content that already exists online, and ChatGPT’s uncanny outputs draw upon pre-existing material.
If you work in Service Parts Management, you and your industry are special. No, really. Just try to run your day-to-day operations on a standard Enterprise Resource Planning (ERP) system and you’ll see why you’re the underdog of the manufacturing world.
While each industry has its unique challenges when it comes to planning service parts, there are a common set of questions that always seem to pop up during discovery sessions, solution demonstrations, and solution overviews. They typically center around suppliers, distribution or warehouse operations, and logistics
Everyone has experienced the effects of supply chain disruption these last few years, from scanty supermarket shelves to strangely expensive construction materials. But if you live in the Service Supply Chain world, you also know it does not take a pandemic to yield empty shelves.