Demand Forecasting in Supply Chain

[Silfia Nixia]

Hey everyone, I’ve been dealing with some weird forecasting results lately and wanted to see if others have experienced this too. My team recently shifted to a new inventory system, and suddenly our demand forecasts look way less reliable — products we thought would sell fast aren’t moving, and some slow items are flying off shelves. I was digging around for explanations and found this article that breaks down how demand forecasting works in modern supply chains and what factors to consider: https://www.trinetix.com/insights/demand-forecasting-in-supply-chain . It’s helped me think about how we might need to rethink our inputs and models. Has anyone had to overhaul their approach when old methods just stopped working?

[Faraon23]

I hear you — we went through something similar when we introduced a new sales channel and our old forecast models just didn’t see it coming. One thing that helped us was involving cross-functional data — not just sales history, but marketing campaign schedules and customer behavior signals too. It made our forecasts feel more grounded in reality instead of just guessing based on past numbers.

[OlofMeister]

Just popping in here because I find this topic fascinating even though I’m not knee-deep in it. In my company, when things get misforecasted, it usually ends up as “firefighting mode” for the supply team, which looks super stressful. Reading about how forecasting combines data and trend analysis makes me appreciate that there’s a science behind it. Seems like a puzzle that’s fun and frustrating at the same time!

[Author]

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