Omnifold Blog
Every planning system predicts by extrapolating history. That's why they miss the structural changes that matter most. Here's why prediction and understanding aren't the same thing, and what it costs when you confuse them.
Planning is an optimization problem, not an automation one. Our $30M Series B funds the only platform that trains an AI model unique to each customer's supply chain.
Eric Falkenmayer, Senior Manager of Demand Planning at Not Your Mother's Hair Care, joined Garrett Long on a recent webinar hosted by Consumer Goods Technology.
Annie Anthony, Director of Operations at Caliwater, joined Omnifold’s CMO Garrett Long on the Innovation Stage at CSCMP’s Edge conference in 2025.
The supply chain environment entering 2026 is marked by continued uncertainty: shifting customer demand, supplier variability, evolving global policies.
The supply chain environment entering 2026 is marked by continued uncertainty: shifting customer demand, supplier variability, evolving global policies.
We've written elsewhere about why common tools like spreadsheets fail at demand planning. The short version: they force you to collapse complexity into averages, freeze assumptions at the moment you enter them, and can't model the millions of potential scenarios in modern supply chains.
You've probably heard about self-driving cars navigating city streets, and you might have asked ChatGPT to help draft you an email. These are impressive systems, but there's another category of AI entirely – superintelligent systems that solve problems no human could tackle alone.
An overview of why spreadsheets are the right tool for your long term demand planning goals.
This blog shares details on why Claude failed while trying to manage a vending machine.
ChatGPT was not trained to do demand forecasting. Learn why that matters for you and your supply chain.
See our vision of how demand planning will change when teams use Omnifold.