Christine Barnhart

Special Guest Blog Post written by Parabola Founder & CEO, Alex Yaseen   Operators are under pressure. They’re expected to move faster, do more with less, and somehow keep everything running smoothly while their systems, tools, and data are a mess. Now, AI is adding a whole new layer. On one hand, it’s exciting. The potential is real. On the other, a lot of teams feel stuck. They know they should be using AI, but they’re not sure where it fits into their day-to-day work. These are the five questions I get asked most often—whether someone’s trying to get started with automation, or trying to figure out how AI actually helps. 1. Can we automate this, or is it too messy? This question usually comes from someone deep in a spreadsheet that was never meant to scale. The short answer is: yes, you can probably automate it. But the longer answer is that you’ll need to rethink the process first. AI can help summarize, transform, and clean data—but it won’t fix a broken workflow. That’s on you. The best teams pair structured automation with lightweight AI to get leverage. Think: using rules and logic to standardize a workflow, and AI…

Special Guest Blog Post written by Jeff Echel and Steve Lykken with e2open   Supply chain planners in high-tech don’t just manage shipments; they’re crisis managers, data detectives, and sometimes, referees in a high-stakes game of inventory tug-of-war. Why do these planners find themselves huddled in “war rooms,” surrounded by spreadsheets and urgent emails? It starts with relentless pressure: customers expect rapid, reliable service, but the reality is a maze of long lead times, outsourced manufacturing, and unpredictable global logistics. Securing critical components can take months, and a single misstep, like overstocking or missing a shipment, can ripple through the business, impacting revenue and margins. The chaos: War rooms and spreadsheet battles Add to that, the complexity of forecasting demand. Planners reconcile noisy, inconsistent data from retailers and distributors, often with little visibility, into . Forecasts are built, torn down, and rebuilt, sometimes manually, as teams try to align bottom-up channel data with top-down financial targets. Meanwhile, supply plans are constantly threatened by shortages, excess inventory, and last-minute changes. When demand surges or supply is disrupted, channels compete for limited stock, sometimes “stealing” from each other, and sometimes winning simply by being the loudest voice in the room. All of…