A buyer I talked to last year told me they'd just written off $340,000 in seasonal overstock because their forecast was built on the previous two years of sales data — which included a pandemic year and a supply shock year. Two bad inputs, one very expensive mistake. That's not a technology problem, that's a data problem disguised as a process problem, and it's more common than people admit. What good AI-powered forecasting actually does is pull in signals that a spreadsheet

Hey Warehouse and Operations Folk! Peak season is coming whether you're ready or not. Getting your seasonal stock planning right can mean the difference between record profits and costly stockouts (or equally expensive overstock nightmares). Here's your practical checklist to nail seasonal inventory planning: 1. Historical Data Analysis Features: • Review last 2-3 years of seasonal sales patterns • Identify peak demand periods by week/month • Track stockout incidents and thei