Horizon Solutions

83% of companies have spent $3M+ on planning automation. Gartner's forecast for what that buys by 2030... 5% of them letting AI make even 1 in 10 planning decisions. Most people are reading that as an AI problem. I think it's a hiring problem. Think about the last good planner you hired. Smart, fast, great references. Did you hand them the quarterly S&OP on day one? No. You gave them the boring stuff. Safety stock on C-items. The reorder that happens every Tuesday. You watched. When they were right 40 times in a row, you stopped checking. When they were wrong, they could tell you why. Small decisions. Visible reasoning. A track record. Now look at how most AI planning gets rolled out. Big go-live. The board deck says "autonomous." The system touches the decisions that matter most on day one, with reasoning nobody on the floor can follow. Planners override it. The overrides become the real plan. And a $3M system becomes a very expensive suggestion box. The most useful number I saw last week wasn't Gartner's. It was Hormel's. Their planning COE lead said deployment overrides dropped 52% where they put functional champions in place. People moved that number. Not a new model. My read: the autonomy curve won't be bent by better algorithms. It'll be bent by the companies that track override rate as seriously as forecast accuracy, and start AI on the decisions nobody wants to make anyway. AI earns autonomy the way a new hire does. One boring decision at a time. What's the one planning decision in your org you'd happily never touch again? P.S. I'm having 5 conversations this month with supply chain leaders who are mid-rollout and watching their planners override the system. No pitch, just comparing notes on what's actually working. DM me "override" if that's you. #PlanningWithAI #SupplyChainPlanning

SAP IBP for demand planning doesn't win because it's the best fit for planners. It more often than not wins because procurement already has an SAP contract. Planners then go with it, and they spend the next year and a half rebuilding Excel workarounds around it, because changing one parameter needs a consultant and a change request. The tool that wins the RFP is not the tool that ends up getting used. This isn't really only about SAP, but it's what happens whenever procurement criteria are written around "fits our existing landscape" instead of "will the people who use it every day actually use it." If you're evaluating planning software right now, ask a different question than your RFP template does: not "does this integrate with what we already have," (which all modern systems do!), but maybe something like "will a planner still be using this, unmodified by a consultant, in eighteen months?" #supplychain #planning #sapibp #ERP #IT #AI

Most planners don’t spend their day planning. They spend it collecting signals. Emails. Teams. ERP updates. WhatsApp messages. Supplier escalations. Excel files. Modern supply chains are drowning in operational noise. We built Horizon Signals to change that. Instead of forcing planners to chase information, Horizon automatically connects systems, understands operational signals, and surfaces only what actually needs action. Because planners should work on decisions. Not notifications. #KnowYourWorth #WorkOnWhatsWorth #HorizonSignals #DecisionExecutionPlatform

21-34% less forecast error. That's less excess inventory and fewer stockouts. Live in 4 weeks, not 12 months. Schedule a call with a planning expert today!

Excel got your team this far. The next stage needs more in accuracy, and in how your function is seen. The leaders ahead of the curve have already switched. Your legacy deserves more than Excel.

Most planners find out their forecast was wrong after the write-off, not before. Run a pilot with us and see how much excess inventory a more accurate forecast would remove.