Let’s talk about the elephant in the optimization room: enterprise planning is stuck in the past. Despite the billions poured into digital transformation, most companies still schedule the same way they did in the '90s. I’ve seen manufacturers, governments, hospitals,… with mission-critical operations still relying on Excel. Or worse: paper.
Really, I am not exaggerating. I’ve witnessed it firsthand multiple times. When they showed me their production scheduling, they:
Handed me a stack of paper.
Or showed me several Excelfiles, none of which actually visualize the schedule in a Gantt or timeline chart.
Or introduced me to their chief planner, who spends 12 hours a day manually moving around post-its on a giant piece of paper until a feasible schedule magically appeared. This was the prime reason they couldn’t scale operations.
Madness.
And every time it gets to me: Automation is not a given, let alone optimization. Not even close. We have the technology to explore space, while some still haven’t reached the Cape of Good Hope. But in order to catch up, we need to understand the complete timeline.
Planning on paper, or in spreadsheets. No guardrails, no validation. If someone assigns two tasks to the same person at the same time, or exceeds the capacity of a machine, it’s all good. Until it blows up in execution. Your schedule is only feasible because of the human planner behind it. When that planner leaves or goes on vacation? Chaos. Retirement? Disaster.
This is the drag-and-drop utopia many ERP vendors promise: the planner does the thinking, and the software nods politely. It might scream when hard constraints are violated (“You can’t schedule John for two shifts at once!”), but it never lifts a finger to help assign the shifts itself. Your schedule is still only as efficient as the human planner behind it. And when they are absent, production efficiency noticeably decreases.
This is the first real leap. Press a button, and the software assigns work. Sounds perfect until you realize it’s just a glorified greedy algorithm, assigning tasks one by one in isolation. It’s still only as good as your human planner. Or even worse. There’s no understanding of the true complexity. You’re still leaving a lot of money on the table.
Now we’re talking. This is wherePlanningAI steps in. Instead of myopically assigning tasks one at a time, it takes a holistic approach. It juggles your hard constraints (skills, time windows, overtime limits) and your soft goals (fairness, fuel costs, customer satisfaction) to deliver a globally optimized schedule. All with one button.
And even then, real-world planning is messy. Some schedules still benefit from manual overrides. Or goal tweaking. That’s why our PlanningAI platform supports mixing and matching verification, automation, and optimization seamlessly. Because planning is not a one-size-fits-all operation. It’s a living, breathing process that needs toadapt in real time.
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