The monthly S&OP cycle was designed for a world that moved more slowly. Today, demand signals shift weekly. Retailer orders change. Promotions accelerate or underperform. Material lead times fluctuate. By the time a monthly plan is reviewed, debated, approved, and distributed, the inputs that informed it have already changed. The result is a planning process that is perpetually behind. Demand planners spend their time reconciling last month's forecast errors rather than sensing current market signals. Supply planners react to shortages that were foreseeable but not visible in the monthly snapshot. Material planners expedite components that should have been ordered weeks earlier. According to Gartner's 2022 Supply Chain Planning survey, demand planners spend an average of 67% of their time on data collection and reconciliation rather than analysis and decision-making. The APICS Supply Chain Council reports that the average manufacturer achieves only 82-86% OTIF — meaning 14-18% of shipments miss their target, generating penalties, expediting costs, and customer dissatisfaction. This is not a people problem. Experienced planners are doing their best within a process that cannot keep pace with the environment it serves. The solution is not more analysts. It is a fundamentally different planning architecture — one that operates continuously, adjusts autonomously, and surfaces decisions to humans only when human judgment is required.