The meeting isn't long because the decisions are hard. It's long because the first hour is spent arguing about whose spreadsheet is right.

IBF research puts it plainly: 79% of S&OP leaders say their process is limited by data quality, not decision-making. For a mid-market manufacturer running three planners at roughly $90K each, spending 65-75% of their time gathering and reconciling data instead of planning, that's $180K-$200K a year spent on work a system should be doing.

It gets worse under real-world variability. T1 automotive suppliers juggling Kanban sequencing against weekly-changing release schedules can't keep up with static MRP. CPG teams modeling promotional lift in a spreadsheet hit the same stockout-or-excess cycle every quarter.

Asireon runs three AI agents, Demand, Supply, and Material Intelligence, that update continuously instead of resetting monthly, so the S&OP meeting starts from an AI-generated plan with scenario comparisons already built in. Companies report 15-30% MAPE improvement within 12 months, and the meeting itself shrinks to about 45 minutes of actual decisions.

If your planning team spends more time reconciling than deciding, book a consultation and we'll walk through the three agents in the context of your ERP.