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Asireon
The AI Planning System That Replaces the Manual S&OP Cycle
Three AI agents — Demand, Supply, and Material — that plan continuously, adapt in real time, and surface risks before they become line stops. Your planners stop fighting data and start making decisions.
The Cost of Manual Planning
Your planning team spends 65-75% of their time gathering and reconciling data. For a mid-market manufacturer with 3 planners at $90K each, that is $180K-$200K annually in labor on data work a system eliminates. And the plan is still wrong by the time it is approved. 79% of S&OP leaders say their process is limited by data quality, not decision-making (IBF Research). The bottleneck is not your planners' judgment. It is the manual process that consumes their capacity before they can exercise it. Your demand planner spends 3-5 days building a forecast in Excel. By the time the S&OP meeting happens, the inputs are already stale. The supply plan assumes yesterday's constraints. The material plan uses a static BOM snapshot. Promotional lifts cause stockouts or excess inventory every cycle. Shortages are discovered when the line stops — not weeks in advance when corrective action is still possible.
What We See on the Floor
Your S&OP meeting takes 3 hours because planners spend the first hour defending their data sources. The argument is not about the plan — it is about whose spreadsheet is right. By the time alignment happens, the window for proactive decision-making has narrowed to reactive firefighting. T1 automotive suppliers face a specific planning nightmare: Kanban sequencing combined with blanket POs and release schedules that change weekly. Static MRP cannot keep up. The planner becomes the buffer between the system and reality — manually adjusting what the ERP cannot model. Days Inventory Outstanding climbs, OTIF suffers, and the root cause is a planning process that was never designed for this level of variability. Promotional planning in CPG is not optional — 20-40% of volume comes from promotions. When demand planners model these in Excel, the stockout-or-excess cycle repeats every quarter. Demand sensing requires signal processing, not spreadsheet formulas. The fill rate target is missed not because the forecast was bad, but because the process that produced it was too slow to matter.
What Changes With Asireon
Before Asireon
Demand forecast built in Excel over 3-5 days, updated monthly
Supply plan requires a dedicated planner, 2 days of reconciliation
Material plan built from static BOM + ERP snapshot — already outdated
S&OP meeting takes 3 hours, produces a plan everyone disagrees with
Promotional lift causes stockout or excess inventory every cycle
Planners spend 70% of time gathering and reconciling data
Shortage discovered when the line stops
Days Inventory Outstanding driven by safety stock buffers
After Asireon
Demand forecast generated continuously, updated daily, by SKU and region
Production schedule generated, constrained, and optimized automatically
Material shortages predicted weeks ahead, POs suggested before the line stops
S&OP reviews an AI-generated plan with scenario comparisons — decision in 45 minutes
Promotional volume modeled into the base plan with demand sensing — not discovered in the rearview mirror
Planners spend time on exception management and commercial decisions
Shortage predicted 2-6 weeks before it happens, with automated corrective action
Inventory optimized by forecast accuracy — DIO reduced through demand-supply alignment
Three Agents. Continuous Intelligence.
The Numbers
MAPE improvement from AI-augmented planning within 12 months
of planner time currently spent on data gathering — not analysis
annual OTIF fines avoidable for mid-market CPG suppliers
inventory reduction from AI-driven demand accuracy within 12 months
Supporting industry data:
79% of S&OP leaders say their process is limited by data quality, not decision-making (IBF Research)
The Business Case
The ROI Model — Three Levers
lever 1 — Planner time:
3 planners x $90K x 65% data time x 70% recovery = $122K recovered annually. Your planners shift from spreadsheet builders to exception managers and commercial decision-makers.
Lever 2 — OTIF fines:
$1M-$5M annual exposure x 60% reduction = $600K-$3M in avoided fines. For CPG suppliers facing retailer chargebacks, this lever alone can justify the investment.
Lever 3 — Inventory:
Inventory value x carrying rate x 10-15% reduction = capital freed. Improved demand accuracy reduces the need for safety stock buffers, directly lowering Days Inventory Outstanding.
Combined value typically exceeds the subscription by 5-10x. We price at 15-25% of total addressable value.
Built for Planning Teams That Deserve Better Tools
1
S&OP Managers
Stop rebuilding the demand plan every Monday. Asireon does it continuously — you focus on exceptions and decisions.
2
Supply Chain Directors
OTIF performance, inventory turns, Days Inventory Outstanding, and supply chain resilience — all driven by a plan that reflects today's reality, not last month'
3
COOs & VP Supply Chain
Frame planning as a P&L item: OTIF fines avoided + inventory reduction + planner hours recovered = net value.
4
IT Managers / ERP Admins
ERP integration is scoped at discovery, not surprises at go-live. We connect to SAP, Oracle, D365, Epicor, Infor, NetSuite, and more.
Planning Intelligence for Complex Manufacturing
Part of the SME-Empowerment Platform
Asireon is the planning layer of the SENSE → PLAN → EXECUTE platform:
Asireon is powerful alone. Connected to the platform, the plan is no longer fiction — it is a living document that reflects what is actually happening.
Why Asireon, Not Your Current Stack
Legacy Planning (Kinaxis, Blue Yonder, SAP IBP)
Shows you the plan
Requires years to implement
Enterprise price, enterprise complexity
Visualization layer over ERP data
Asireon
Makes the plan
Deploys in months
Enterprise-grade intelligence, mid-market implementation
Intelligence layer that replaces manual planning
Common Questions
We use Kinaxis / Blue Yonder / SAP IBP.
Our ERP runs MRP.
Will this replace our planners?
The ERP integration sounds complex.
See Asireon in Action
Book a consultation. We will walk through the three AI agents in the context of your planning challenges — your ERP, your demand patterns, your supply constraints.
