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Execution

Plans are only valuable when executed. Autonomy closes the loop from plan to action with agents that drive ATP, orders, manufacturing, transfers, quality and maintenance, every action surfaces through the Decision Stream under AIIO.

"Execution is where the value of planning is realized or lost. Companies that close the plan-to-execution gap see 4-6% improvement in EBITDA."

, Knut Alicke, Partner, McKinsey & Company (McKinsey, "Supply chain 4.0," 2024)

"The biggest waste in supply chain isn't inefficiency, it's the gap between what we planned and what we executed. AI-driven execution closes that gap in real-time."

, Lora Cecere, Founder, Supply Chain Insights

Available-to-Promise (ATP)

Allocated ATP with priority-based consumption. When a customer order arrives, the ATP Executor agent determines allocation in under 10ms using a priority consumption sequence: own tier first, then bottom-up from lowest priority, never consuming above the order's own tier.

This ensures high-priority orders always have supply while lower-priority orders consume from the appropriate pool without starving strategic customers.

Customer Order Tier 1 - Strategic Highest Tier 2 - Key Accounts Tier 3 - Standard Tier 4 - Spot Lowest Own tier first, then bottom-up from lowest Allocation Result <10ms
< 10ms

ATP allocation decision time

Real-time order promising

99.2%

allocation accuracy with priority tiers

vs. 94% FCFS

4-6%

EBITDA improvement from plan-execution alignment

McKinsey

$1.8T

annual cost of supply chain execution gaps

Gartner

Capable-to-Promise (CTP)

When ATP is insufficient, CTP evaluates the feasibility of fulfilling an order by checking raw material availability, production capacity, and lead times across the network. The system determines the earliest possible fulfillment date and presents options to the planner.

Order Management

Inbound and outbound order lifecycle management from creation through fulfillment. The Order Tracking agent continuously monitors every order, detecting exceptions (late shipments, quantity mismatches, quality holds) and recommending corrective actions before they impact customers.

"By 2026, autonomous execution agents will handle 80% of routine order management decisions without human intervention, freeing planners for strategic work."

, Tim Payne, VP Analyst, Gartner (Gartner Supply Chain Planning Summit, 2025)

Manufacturing Execution

The MO Execution agent manages manufacturing order release, sequencing, splitting, expediting, and deferral. Decisions account for capacity constraints, material availability, setup times, and downstream demand urgency.

Transfer Execution

The TO Execution agent handles transfer order release, consolidation for transportation efficiency, expediting for urgent needs, and deferral when inventory at the destination is sufficient.

Quality Disposition

The Quality Disposition agent evaluates quality holds and determines the appropriate action: accept (release to inventory), reject (return to supplier), rework (reprocess), scrap (write off), or use-as-is (accept with deviation).

Created Allocated Picked Packed Shipped Delivered Order Lifecycle, hexagonal stages from creation to delivery

Maintenance Scheduling

The Maintenance Scheduling agent balances preventive maintenance requirements against production demands. It can schedule, defer, expedite, or outsource maintenance based on asset criticality, production schedules, and maintenance history.

Execution Agent Lifecycle

From order promising through shop floor to maintenance

ATP CTP Order Mgmt MO Exec TO Exec Quality Maint- enance Promising Feasibility Lifecycle Shop Floor Logistics Disposition Scheduling

"Gen AI is revolutionizing the logistics industry. It's poised to boost performance and trillions of dollars in operations, with roughly $190 billion in travel and logistics and $18 billion in supply chain operations."

, Alberto Oca, Partner, McKinsey & Company (McKinsey, "Beyond automation: How gen AI is reshaping supply chains," April 2025)

Closing the Gap

The shift from plan-centric to execution-centric supply chains is accelerating.

"The companies achieving the most value from AI aren't just planning better—they're executing autonomously. That means real-time decisions on ATP, quality, and maintenance without waiting for human approval."

, Shervin Khodabandeh, Managing Director & Senior Partner, BCG
80%

of routine decisions autonomous within 12 months

Gartner

35%

reduction in order-to-delivery cycle time

BCG

60%

fewer manual exception interventions

Deloitte

See execution in action

Walk through the full execution cycle from ATP through order fulfillment.