Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release — Architecture, System-of-Record Locks, and Worked USD/INR Example

Document ID: L0232 · Cluster Domain: Long-Horizon Replenishment AI vs. PO Release Locks · Funnel Stage: MOFU · Target Reader: VP of Omnichannel Fulfillment, Director of Order Management & Last-Mile Ops Leads Primary Focus Keywords: long horizon ai agents supply chain planning architecture, long horizon ai agents supply chain planning, long horizon ai agents supply chain planning software

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Why Long-Horizon Replenishment AI vs. PO Release Locks Breaks Without Deterministic State Locks

This systems architecture guide examines Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release — Architecture, System-of-Record Locks, and Worked USD/INR Example (L0232) from the standpoint of deterministic execution engineering. Rather than treating long horizon ai agents supply chain planning architecture as a passive reporting problem solved after month-end close, this blueprint defines the exact physical-to-digital state locks, edge telemetry captures, and sub-ledger gates required to prevent unverified state transitions across both United States (Bentonville (AR) & Cincinnati (OH) Multi-Echelon Retail & CPG Planning Hub) and Indian (Mumbai & Gurugram National Demand & Multi-Echelon Inventory Planning Center) supply chain networks.

At the core of this operational domain lies a non-negotiable engineering principle: Governing Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release across Bentonville (AR) & Cincinnati (OH) Multi-Echelon Retail & CPG Planning Hub and Mumbai & Gurugram National Demand & Multi-Echelon Inventory Planning Center requires replacing post-facto spreadsheet reconciliation with deterministic state-transition gates (INVENTORY POSITION → PROPOSAL ENGINE → PHYSICAL & OTB GATE → AUTHORITY COMMIT → ERP COMMITMENT) that hard-lock physical edge capture to statutory filings and ERP sub-ledger settlement. Whenever organizations allow physical warehouse, yard, port, or transit execution to advance faster than digital state verification, the gap between what occurred on the floor and what is recorded in the enterprise ledger widens into structural financial leakage.

The Three Structural Failure Modes of Uncontrolled Execution

In live production audits across Bentonville (AR) & Cincinnati (OH) Multi-Echelon Retail & CPG Planning Hub and Mumbai & Gurugram National Demand & Multi-Echelon Inventory Planning Center, three recurring failure modes explain why legacy SOPs and passive visibility dashboards fail to control Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release:

1. Unverified Physical-to-Digital Handover: A long-horizon reinforcement-learning or LLM planning agent reacts to a temporary 48-hour promotional spike by autonomously releasing EDI 850 purchase orders across three echelons, triggering a classic bullwhip cascade that exceeds regional warehouse pallet capacity by 35%.
2. Asynchronous Exception Discovery & Commercial Lag: Autonomous PO generation ignores supplier Minimum Order Quantities (MOQs), container-load cube utilization brackets, or open blanket PO budget ceilings, committing unauthorized working capital.
3. Split-Brain State & Statutory Desynchronization: Unverified lead-time assumptions in the AI agent's world model trigger expedited air/team-truck replenishment orders when an inbound ocean container has already cleared customs at the port.

Core Control Thesis (L0232): You cannot fix a missing physical control gate at 01 · ECHELON TELEMETRY (INVENTORY POSITION) or 02 · LONG-HORIZON AI (PROPOSAL ENGINE) with an accounting spreadsheet or an LLM chatbot at month-end. Deterministic execution locks must fire at the exact millisecond of physical custody or state transfer, while bounded AI agents (AUTHORITY COMMIT) accelerate exception evidence assembly for accountable human sign-off (ERP COMMITMENT).

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Physical-to-Financial Control Architecture Across US and India Corridors

To eliminate silent state drift across Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release, the execution architecture enforces five sequential control gates linking edge hardware capture (ERP Material Requirements Planning (MRP) engines, vendor EDI gateways, warehouse cubic capacity telemetry, and POS/syndicated demand feeds) and bilateral protocol exchanges (ASC X12 EDI 850 (Purchase Order), EDI 855 (PO Acknowledgment), EDI 830 (Planning Schedule with Release Capability), EDI 846 (Inventory Inquiry), and India GST Vendor Purchase Orders / HSN Master Schedules) directly to the ERP financial sub-ledger:

Stage-by-Stage Control Gate Walkthrough

• 01 · ECHELON TELEMETRY (POS + OH + In-Transit): Captures primary physical telemetry (US: EDI 846 / 856 / POS in the US; IN: DMS + WMS + ULIP in India) and enforces INVENTORY POSITION via two hard predicates: IP = OH + IT - BO + Child and Eliminates Double Count. No downstream document or wave release can initialize until this gate commits.
• 02 · LONG-HORIZON AI (Multi-Cycle Simulation): Validates commercial and statutory dispatch/execution prerequisites (US: Simulates Promo/Lead; IN: Festival & Monsoon Sim) under PROPOSAL ENGINE. The system verifies Outputs Draft PO Vector and Cannot Transmit EDI 850 before opening the physical yard gate, releasing the pick wave, or transmitting the customs/carrier filing.
• 03 · BULLWHIP & CUBE (Deterministic Gate Lock): Evaluates in-transit, receiving, or billing settlement events (US: Cube <= DC Pallet Cap; IN: CFA Bay + MOQ Bracket) through PHYSICAL & OTB GATE. Whenever Checks Open-to-Buy Cap or Blocks Bullwhip > Bound detects a deviation outside tolerance, the transaction is bifurcated—isolating the disputed variance while preserving flow for verified units.
• 04 · BUYER DOA SIGN-OFF (Procurement Approval): Invokes AUTHORITY COMMIT (US: SOX DoA / UCC Art 2; IN: IFCFR + MSME 45d Lock) to correlate multi-source logs, photos, and tariff clauses (Buyer Signs PO Batch). Critically, this layer enforces Locks Contract Price—the AI agent has zero write authority over operational locks or general-ledger tables.
• 05 · EDI 850 / 855 SYNC (Supplier Order Release): Finalizes the three-way tie-out (US: EDI 850 -> 855 Ack; IN: ERP PO -> ASN Gate) under ERP COMMITMENT, executing Encumbers Budget Ledger and 100% Audit Traceable only after cryptographic and human controller sign-off criteria are satisfied.

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Mathematical Formulation: Multi-Echelon Base-Stock Conservation, Working-Capital Ceiling & Warehouse Cube Constraint

Replacing subjective operator judgment with deterministic software locks in Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release requires explicit mathematical formulations embedded inside WMS / TMS Execution Engine and ERP Financial Sub-Ledger. Below is the complete three-part Multi-Echelon Base-Stock Conservation, Working-Capital Ceiling & Warehouse Cube Constraint governing long horizon ai agents supply chain planning architecture:

1. Echelon Inventory Position & Order-Up-To Policy

$$IP_{e}(t) = OH_{e}(t) + IT_{e}(t) - BO_{e}(t) + \sum_{d \in \text{Downstream}(e)} IP_{d}(t), \quad Q_{\text{raw},e}(t) = \max\left(0,\; S_{e}^*(t) - IP_{e}(t)\right)$$

Operational Interpretation & Gate Enforcement: Defines the echelon inventory position $IP_e(t)$ across on-hand ($OH_e$), in-transit ($IT_e$), backorders ($BO_e$), and all downstream child nodes $d$. Prevents double-ordering when inventory is already in transit between central and regional depots. In production deployments across Bentonville (AR) & Cincinnati (OH) Multi-Echelon Retail & CPG Planning Hub and Mumbai & Gurugram National Demand & Multi-Echelon Inventory Planning Center, this equation is evaluated synchronously at INVENTORY POSITION and PROPOSAL ENGINE before any physical movement or external message transmission is committed.

2. Deterministic Warehouse Cube & Working-Capital Release Gate

$$\sum_{i \in \mathcal{I}} Q_{\text{PO},i} \cdot v_i + V_{\text{projected-OH}}(t + L_i) \le \kappa_{\text{max-cube},e}, \quad \sum_{i \in \mathcal{I}} Q_{\text{PO},i} \cdot c_i \le B_{\text{open-to-buy},e}$$

Operational Interpretation & Gate Enforcement: Hard-blocks any AI-recommended purchase order batch if projected receiving volume at lead-time arrival $t + L_i$ breaches physical warehouse pallet/cube capacity $\kappa_{\text{max-cube},e}$ or remaining Open-to-Buy financial budget $B_{\text{open-to-buy},e}$. By evaluating this expression automatically within DeterministicStateLock / ControlGateLedger and CompliancePayloadRecord (ASC X12 / GSTN-ULIP), the platform eliminates manual spreadsheet guesswork and immediately quantifies the financial or operational exposure at PHYSICAL & OTB GATE.

3. Bullwhip Amplification Damping Factor

$$\text{BWR}_e = \frac{\text{Var}(Q_{\text{PO},e})}{\text{Var}(D_{\text{POS}})} \le 1 + \frac{2 L_e}{p} + \frac{2 L_e^2}{p^2}$$

Operational Interpretation & Gate Enforcement: Rejects autonomous replenishment schedules whose order variance amplification $\text{BWR}_e$ exceeds the theoretical moving-average damping bound for review period $p$ and lead time $L_e$. This binary/threshold predicate serves as the hard interlock for ERP COMMITMENT, ensuring that ThreeWaySettlementMatch & VarianceHoldQueue never releases an unverified settlement or corrupts inventory/cost valuation.

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State-Machine Ownership and Execution Objects Across WMS, TMS, and ERP

To prevent split-brain execution across Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release, every participating platform must enforce strict state-machine ownership. A state transition can only be committed when the designated writer-of-record validates the prerequisite physical telemetry (ERP Material Requirements Planning (MRP) engines, vendor EDI gateways, warehouse cubic capacity telemetry, and POS/syndicated demand feeds) and protocol payload (ASC X12 EDI 850 (Purchase Order), EDI 855 (PO Acknowledgment), EDI 830 (Planning Schedule with Release Capability), EDI 846 (Inventory Inquiry), and India GST Vendor Purchase Orders / HSN Master Schedules).

State-Transition Invariants Across the Four System Layers

1. Immutable Physical Capture Before Digital Advancement: Neither WMS / TMS Execution Engine nor ERP Financial Sub-Ledger may advance an order, lot, container, or shipment record past 01 · ECHELON TELEMETRY unless ImmutableScanEvent / DeviceTelemetryPacket presents a cryptographically timestamped capture event from ERP Material Requirements Planning (MRP) engines, vendor EDI gateways, warehouse cubic capacity telemetry, and POS/syndicated demand feeds.
2. Pre-Release Statutory Interlock: At 02 · LONG-HORIZON AI (Multi-Cycle Simulation), the execution layer validates both US (US: Simulates Promo/Lead) and India (IN: Festival & Monsoon Sim) prerequisites. If Outputs Draft PO Vector or Cannot Transmit EDI 850 evaluates to false, physical gate-out or wave release is hard-blocked.
3. Zero-Trust Cross-System Handover: When CompliancePayloadRecord (ASC X12 / GSTN-ULIP) ingests external partner messages (ASC X12 EDI 850 (Purchase Order), EDI 855 (PO Acknowledgment), EDI 830 (Planning Schedule with Release Capability), EDI 846 (Inventory Inquiry), and India GST Vendor Purchase Orders / HSN Master Schedules), PHYSICAL & OTB GATE compares incoming quantities, weights, rates, or timestamps against the internal baseline (Checks Open-to-Buy Cap), routing any discrepancy directly to the exception sub-ledger.

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US and India Statutory Compliance Gates (L0232 Dual-Market Matrix)

Operating a unified control architecture across United States and Indian supply chain corridors requires embedding jurisdiction-specific statutory rules directly into PROPOSAL ENGINE and ERP COMMITMENT:

• United States Statutory & Regulatory Framework: SOX Section 404 purchasing and expenditure authorization controls, ASC X12 EDI 850/855/830 binding commercial contract formation under UCC Article 2 (§ 2-201 Statute of Frauds & § 2-206 Offer and Acceptance), and US GAAP ASC 440 (unconditional purchase obligations). Every domestic and cross-border transaction across Bentonville (AR) & Cincinnati (OH) Multi-Echelon Retail & CPG Planning Hub must bind physical execution records (ImmutableScanEvent / DeviceTelemetryPacket) to the governing federal and commercial standards (US: Simulates Promo/Lead; US: Cube <= DC Pallet Cap; US: EDI 850 -> 855 Ack) before financial close.
• India Statutory & Regulatory Framework: Indian Contract Act, 1872 (binding purchase order commitments), Companies Act 2013 IFCFR procurement delegation-of-authority matrices, MSME Development Act Section 15 (mandatory 45-day payment clock triggered upon acceptance of goods from registered Micro/Small enterprises), and GST HSN/tax-rate validation on PO headers. Across Mumbai & Gurugram National Demand & Multi-Echelon Inventory Planning Center, the execution engine must validate digital statutory prerequisites (IN: Festival & Monsoon Sim; IN: CFA Bay + MOQ Bracket; IN: ERP PO -> ASN Gate) prior to physical vehicle movement or tax invoice settlement.

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Bounded AI Orchestration vs. Hard Transactional Interlocks

A defining architectural requirement across all modern supply chain implementations is the strict separation between deterministic transactional locks and bounded AI orchestration:

• Deterministic Execution Engine (WMS / TMS Execution Engine & ERP Financial Sub-Ledger): Owns all state transitions across ImmutableScanEvent / DeviceTelemetryPacket, DeterministicStateLock / ControlGateLedger, CompliancePayloadRecord (ASC X12 / GSTN-ULIP), and ThreeWaySettlementMatch & VarianceHoldQueue. It evaluates Multi-Echelon Base-Stock Conservation, Working-Capital Ceiling & Warehouse Cube Constraint with zero probabilistic variance and enforces INVENTORY POSITION, PROPOSAL ENGINE, PHYSICAL & OTB GATE, and ERP COMMITMENT.
• Bounded Read-Only AI Layer (04 · BUYER DOA SIGN-OFF · AUTHORITY COMMIT): Operates exclusively on read-replicas and unstructured document stores. When PHYSICAL & OTB GATE flags an exception (Checks Open-to-Buy Cap), the AI layer executes Buyer Signs PO Batch—parsing OCR PDFs, matching dock/yard camera frames, extracting relevant clauses from SOX Section 404 purchasing and expenditure authorization controls or Indian Contract Act, 1872 (binding purchase order commitments), Companies Act 2013 IFCFR procurement delegation-of-authority matrices, MSME Development Act Section 15 (mandatory 45-day payment clock triggered upon acceptance of goods from registered Micro/Small enterprises), and GST HSN/tax-rate validation on PO headers, and pre-populating a structured exception brief.
• Immutable Guardrail (Locks Contract Price): The AI agent service principal is denied database INSERT, UPDATE, or DELETE privileges on inventory balances, rate cards, customs filings, and ERP AP/AR sub-ledgers. Every commercial claim, tariff override, or statutory filing requires explicit cryptographic sign-off by the designated human role owner.

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Worked Financial and Operational Scenarios: US ($) and India (₹) Reconciliation

To ground Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release — Architecture, System-of-Record Locks, and Worked USD/INR Example in concrete operational economics, the worked scenarios below trace how deterministic control gates eliminate structural leakage in both a high-volume United States corridor and a high-velocity Indian logistics network:

United States Worked Scenario (Bentonville (AR) & Cincinnati (OH) Multi-Echelon Retail & CPG Planning Hub)

• Facility & Operating Profile: US 2-echelon distribution network (2 master import DCs + 9 regional fulfillment centers) replenishing 4,800 active SKUs ($6.4M/month PO spend).
• Baseline Throughput & Financial Footprint: 1,150 replenishment POs/month across 180 suppliers.
• Pre-Control Legacy Failure & Leakage: Uncoordinated reorder rules and planner overrides create $29,500/month ($354,000/year) in emergency inter-DC transfers, overflow 3PL storage fees, and LTL partial-load penalties.
• Deterministic Control-Gate Intervention & Verified Outcome: Allowing long-horizon AI agents to simulate multi-echelon demand while enforcing deterministic Open-to-Buy, container-cube, and bullwhip-damping gates before EDI 850 release saves $27,200/month ($326,400/year).
• Statutory & Protocol Audit Trail: Full alignment across SOX Section 404 purchasing and expenditure authorization controls, ASC X12 EDI 850/855/830 binding commercial contract formation under UCC Article 2 (§ 2-201 Statute of Frauds & § 2-206 Offer and Acceptance), and US GAAP ASC 440 (unconditional purchase obligations)., linking ImmutableScanEvent / DeviceTelemetryPacket (US: EDI 846 / 856 / POS) through ThreeWaySettlementMatch & VarianceHoldQueue (US: EDI 850 -> 855 Ack).

India Worked Scenario (Mumbai & Gurugram National Demand & Multi-Echelon Inventory Planning Center)

• Facility & Operating Profile: Mumbai & NCR central mother warehouses replenishing 22 state Carrying & Forwarding Agents (CFAs) across ₹5.2 Crore/month in monthly POs.
• Baseline Throughput & Financial Footprint: 1,400 monthly purchase orders and inter-state Stock Transfer Orders (STOs).
• Pre-Control Legacy Failure & Leakage: Reactive manual ordering and unverified in-transit visibility cause simultaneous stockouts in South zones and 38-day excess inventory pileups in West zones, costing ₹10,80,000/month (₹1,29,60,000/year) in working-capital carrying cost and emergency freight.
• Deterministic Control-Gate Intervention & Verified Outcome: Gating AI-generated PO/STO drafts behind hard CFA bin-capacity, MSME payment-clock, and echelon-inventory locks recovers ₹10,10,000/month (₹1,21,20,000/year).
• Statutory & Protocol Audit Trail: End-to-end compliance with Indian Contract Act, 1872 (binding purchase order commitments), Companies Act 2013 IFCFR procurement delegation-of-authority matrices, MSME Development Act Section 15 (mandatory 45-day payment clock triggered upon acceptance of goods from registered Micro/Small enterprises), and GST HSN/tax-rate validation on PO headers., binding ImmutableScanEvent / DeviceTelemetryPacket (IN: DMS + WMS + ULIP) to ThreeWaySettlementMatch & VarianceHoldQueue (IN: ERP PO -> ASN Gate).

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Architectural Anti-Patterns and Silent Failure Modes in Long-Horizon Replenishment AI vs. PO Release Locks

Enterprise engineering teams deploying Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release repeatedly encounter three structural anti-patterns that undermine control integrity:

1. Failure Mode 01 — Soft Warning Modals Instead of Hard Database Locks: A long-horizon reinforcement-learning or LLM planning agent reacts to a temporary 48-hour promotional spike by autonomously releasing EDI 850 purchase orders across three echelons, triggering a classic bullwhip cascade that exceeds regional warehouse pallet capacity by 35%. When the user interface displays a dismissible warning rather than enforcing INVENTORY POSITION (IP = OH + IT - BO + Child) at the API and database transaction layer, floor operators under shift cutoff pressure invariably bypass the check.
2. Failure Mode 02 — Post-Facto Batch Reconciliation: Autonomous PO generation ignores supplier Minimum Order Quantities (MOQs), container-load cube utilization brackets, or open blanket PO budget ceilings, committing unauthorized working capital. Relying on overnight CSV exports or end-of-month spreadsheet reconciliation means that PHYSICAL & OTB GATE (Checks Open-to-Buy Cap) is evaluated weeks after physical custody has transferred and commercial leverage has evaporated.
3. Failure Mode 03 — Unbounded AI Write Access or Disconnected Sub-Ledgers: Unverified lead-time assumptions in the AI agent's world model trigger expedited air/team-truck replenishment orders when an inbound ocean container has already cleared customs at the port. Granting probabilistic AI workflows direct write permissions to DeterministicStateLock / ControlGateLedger or ThreeWaySettlementMatch & VarianceHoldQueue violates AUTHORITY COMMIT (Locks Contract Price) and corrupts statutory audit trails across ASC X12 EDI 850 (Purchase Order), EDI 855 (PO Acknowledgment), EDI 830 (Planning Schedule with Release Capability), EDI 846 (Inventory Inquiry), and India GST Vendor Purchase Orders / HSN Master Schedules.

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Production Verification Checklist and Related Supply Chain Playbooks

Before certifying Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release (L0232) for production operation across Bentonville (AR) & Cincinnati (OH) Multi-Echelon Retail & CPG Planning Hub and Mumbai & Gurugram National Demand & Multi-Echelon Inventory Planning Center, engineering, operations, and finance leaders should verify the following six control invariants:

1. Edge Capture Integrity: Confirm that ERP Material Requirements Planning (MRP) engines, vendor EDI gateways, warehouse cubic capacity telemetry, and POS/syndicated demand feeds writes immutable events to ImmutableScanEvent / DeviceTelemetryPacket and that INVENTORY POSITION blocks any transaction violating IP = OH + IT - BO + Child or Eliminates Double Count.
2. Pre-Release Statutory Gate: Verify that PROPOSAL ENGINE validates US: Simulates Promo/Lead (under SOX Section 404 purchasing and expenditure authorization controls) and IN: Festival & Monsoon Sim (under Indian Contract Act, 1872 (binding purchase order commitments), Companies Act 2013 IFCFR procurement delegation-of-authority matrices, MSME Development Act Section 15 (mandatory 45-day payment clock triggered upon acceptance of goods from registered Micro/Small enterprises), and GST HSN/tax-rate validation on PO headers) with Outputs Draft PO Vector and Cannot Transmit EDI 850 enforced prior to physical dispatch or wave release.
3. Mathematical Tolerance Engine: Validate that all three equations of Multi-Echelon Base-Stock Conservation, Working-Capital Ceiling & Warehouse Cube Constraint (*Echelon Inventory Position & Order-Up-To Policy*, *Deterministic Warehouse Cube & Working-Capital Release Gate*, *Bullwhip Amplification Damping Factor*) execute deterministically inside DeterministicStateLock / ControlGateLedger and CompliancePayloadRecord (ASC X12 / GSTN-ULIP).
4. Automated Variance Split: Ensure PHYSICAL & OTB GATE evaluates Checks Open-to-Buy Cap and Blocks Bullwhip > Bound in real time, isolating disputed lines without stalling undisputed settlement flows.
5. Read-Only AI Segregation: Audit RBAC permissions for AUTHORITY COMMIT to verify that Buyer Signs PO Batch operates strictly under Locks Contract Price with zero direct write access to ThreeWaySettlementMatch & VarianceHoldQueue.
6. Three-Way Sub-Ledger Close: Confirm that ThreeWaySettlementMatch & VarianceHoldQueue enforces ERP COMMITMENT (Encumbers Budget Ledger; 100% Audit Traceable) with complete US ($) and India (₹) audit-trail persistence.

Related Logistics & Supply Chain Control Playbooks

Explore the broader Logistics & Supply Chain Control Library or review the companion playbooks in this cluster:

• Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release — Software Evaluation Matrix, Audit Trail Rules, and Pilot Checklist (L0233) — Complementary BOFU guide covering *long horizon ai agents supply chain planning evaluation guide* under Agentic AI vs. Deterministic WMS/TMS Control Gates.
• Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release — ERP-to-WMS Event Schema, Idempotency Keys, and Exception Queue Design (L0234) — Complementary TOFU guide covering *long horizon ai agents supply chain planning erp integration* under Agentic AI vs. Deterministic WMS/TMS Control Gates.
• Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release — 3PL & Enterprise Implementation Playbook with SLA Tolerance Math (L0235) — Complementary BOFU guide covering *long horizon ai agents supply chain planning implementation* under Agentic AI vs. Deterministic WMS/TMS Control Gates.
• Long-Horizon AI Agents in Multi-Echelon Replenishment: Guardrails for Purchase Order Release — Cost-Leakage Prevention, Variance Reconciliation, and CFO Sign-Off (L0236) — Complementary MOFU guide covering *long horizon ai agents supply chain planning cost reconciliation* under Agentic AI vs. Deterministic WMS/TMS Control Gates.