Multi-ERP Distribution Planning Integration
Connects multiple ERP instances into a unified PP/DS planning environment to consolidate planning data, align schedules, and reduce duplicated distribution planning effort across systems.
The Problem
“Unify planning data from multiple ERP instances into a single PP/DS distribution planning environment”
Organizations face these key challenges:
Fragmented planning data across multiple ERP instances
Inconsistent master data such as material, location, and calendar definitions
Duplicated distribution planning effort in each ERP landscape
Slow batch-based data movement into PP/DS
Impact When Solved
The Shift
Human Does
- •Collect planning extracts from each ERP instance and consolidate them into a shared planning view
- •Reconcile material, location, inventory, demand, and calendar differences across systems
- •Run duplicate distribution planning activities in separate ERP landscapes and compare outcomes
- •Hold cross-system reviews to align schedules, resolve conflicts, and decide planning updates
Automation
Human Does
- •Approve cross-system planning changes and schedule alignment decisions with business impact
- •Review prioritized exceptions and choose resolutions for high-risk data or planning conflicts
- •Set governance rules, planning priorities, and escalation thresholds for centralized planning
AI Handles
- •Continuously consolidate planning signals from multiple ERP sources into one synchronized planning view
- •Detect master-data mismatches, calendar inconsistencies, and cross-system planning exceptions
- •Prioritize and summarize issues, explain likely causes, and recommend next planner actions
- •Monitor planning changes across systems and trigger reconciliation or replanning workflows
Operating Intelligence
How it works
AI runs the first three steps autonomously.
Humans own every decision.
The system gets smarter each cycle.
Who is in control at each step
Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.
Step 1
Assemble Context
Step 2
Analyze
Step 3
Recommend
Step 4
Human Decision
Step 5
Execute
Step 6
Feedback
AI lead
Autonomous execution
Human lead
Approval, override, feedback
AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.
The Loop
6 steps
Assemble Context
Combine the relevant records, signals, and constraints.
Analyze
Evaluate options, risk, and likely outcomes.
Recommend
Present a ranked recommendation with supporting rationale.
Human Decision
A human accepts, edits, or rejects the recommendation.
Authority gates · 1
The system must not approve cross-system planning changes with business impact without a planner's decision. [S1]
Why this step is human
The decision carries real-world consequences that require professional judgment and accountability.
Execute
Carry out the approved action in the operating workflow.
Feedback
Outcome data improves future recommendations.
1 operating angles mapped
Operational Depth
Technologies
Technologies commonly used in Multi-ERP Distribution Planning Integration implementations:
Key Players
Companies actively working on Multi-ERP Distribution Planning Integration solutions: