Implementation Roadmap
8-12 weeks to a smarter supply chain
A clear, structured implementation that delivers results with minimal lift and no disruption to your existing operations.
Weeks 0-2
Connect & Ingest
- Connect to existing ERP systems (SAP, Oracle, Dynamics 365) via standard APIs
- Ingest 12-24 months of inventory positions, customer orders, and shipment history
- Map SKU hierarchies, customer tiers, and location networks
- Create unified definitions for demand, inventory, supply, capacity, and item data
- Validate data quality (completeness, accuracy, lineage)
- Generate first baseline forecast using historical patterns
Outcome: A single source of truth across your supply chain with standardized models, clear context, deep traceability, and real-time updates.
Weeks 3-6
AI Modeling & Validation
- Forecast demand variance and lead-time shifts through ensemble ML models
- Integrate external market signals (commodity prices, weather, economic indicators)
- Visualize early alerts for OTIF risks 7-14 days ahead
- Perform exception detection and identify at-risk orders by revenue impact
- Configure alert workflows (notification routing, pre-approved actions)
Outcome: Supply chain planners receive actionable insights. Leadership teams begin predicting upcoming risks and opportunities.
Weeks 7-12
Go Live & Optimize
- Deploy Command Center as primary source for daily exception management
- Receive AI recommendations: top 3 mitigation options per risk with cost/feasibility
- Get alerts that highlight service risks before they escalate
- Stabilize inventory levels as forecast accuracy improves
- Track performance weekly: forecast accuracy, OTIF lift, working capital freed
- Leverage natural-language AI assistant for explanations and recommendations
Outcome: Teams measure money saved and labor reduced as they shift from reactive firefighting to proactive decision-making.
