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Service Detail

Supply Chain Intelligence & Transformation

End-to-end supply chain redesign — from network architecture and demand planning to AI-powered control towers and autonomous execution systems.

The Problem

Supply chains operating on weekly planning cycles in a market that moves daily. Fragmented data across ERP, WMS, and TMS. Planners spending 60–70% of time on exceptions instead of strategy. Disruption response measured in days, not hours.

Planning cycles 3–5x slower than market change
Data silos prevent unified decision-making
Exception processing consumes 60–70% of planner capacity
48–96hrs
Average disruption response time

Our Approach

Phase 1

Data Foundation

Months 1–6. Unified data architecture. Map all sources. Define master data standards. Build integration layer.

ERP, WMS, TMS integration
Data quality framework
Phase 2

Intelligence Layer

Months 6–18. Demand sensing, supply risk scoring, logistics disruption prediction. Payback within 6–9 months.

Predictive analytics
Control Tower 2.0
Phase 3

Autonomous Execution

Months 18–36. Deploy agentic systems within governance boundaries. Expand as confidence develops.

AI agent deployment
Decision governance

AI Integration

Agents applied in this service

Business Impact

Forecast accuracy improvement+23%
Safety stock reduction–35%
Disruption response time4–12 hours
Logistics cost reduction–18%

Ready to transform your supply chain?

Start with an AI readiness assessment — no commitment, just clarity.

Schedule Assessment