Use Case: Intelligent Warehouse Operations & Risk Graph

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Use Case: Intelligent Warehouse Operations & Risk Graph

Problem Statement

Pharma warehouses operating on GWS and Helix manage millions of serialized SKUs under strict storage and handling constraints. Yet dependencies across SKUs, storage conditions, IoT sensors, client SLAs, and regulatory rules remain siloed—making it hard to see risk in real time.

Data silos: SKU, zone, sensor, SLA, and regulatory data live in separate systems with limited cross-linking.
Disruption response is slow: During freezer outages, temperature excursions, or audit requests, analysts spend hours reconciling data.
Business impact: Delays cause spoilage, SLA penalties, and regulatory findings.

Proposed Solution

Deploy a Warehouse Intelligence Layer that combines Graph + ML + GenAI (RAG) for proactive risk visibility and evidence-backed actions.

Graph Database: Maps relationships across SKUs ↔ zones ↔ IoT sensors ↔ contracts ↔ regulations for real-time impact analysis.
ML Predictive Models: Anticipate equipment failures, stockouts, and SLA breaches before they happen.
GenAI Assistant (RAG): Natural-language queries and automated audit reports with traceable evidence back to source systems.

Example User Scenarios

Risk Query: “Which shipments are at risk if Zone C power fails?”
Audit Readiness: Generate evidence-backed compliance reports instantly.
Predictive Alert: “Freezer 12 likely to fail within 24h → relocate affected SKUs.”

Business Value

Value Formula: Annual Value = (Spoilage Avoided) + (SLA Penalties Avoided) + (Labor Savings)

Where:

Spoilage Avoided = Inventory Value × Spoilage % × Prevention Rate
SLA Penalties Avoided = Annual Penalties × Reduction %
Labor Savings = Analyst Hours Saved × Hourly Cost × Incident Count

Sample Calculation (assumptions):

Inventory at risk: $2B/year
Current spoilage: 1% ($20M) → 30% reduction = $6M saved
SLA penalties: $5M/year → 40% reduction = $2M saved
Analyst workload: 20,000 hours/year @ $80/h → 75% reduction = $1.2M saved

≈ $9.2M Annual Business Value per warehouse cluster.

Key Metrics (Expected Impact)

~$9.2M Annual value per cluster

30% Spoilage reduction

75% Analyst hours saved

Strategic Impact

Compliance-proof operations: Automated, evidence-backed responses to regulators.
Operational resilience: Predict and prevent failures before they disrupt clients.
Efficiency at scale: Faster onboarding, reduced incident costs, improved SLA performance.
Client trust: Pharma partners gain transparency and confidence in the resilience of their supply chain provider.

Strategic Fit: Elevates warehouse operations from reactive firefighting to proactive, risk-aware orchestration with measurable business value.