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An auto-component supplier used GenAI to triage 240,000 annual warranty claims. Claim-cycle time down 51%; recurring-issue identification automated.

Predictive maintenance pilots are everywhere. Production deployments are rare. Three patterns that scale.

Practical NLP patterns for enterprise deployment — contract analysis, customer-feedback synthesis, regulatory-document processing.

Production patterns for computer vision in manufacturing, retail, and logistics. Pilot-to-scale patterns from real deployments.

A global law firm built NLP-based contract analysis for due-diligence engagements. Lawyer hours per engagement reduced 64%.

An industrial manufacturer deployed computer-vision quality inspection on 12 high-volume production lines. Defect-detection rate up from 78% to 96%.

A specialty retailer deployed computer-vision store analytics across 240 locations. Footfall + conversion data drives merchandising decisions.

A regional utility built ML-based demand forecasting per substation. Forecast accuracy improved 28%; grid-balancing operations now data-driven.

A fintech built an MLOps platform managing 14 fraud-detection models in production. Model deployment time: 6 weeks → 3 days; drift detection automated.

A state agency deployed GenAI to draft responses to citizen inquiries with policy-grounded responses. Citizen-inquiry response time down 56%.