Contract Manufacturing Production Risks (Pharma)
What we deliver
The Problem (Before)
Pharmaceutical companies increasingly outsource drug manufacturing to Contract Manufacturing Organizations (CMOs) across multiple geographies. There is zero visibility into production status, batch/lot progression, quality hold resolution, or material availability at CMO sites. API (Active Pharmaceutical Ingredient) and finished drug product sit at CMOs with no tracking until a shipment is formally created. Production delays, yield issues, quality holds, and raw material shortages at CMOs are discovered days or weeks late — after downstream distribution commitments are already at risk. Temperature-sensitive API transfers between CMO and sponsor are tracked at the shipment level, but batch/lot-level chain of custody is manual.
Supply Chain Manager, Director, Supply Chain Excellence
The Outcome (After)
FourKites tracks the full contract manufacturing lifecycle from PO issuance through production milestones, quality release, and finished goods shipment from CMO — using Order Twin for production order tracking, Inventory Twin for WIP and finished goods at CMO sites, and Sam for automated supplier collaboration and production status ingestion.
Pharma companies have no visibility into CMO production until a shipment is created — by which time delays are already baked in. FourKites extends visibility upstream into the manufacturing process itself, tracking production orders, batch progression, quality holds, and inventory at CMO sites before shipments exist. No other visibility platform tracks the CMO production lifecycle and links it to downstream transportation and inventory.
Sam
How it works
Order Twin tracks production milestones at CMO sites from PO through quality release; Inventory Twin provides real-time WIP and finished goods positions by batch and lot; Sam automates status ingestion from CMO communications and alerts on milestone slips; temperature tracking and Polly document collection ensure chain-of-custody and compliance documentation travel with the batch from CMO through distribution.
- CMO production lead time benchmarks by product and site
- Yield and quality hold frequency patterns by CMO
- API transfer lane temperature compliance benchmarks
- Cross-CMO production capacity utilization signals
This intelligence exists because the Graph aggregates behavior across 882 enterprise shippers, 10,164 carriers, and 3.6 million facilities over 11 years. No single company's data could produce it.
Pharma companies have no visibility into CMO production until a shipment is created — by which time delays are already baked in. FourKites extends visibility upstream into the manufacturing process itself, tracking production orders, batch progression, quality holds, and inventory at CMO sites before shipments exist. No other visibility platform tracks the CMO production lifecycle and links it to downstream transportation and inventory. The intelligence layer is what makes the difference. Building the basic capability is straightforward. Building it on top of 11 years of cross-company supply chain intelligence, with continuous learning from 2.5 million agent actions per month, is what took a decade and cannot be replicated with software alone.
Order Twin, Inventory Twin, Shipment Twin
Sam executes the workflow. Every action recorded with full decision trace.
Cross-company intelligence powering every decision
- FourSight AI: "What is the production status across CMO sites by batch?"
- Custom Insights: Work-in-progress and finished-goods inventory at CMO sites, with days-of-supply projections
Inbound Operations Transformation
- Zero-Touch Supplier Document Processing
- 24/7 Autonomous Carrier Follow-Up
- Instant Supplier Onboarding
- ETA-Driven Appointment Automation
- Vendor Managed Loads Pre-Arrival Intelligence
Validation
Deployment Evidence
Expected Impact Range
Related outcomes
Ocean bookings triggered and managed autonomously. The system monitors carrier performance against live arrival and dwell data, identifies when a carrier-lane pair is structurally underperforming, and re-tenders the booking before detention accrues. No human in the loop.
Heavyweight and parcel bookings automated end-to-end. Carrier selection, dimensional weight optimization, and booking execution handled without manual intervention.
Every PO visible from creation to dock delivery, with risks flagged weeks ahead.
One billion hours of operational work completed by AI agents over the next decade.
