Case studies
Logistics
Logistics – Cold-Chain Pharma Distributor: Last-Mile & Temperature Compliance AI
Timeline: Build: 10 weeks. Deploy: lane pilot. Optimization: 9 weeks IoT calibration.
Business overview
Industry: pharma cold chain. Complexity: GDP compliance.
Common pain points
Reactive temp handling, manual patient comms.
Full AI automation system (PrimeAxiom solution)
Telemetry Agent, Predict Agent, Patient Agent, Returns Agent.
Automation workflow (detailed system flow)
1. IoT stream. 2. AI predicts risk. 3. Reroute suggestions. 4. Patient SMS. 5. Proof of delivery. 6. Quarantine if needed. 7. Analytics.
AI agents & logic
Monitor Agent, Predict Agent, Comms Agent.
Technical architecture
Streaming edge, rules engine, HIPAA-aware messaging.
Tools & integrations
Telematics, IoT platform, PostgreSQL, OpenAI, Twilio
Results
Excursion losses −57%; redelivery rate −41%; compliance audit prep −69%; patient satisfaction +23.
Timeline
Build: 10 weeks. Deploy: lane pilot. Optimization: 9 weeks IoT calibration.