Real-Time Visibility Platform

Problem class

Carrier check calls consume massive customer service time. Without visibility, exceptions surface too late to recover. Hundreds of daily phone calls per facility could be eliminated by a platform that simply tells everyone where the freight is.

Mechanism

The platform ingests data from GPS, ELD, AIS, carrier TMS, and IoT sensors. Normalization layers translate inconsistent feeds into a unified tracking model. ML predictive ETAs replace static estimates. Exception detection flags delays, route deviations, and temperature excursions. Control tower dashboards visualize the full network.

Required inputs

• Carrier telematics feeds (GPS, ELD)
• AIS for ocean freight
• IoT sensor data (temp, shock, humidity)
• Carrier TMS integrations
• Geofence and location reference data

Produced outputs

• Real-time shipment tracking across all modes
• Predictive ETA
• Exception alerts
• Reduced check-call volume
• Control tower visualization

Industries where this is standard

• Global CPG and consumer brands
• Pharmaceutical cold chain
• Food and grocery distribution
• Automotive inbound
• High-value electronics and aerospace

Counterexamples

• Carrier adoption gaps — small carriers without telematics create blind spots; 97% of US carriers have <10 trucks and may lack capability entirely.
• Alert fatigue — too many trivial notifications cause dispatchers to ignore critical ones; alert thresholds and routing logic matter as much as the platform.

Representative implementations

• C&S Wholesale Grocers — FourKites; 65% reduction in transportation-related customer service calls in 4 months, 8,000+ custom geofences.
• RR Donnelley — project44; 700-900 daily phone calls eliminated.
• FourKites aggregate — users save 20 minutes per tracked load; for 500 lookups/month, 166 hours and ~$5,000/month labor savings.

Common tooling categories

Multi-source telematics ingestion + normalization layer + predictive ETA model + exception detection engine + control tower dashboard + geofence management.