Every load digitally captured through PRIMA platform—no manual allocation, complete end-to-end visibility
Optimization across owned fleet and vendor marketplace for maximum flexibility and asset efficiency
Right truck, right load, right time—intelligent routing and matching algorithms powered by machine learning
Large vendor pool via GoBOLT Business App enabling real-time demand-supply matching at scale
10+ years of structured operational and invoice data powering industry-fastest cost benchmarks and optimization
Centralized payment infrastructure via Razorpay, SCB, and YES Bank for seamless financial operations
Real-time cost tracking enabling rapid vendor payments and improved working capital management
Data-driven insights delivering consistent margins and operational predictability at scale — with every cost aspect (fuel, maintenance, tolls, driver expenses, etc.) digitally captured through dedicated modules, directly leading to lower cost per shipment and higher EBITDA margins
Instant notifications for unscheduled halts and route non-compliance with automated escalation protocols
Fatigue monitoring and unsafe driving behavior detection for enhanced safety and compliance
Geofenced locks with tamper alerts and unauthorized access detection ensuring cargo security
Digital challan capture and ops acknowledgment loops—every event digitally triaged and closed
Microservices on GCP/Kubernetes enabling elastic scaling and zero-downtime deployments
CDC pipelines into BigQuery delivering instant insights and compliance-ready analytics at scale
Multi-zone HA/DR architecture ensuring resilience and business continuity for critical operations
SOC2/ISO controls with governance embedded at scale for enterprise clients and compliance
10+ years of structured operational and invoice data creating unmatched cost benchmarks and optimization algorithms that improve with every transaction processed through the platform
Proprietary technology protected by intellectual property, creating significant barriers to entry
Fuel reconciliation, telematics intelligence, and automated cost negotiations
Proprietary dataset compounds with scale—more loads improve AI optimization, attracting more vendors, which brings more loads, creating a self-reinforcing flywheel of growth
Purpose-built platform with embedded intelligence difficult to replicate by traditional asset-heavy competitors or new entrants without similar data advantages