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Gowitek for Logistics & Supply Chain Driving Operational Agility and Real-Time Visibility with Cloud-Native and AI-Powered Solutions
Common Challenges in Logistics & Supply Chain
- Common Challenges in Logistics & Supply Chain
- Fragmented systems across freight, warehousing, fleet, and partners
- Inefficiencies in route planning and last-mile delivery
- Inability to scale operations during seasonal demand or geographic expansion
- Manual processes leading to delays, errors, and cost overruns
Gowitek’s Digital Solutions for Logistics Excellence
Cloud-Native Transport & Warehouse Platforms Develop scalable, API-first systems for TMS, WMS, and 3PL integrations using Golang and Kubernetes.
Real-Time Visibility & Predictive Tracking Leverage IoT and AI to track shipments, vehicles, and assets live with predictive delay detection and route insights
AI-Powered Operations Automation Automate load matching, invoicing, fleet dispatching, and compliance reporting using GenAI and ML.
Intelligent Analytics & Control Towers Build dashboards for 360° operational views—across routes, fleet utilization, performance KPIs, and cost optimization.
Secure & Resilient Platforms DevSecOps, role-based access, scalable infra, and high availability built in from day one.
Relevant Tech Stack
Backend
Golang, Kafka, Redis, PostgreSQL
Frontend
React, Next.js, TailwindCSS
Cloud & DevOps
GCP, AWS, Docker, Kubernetes, Terraform
AI/ML & GenAI
OpenAI, LangChain, TensorFlow, Pinecone
IoT & Telematics
MQTT, GPS APIs, Azure IoT Hub
Security & Ops
Grafana, Prometheus, Sentry, Vault
Client Success Stories
FleetOps Platform – Southeast Asia Logistics Firm
Challenge:Fragmented fleet management across 8 countries
Solution: Golang microservices, real-time vehicle tracking, AI-based route recommendations
Outcome: 27% fuel cost reduction, 98% on-time delivery improvement
Warehouse Optimization – Large FMCG Supplier
Challenge: Manual inventory reconciliation and slow order picking
Solution: Cloud-native WMS platform integrated with barcode scanners and AI for pick-path optimization
Outcome: 3x faster warehouse throughput, 95% inventory accuracy
Smart Dispatch – Urban Logistics Startup
Challenge: Inefficient delivery route allocation and fleet under-utilization
Solution: AI/ML dispatch engine with driver scoring and real-time traffic data
Outcome: 40% reduction in delivery time, 22% increase in daily drop density
End-to-End Supply Chain Visibility – Global Electronics Brand
Challenge: No unified view across suppliers, carriers, and distribution centers
Solution: Control tower with live dashboards, AI-powered alerts, and predictive analytics
Outcome: 30% drop in SLA violations, 2x faster issue resolution
