A cloud-based TMS (Transportation Management System) that automates logistics operations with AI.
When I began working at a logistics company in the US, I noticed how inefficient traditional workflows were. Dispatchers spent hours manually typing data from forms, and communicating load details via email or WhatsApp often led to errors and delays.
Fleet Managers faced a different struggle: trucks stayed on the road for months, creating a "blind spot" for maintenance. Drivers often forgot to report minor issues until they became major, expensive breakdowns. Existing market solutions were either prohibitively expensive or too complex for a small fleet.
I built CargoDzen to solve this: AI data entry, one communication channel, and a digital safety workflow in a single platform. I am also finalizing a native iOS application so drivers get the same tools in the cab.
High-level overview of the infrastructure, from load balancer to AI worker.
The "Smart Import" feature allows dispatchers to upload a PDF or Image of a rate confirmation. Google Gemini 2.0 Flash analyzes the document visually to extract:
Centralized dashboard for dispatchers. Monitor loads from "Dispatched" to "Delivered". All documents (BOL, POD) start attached to the order.
DOT-compliant Pre-Trip inspections. Drivers upload photos via mobile. Safety Managers get real-time alerts for defects.
Granular permissions for Owners, Dispatchers, Drivers, and Accountants. Invite team members via email.
Internal encrypted chat replacing WhatsApp. Isolates drivers from each other while keeping office comms open.
Real-time revenue dashboards, driver settlement calculations (Gross/Miles), and batch document downloads for factoring.
Full JSON audit logs of every action (Time, IP, User-Agent) for security investigations and enterprise compliance.
Blue/Green deployment strategy ensures users never experience downtime during updates. Health checks automatically route traffic to healthy instances.
Jenkins runs the delivery pipeline from commit to production, with tests gating every build.