Kargo — the AI-native operating system for moving goods. TMS prototype for African road freight.
# Kargo
**The operating system for moving goods.**
Run orders, dispatch, fleet, drivers, customers, payments and operations from
one place — with AI built into the workflow.
Kargo is an AI-native Transportation Management System for African logistics
companies, starting with Tanzanian road freight. The marketplace comes later,
and only because the software came first.
```
kargo-app/ Next.js 16 prototype — marketing site + product
docs/ Product, design, architecture, data model, sprints, roadmap
```
## Run it
```bash
cd kargo-app
npm install
npm run dev
```
| Route | |
| --- | --- |
| `/` | Marketing site |
| `/login` | Sign in (continues straight to the demo workspace) |
| `/app` | The product — dashboard, orders, dispatch, fleet, AI |
## Documentation
Start with `docs/README.md`.
- PRODUCT.md — what Kargo is and is not
- DESIGN.md — brand, tokens, the two design systems
- ARCHITECTURE.md — stack, routes, the AI layer
- DATA-MODEL.md — schema and the order state machine
- SPRINTS.md — sprint 0–8, with current status
- ROADMAP.md — OS → document intelligence → Network
## Status
Prototype. The UI is complete and populated with a realistic seeded dataset —
30 orders, 42 vehicles, 40 drivers, 12 customers, real Tanzanian road
distances, TZS throughout. Nothing writes to a database yet; see
SPRINTS.md Sprint 7 for the Supabase migration, which is
designed to require no component changes.