LogiFlow Decision Intelligence for Multi-Modal Logistics
Compare every way to move cargo — road, rail, air, water, and chained hybrid routes — in one honest run.
Try the app · Zoho Catalyst mirror · API health · Documentation · Android APK
The Problem
India moves 4.6 billion tonnes of freight every year, yet most shippers still plan in one mode at a time. A corridor that is faster by rail, cheaper by water, or safer by road rarely gets compared side-by-side. The result is higher cost, missed deadlines, and blind risk — especially for MSMEs who cannot afford a full logistics desk.
The Solution
LogiFlow runs five transport pipelines in parallel, normalizes every result into one schema, and ranks options with priority-weighted scoring and Pareto dominance. Shippers get cheapest / fastest / safest picks, a full multimodal comparator, chained hybrid itineraries, saved shipment plans with route health monitoring, and plain-language AI explanations — backed by real data, not fabricated routes.
- Multi-modal route optimization (Road, Rail, Air, Water)
- Hybrid route composition across transport modes
- Priority-aware optimization (Cost / Time / Safety)
- Pareto-based route ranking
- ML-powered delay prediction
- Real-time traffic and weather intelligence
- AI-generated route explanations
- Shipment planning and lifecycle monitoring
- Web + Android support
| Traditional Planning | LogiFlow |
|---|---|
| Single transport mode | Multi-modal comparison |
| Manual evaluation | Automated optimization |
| Static routes | Real-time intelligence |
| No explanations | AI-generated reasoning |
| Separate planning tools | Unified decision platform |
Product Snapshot
Multi-modal logistics planning, optimization, monitoring and decision intelligence.
How It Fits Together
Full diagram set → docs/diagrams
| Layer | What it does |
|---|---|
| Web & Android | Next.js 16 app + Capacitor APK — planners, maps, comparator, saved trips |
| Edge (Vercel) | Same-origin API proxy, compose streaming, backend warmup, Google Sign-In |
| API (Zoho Catalyst AppSail) | FastAPI orchestrator — one endpoint per mode plus hybrid, compose, and planner |
| Pipelines | Road · Rail · Air · Water — each with its own data sources and ML where it matters |
| Decision Intelligence | Gemini intent parsing, Pareto ranking, delay/OTP models, route explanations, trade-off analysis |
| Data | TomTom · RailRadar · OpenFlights · PortWatch · Supabase · Redis · Postgres |
Pipelines at a Glance
| Mode | API | Primary data | Docs |
|---|---|---|---|
| Road | POST /road/optimize |
TomTom · OpenWeather · ML delay | road.md |
| Rail | POST /railway/optimize |
Schedules · tariffs · delay ML · geometry | rail.md |
| Air | POST /air/optimize |
OpenFlights · OTP · international graph | air.md |
| Water | POST /water/optimize |
PortWatch (~350 ports) · sea-lane graph | water.md |
| Hybrid | POST /optimize · /comparator/routes |
All four in parallel | hybrid.md |
| Composer | POST /compose · /compose/stream |
Chained hub templates | architecture.md |
For Developers
Stack: Next.js 16 · React 19 · FastAPI · Python 3.11+ · Supabase · Redis · Zoho Catalyst AppSail · Vercel · Gemini 2.5 Flash
# Backend
cd backend && python -m venv venv && source venv/bin/activate
pip install -r requirements.txt && cp .env.example .env
uvicorn app.main:app --reload --port 8000
# Frontend
cd frontend && npm install
echo "NEXT_PUBLIC_API_URL=http://localhost:8000" > .env.local
npm run dev # → http://localhost:3000| Resource | Path |
|---|---|
| Documentation index | docs/README.md |
| Architecture & API map | docs/architecture.md |
| API request/response schemas | docs/miscellaneous/api_contract.md |
| Deployment (Vercel · Zoho Catalyst · APK) | docs/deployment.md |
| Domain deep-dives (rail data, air OTP, intl routing, …) | docs/miscellaneous/ |
| Presentation kit (slides + diagrams) | docs/ppt-info/ |
| All diagrams (PNG · SVG · Mermaid) | docs/diagrams/ |
Production: logi-flow-solution-challenge-2026.vercel.app · Zoho Catalyst mirror · API health
Team
Built by Neural Foundry for the Google Solution Challenge 2026.
| Member | Focus |
|---|---|
| Kavya Bhatiya | Founder · road pipeline · hybrid scoring · auth/planner · deployment |
| Ojas Srivastava | Technical lead · Next.js · rail · compose · Supabase · GCP |
| Shreya | Water/maritime pipeline · PortWatch · cockpit UI |
| Samanvitha Bolisetty | Air cargo · OTP scoring · international routing |
A Note From The Team
We built LogiFlow because logistics should not be a guessing game. Every farmer, factory owner, and small business deserves the same clarity that large freight desks take for granted — see every option, understand the tradeoff, and ship with confidence.
This repository contains the complete implementation, documentation, deployment assets, and architecture artifacts for our Google Solution Challenge 2026 submission.
— Kavya, Ojas, Shreya & Samanvitha · Neural Foundry · 2026
LogiFlow is designed to help shippers and logistics planners:
- Reduce freight costs through cross-modal comparison
- Reduce planning time from hours to minutes
- Mitigate delay risk using predictive intelligence
- Increase visibility across transport networks
- Enable MSMEs to access enterprise-grade logistics planning
- Improve supply-chain resilience through continuous monitoring and re-optimization
License
Competition submission — team members only. External reuse or redistribution is not permitted.
All rights reserved © 2026 Kavya Bhatiya
Built with ❤️ by Neural Foundry for Google Solution Challenge 2026