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Introduction

Gati provides AI-powered route optimization, demand forecasting, and fleet analytics for logistics and mobility companies.

Optimize Routes

Find optimal routes for deliveries

Track Fleet

Real-time fleet tracking

Predict Demand

Demand forecasting

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Key Features

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Route Optimization

  • Vehicle Routing Problem (VRP) solving at scale
  • Support for time windows, capacity constraints
  • Real-time traffic integration
  • Multi-depot and multi-day planning

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Demand Forecasting

  • Predict demand by location and time
  • Factor in events, weather, holidays
  • Indian market-specific patterns (festivals, cricket matches)

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Fleet Analytics

  • Real-time vehicle tracking
  • Driver performance scoring
  • Maintenance prediction
  • Fuel efficiency analysis

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Quick Example

from rotavision import Rotavision

client = Rotavision()

# Optimize delivery routes
result = client.gati.optimize_routes(
    vehicles=[
        {"id": "v1", "capacity": 100, "start_location": {"lat": 12.97, "lng": 77.59}},
        {"id": "v2", "capacity": 100, "start_location": {"lat": 12.97, "lng": 77.59}}
    ],
    orders=[
        {"id": "o1", "location": {"lat": 12.93, "lng": 77.63}, "demand": 10, "time_window": ["09:00", "12:00"]},
        {"id": "o2", "location": {"lat": 12.95, "lng": 77.55}, "demand": 15, "time_window": ["10:00", "14:00"]},
        # ... more orders
    ],
    options={
        "optimize_for": "distance",
        "traffic": True,
        "return_to_depot": True
    }
)

for route in result.routes:
    print(f"Vehicle {route.vehicle_id}: {len(route.stops)} stops, {route.distance_km:.1f} km")

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Endpoints

MethodEndpointDescription
POST/gati/routes/optimizeOptimize routes
GET/gati/routes/{id}Get optimization result
POST/gati/fleet/trackUpdate vehicle locations
GET/gati/fleet/vehiclesList vehicles
GET/gati/fleet/vehicles/{id}Get vehicle details
POST/gati/demand/predictPredict demand
GET/gati/analytics/summaryFleet analytics