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Corporation View
1 Sep – 30 Sep 2026
SN
Data Integration
Connect Your Existing Systems
Use the data already generated by your existing transport systems. No replacement required — QPo reads the data, standardises it and converts it into actionable transport intelligence.
Your existing infrastructure remains unchanged. QPo only reads the data through a secure, one-way integration.
ETM / Ticketing
Passenger journeys
Fare & revenue
Origin–destination
Not connected
GPS / AVL
Vehicle movement
Trip completion
Travel time
Not connected
Schedules
Routes
Trips
Timetables
Not connected
Fleet & Depot Data
Bus inventory
Depot allocation
Maintenance
Not connected
Financial Data
Revenue
Operating cost
Depot performance
Not synced
Secure Integration
- REST APIs
- Direct database connection
- SFTP / scheduled feeds
- No write-back to source
QPo Transit Intelligence Layer
APIs · Database integration · Scheduled data feeds
Ingest›
Validate›
Combine›
Analyse›
Visualise
Your Data, Your Control
- Read-only integration
- Encrypted in transit and at rest
- Hosted per authority policy
- No change to existing systems
Connection Status
Refreshed every 15 minutes Refresh
| System | Status | Last Data Update | Data Period | Records | Integration Method | |
|---|---|---|---|---|---|---|
| ETM / Ticketing | Pending | 10 Oct 2026, 11:35 | 1 Sep – 10 Oct 2026 | 12,46,352 trips | API (REST) | View Details |
| GPS / AVL | Pending | 10 Oct 2026, 11:38 | Live | 1,842 buses | API (REST) | View Details |
| Schedules | Pending | 10 Oct 2026, 10:20 | Sep 2026 | 18,420 trips | Database | View Details |
| Fleet & Depot | Pending | 10 Oct 2026, 09:10 | Sep 2026 | 2,372 records | SFTP (daily) | View Details |
| Financial Data | Pending | 10 Oct 2026, 08:45 | Sep 2026 | 8,192 records | Database | View Details |
Corporation Overview
Transport Operator Network Overview
One view of the entire corporation. Key performance, operations, revenue and service health across all districts and depots.
Ask QPo Copilot
Network Performance Trend
Passengers / dayRevenue (₹ L)
District Performance
| District | Passengers | Revenue | Active Buses | Utilisation | Adherence |
|---|
Top Performing Routes
View All| Route | Passengers / day | Revenue / day | Utilisation |
|---|
Lowest Performing Routes
View All| Route | Passengers / day | Revenue / day | Utilisation |
|---|
Service Alerts
View AllDistrict Intelligence
District / Division Performance
Compare performance across districts and divisions. Identify high performing regions and areas that need attention.
DistrictKalaburagi
DivisionAll Divisions
MetricPassengers
Export Data
Districts in Operator Network
PassengersDistrict Performance
Export Data| District | Passengers | Revenue | Buses | Cost / km | Revenue / km | Utilisation | Adherence | Trend |
|---|
Key Insights
Kalaburagi has the highest ridership and revenue
+12% growth this month, driven by the Kalaburagi–Yadgir and Kalaburagi–Sedam corridors.
Yadgir and Vijayapura show lower utilisation
Both districts are 10+ points below the network average and require a service review.
Schedule adherence is above 86% in 5 of 7 districts
Raichur and Yadgir need attention — both are below the 90% corporation target.
Passengers by District
PassengersRevenue by District
RevenueDepot Performance
Kalaburagi Depot ▾
Operational and financial health of the depot. Monitor fleet utilisation, service delivery and costs.
Fleet Status
Kilometres and Revenue Trend
Kilometres operatedRevenue (₹ L)
Depot Insights
Passenger revenue increased 8% this month
Driven by higher ridership on KA-01 and KA-07.
Schedule adherence is 92%, above target
Continue current operations.
5 schedules consistently below 40% utilisation
Candidates for retiming or consolidation.
48 buses are under maintenance
Higher than last month (42) — fleet age is the main driver.
Route Intelligence
KA-01 Kalaburagi – Yadgir ▾
Detailed performance and passenger demand for each trip, stop and time period.
KA-01
Route Map
Passenger DemandPassenger Demand by Time of Day
PassengersOrigin – Destination (Top Flows)
PassengersLoad Factor by Trip
Seats availablePassengersUtilisation
Stop-wise Passenger Activity
Boardings & Alightings| Stop | Boardings | Alightings | Total |
|---|
Trips for KA-01 (Kalaburagi – Yadgir)
View All Trips| Trip No. | Departure | Arrival | Bus No. | Passengers | Revenue | Utilisation | Status |
|---|
AI Insights
Morning peak demand (8–10 AM)
Above 115% utilisation. Consider an additional morning service.
Excess capacity in the afternoon
Between 2–5 PM utilisation falls below 50%. Schedules can be combined.
High-demand stops
Wadi and Chittapur show heavy boarding activity — consider limited-stop services.
Area & Corridor Planning
Passenger Demand and Service Coverage
Understand where people are travelling, how the network is operating and where service gaps exist.
DistrictKalaburagi
DepotAll Depots
Time of DayAll Day
ViewPassenger Demand
Download Map
Key Insights
High-demand corridor
Kalaburagi – Sedam shows consistently high demand throughout the day. Current services are operating at >95% utilisation during peak hours.
Under-served areas
Chincholi and parts of Afzalpur show significant passenger demand with limited or no direct services.
Route overlap
Multiple routes operate on the Kalaburagi – Yadgir corridor with similar alignment. There may be scope for rationalisation.
Top Demand Corridors
View All| Corridor | Pax / day | Utilisation | Status |
|---|
Areas Needing Attention
View All| Area | Issue | Demand | Recommendation |
|---|
Fleet Planning
Optimal Bus Deployment
Use passenger demand, current fleet, route load and schedule performance to identify where additional buses are needed and how to deploy them.
Deployment Analysis
Add busesIncrease frequencyReallocateNo change
Fleet Planning Scenario
ResetAdditional buses0
AI Recommendation
Recommended deployment plan
Adding 20 buses lifts network utilisation from 67% to 75% and serves about 18,500 more passengers per day.
+18,500
Passengers per day
+8%
Network utilisation (67 → 75%)
₹3.2 L
Additional daily revenue
12% lower
Overcrowded trips
Recommended Deployment by Depot
Export Plan| Depot | Current | Change | Recommended | Key Routes | Reason |
|---|
Network Utilisation Comparison
CurrentAfter deployment
Procurement Intelligence
Fleet Requirement and Replacement Planning
Identify replacement needs, estimate future fleet requirements and plan procurement based on actual demand and network performance.
Next 12 months Export Plan
Fleet Age Distribution
2,372 busesProjected Replacement Plan
ReplacementDemand growth
Additional Buses by Depot (Next 12 Months)
View All| Depot | Replacement | Demand Growth | Total Required |
|---|
Fleet Requirement Map
HighMediumLow
Route-wise EV Suitability
View All| Route | Daily km | Daily Passengers | Suitability | Recommendation |
|---|
AI Insights
42 additional buses required in the next 12 months
28 for replacement and 14 for demand growth, based on current ridership trends.
12 buses can be reallocated
Underutilised buses in Koppal and Vijayapura can be redeployed before new procurement.
EV suitable on 6 high-demand routes
These routes have predictable schedules and depot charging feasibility.
428 buses will reach 10+ years within 2 years
Plan procurement early to avoid service disruption.
Finance Intelligence
Finance Intelligence
Understand revenue, cost and financial performance across the corporation, districts, depots and routes.
Revenue and Cost Trend
RevenueOperating costSurplus
Revenue by Ticket Type
All Depots₹10.2 L
Total revenue
Top Revenue Generating Routes
View All| Route | Revenue (₹) | Passengers / day | Revenue / km |
|---|
Depot-wise Financial Performance
View All| Depot | Revenue (₹) | Cost (₹) | Surplus / Deficit | Revenue / km | Cost / km |
|---|
Cost Breakdown
All Depots₹8.4 L
Total cost
Collection Channels
September 2026₹10.2 L
Collected
Route Profitability Analysis
View All| Route | Revenue (₹) | Cost (₹) | Profit / Loss | Rev / km | Status |
|---|
Collection Anomaly Detection
View All| Date | Depot / Route | Observed | Expected | Variance | Status |
|---|
Ask Finance Copilot
Transport Intelligence Copilot
Transport Intelligence Copilot
Ask questions in your own language. Get insights from the operator's actual operational data with clear analysis and recommendations.
Management
Overall performance
Planning
Routes & network
Operations
Fleet & schedules
Finance
Revenue & cost
Depot Manager
Depot performance
Procurement
Fleet requirement
Ask your question
Planning
Upload a file
Use this analysis
Save to project
Route Demand Analysis — KA-01
KA-01PassengersBus capacityOver capacity
KA-01 Summary
| Daily passengers | 12,480 ▲14% |
| Current buses | 12 |
| Peak utilisation | 138% |
| Avg utilisation | 82% |
| Recommended buses | +2 |
| Additional pax / day | +4,800 |
Route Map — KA-01 (Kalaburagi – Yadgir)
High demand stopMediumNormal
Alternative Analysis
| Option | Buses | Pax / day | Cost / day | Revenue / day |
|---|
Suggested Questions
Scenario Planning
Evaluate and Compare Scenarios
Test different network, frequency and fleet options to understand the impact on ridership, coverage, cost and emissions.
1
Create ScenarioAdjust service parameters
2
Analyse ImpactCompare KPIs and maps
3
Refine and SaveSelect the best option
Scenario Settings
ResetScenario name
Increase frequency on KA-01 and KA-04
Adjust parameters
Add additional route
Other parameters
Service hours5:30 AM – 11:00 PM
Fleet allocation+ 2 buses
Network Comparison
Route-wise Impact
View All| Route | Current | Scenario | Pax / day now | Pax / day after | Change | Status |
|---|
Key Impact Comparison
CurrentScenario
Current
Scenario
Passenger Demand Heatmap (Scenario)
AI Recommendation
Adding one additional morning service captures most of the expected passenger benefit at significantly lower operating cost than deploying two buses throughout the day.
Network utilisation improves from 67% to 75%, reducing overcrowding during peak hours.
Emissions may increase 5% — consider EV buses for the new allocation.
One Intelligence Layer for Every Department
Existing Transport Data
ETM / Ticketing
GPS / AVL
Fleet
Schedules
Finance
QPo Transit Intelligence Layer
Ingest · Validate · Combine · Analyse · Visualise
Management
Network performance & priority issues
Planning
Routes, frequencies, corridors & service gaps
Operations
Fleet deployment & schedule performance
Depot Teams
Daily operations & bus utilisation
Finance
Revenue, cost & collection intelligence
Procurement
Fleet requirement & replacement planning
Policy / Leadership
Scenario comparison & investment decisions
Dashboard tells youWHAT HAPPENED
Copilot explainsWHY IT HAPPENED
Simulation helps decideWHAT TO DO NEXT
One intelligence layer over the transport systems you already use.