Business Outcomes
Load Factor Uplift
Revenue Per Trip
Discount Given
Repeat Bookings
Bussiness Challenge
Transport operators face mounting revenue pressures:
Empty SeatsEmpty seats on off-peak runs equal unrecoverable lost revenue.
Over-discountingAggressive discounting erodes long-term profitability.
Price VolatilityCompetitor pricing and aggregators push fares down, creating volatility.
Complex DecisionComplex trade-offs—add more runs or lower fares?
Rigid PricingStatic or seasonal pricing ignores real-world demand shifts.
Solutions
Service Hive’s Fare Optimization Engine applies advanced AI algorithms to balance demand, occupancy, and profitability.
Dynamic Ticket Pricing
Adjusts fares in real-time based on booking pace, competitor rates, route, and time.
Fill & Yield Tools
Uses micro-discounts and loyalty nudges to reduce unnecessary discounts and improve last-seat sales.
Passenger Analytics
Provides dashboards showing elasticity, occupancy, booking curves, and per-route profitability.
Integration Ready
Seamlessly connects with booking engines, OTAs, aggregators, and CRMs.
Data & Integration
The engine relies on diverse and reliable data sources:
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How It Works
Our proven methodology ensures smooth adoption and measurable results
Discovery (1 week)
Analyze booking logs, competitor prices, route performance, and define KPIs.
Pilot (6–8 weeks)
Apply the fare optimization engine to selected routes, with A/B testing to measure results.
Integration (4–8 weeks)
Connect APIs for automation, set approval guardrails, and enable system-wide scaling.
Optimization (ongoing)
Weekly recalibration to adapt to seasonality, promotions, and market dynamics.
KPI
Service Hive tracks KPIs that matter most for revenue and efficiency
Load Factor %
87.3%
Revenue Per Seat
₹1,240
Price Elasticity
- 0.65
Discount Burn
12.4%
Success Stories
Service Hive has a proven track record of success
We’re not just moving buses.
We’re transforming transportation — with
AI-driven pricing, smarter operations, and higher revenues.
Higher Occupancy
Route X pilot saw +18% occupancy uplift with smarter fare optimization.
Revenue Growth
Operators achieved 15–20% more revenue per trip after dynamic pricing rollout.
Reduced Discounts
Average discount spend dropped by 30% while maintaining higher bookings.
Loyal Customers
Personalized offers increased repeat bookings and customer stickiness.
Smarter Revenue
Operators increased yield per trip with AI-powered fare optimization and real-time insights.
Join leading transport operators who've increased their revenue by 15-20% with our AI-powered fare optimization.