Case Study
Cost & Time Saving with AI Routing
N
By Nitin SinghClient was using Manual Routing and fixed schedules driving costs, low utilization, and unreliable employee commutes.
CASE STUDY
Cost and Time Savings with AI Routing Efficiency
CLIENT SNAPSHOT
Industry: ITES
Cities/Locations: Hyderabad
Problem Statement: Manual routing and fixed schedules driving costs, low utilization, and unreliable employee commutes.
THE CHALLENGE
Manual Routing:
Routes were created manually using spreadsheets or past experience or were left to the transport driver to manage themselves, not real-time traffic data.
No-Shows & Empty Seats:
- If employees cancelled or didn’t show up:
- Cab still ran
- Seats stayed empty
- Fuel + driver time wasted
Unreliable ETAs:
Fixed routes didn’t account for:
- Traffic spikes
- Road closures
- Peak-hour congestion
- Leading to late arrivals and poor employee experience
High Operational Costs:
- No certainty on distances
- Duplicate routes
- Poor seat utilization
- Transport budgets increased without better service
RATHAM’S AI-POWERED SOLUTION
AI Routing:
Dynamic Real-Time Re-routing adjusts routes in real time based on live traffic, shifts, pick-up locations, etc.
AI continuously analyzes:
- Live traffic
- Road closures
- Last-minute schedule changes
- Routes auto-adjust instantly for fastest paths
Reducing No-Shows:
Reducing no-shows and re-routes in real time when an employee cancels the scheduled trip.
Smart Auto Re-Routing for No-Shows:
When employees cancel:
- Route recalculated in seconds
- Stops removed automatically
- Vehicles redeployed efficiently
- Result: near-zero wasted trips
Predictive ETA:
Learns how long a trip actually takes at specific locations to provide ETAs that are often over 99% accurate.
Ensures 99% on-time arrivals.
IMPACT
98% On-Time Arrivals:
Predictable commute improved punctuality and reduced shift delays.
15% Cost Reduction:
Cost reduction in monthly employee transport operations after 3 months.
Achieved through:
- Shorter routes
- Higher seat utilization
- Fewer empty trips
- Optimized fleet size
20 Faster Commutes:
Smarter routing reduced total travel time and employee fatigue.
40% Less Operational Escalations:
Live tracking + automation reduced:
- "Where is my cab?" calls
- Complaints
- Manual firefighting
RESULTS – HIGHER EMPLOYEE SATISFACTION
- Saves employee commute time with accurate ETAs and 99% on-time arrivals
- Reduced wait time and commute time
- Reduced commute distances
- Optimized routes and pick-ups
- Businesses can save up to 15–20% on employee commute operations
Want Similar Results?
Get in touch with our team:
Website: www.ratham.com
Email: Connect@ratham.com
Challenge
Manual Routing - Routes were created manually using spreadsheets or past experience or were left to the transport driver to manage themselves, not real-time traffic data. Unreliable ETAs High Operational Costs
Solution
1: AI Routing -Adjusts routes in real time based on live traffic, accidents, pick-up locations. 2: Reducing No-Shows 3: Predictive ETA
Results
A: 98% On-Time Arrivals B: 15-20% Cost Reduction C: 40% Fewer Operational Escalations D: Higher Employee Satisfaction

