Optimal Route — Cut last-mile cost in weeks, without touching the promise
Objective: unlock immediate savings and higher fleet utilization while keeping on-time promise intact.
What is Optimal Route?
Data-driven routing that selects the optimal sequence by distance, time, promised date and fleet capacity; used by route planners, DC associates and drivers.
Key KPIs
Cost of delivery (km+time)
In-full (trucks fully loaded)
On-time (meets promise)
Fleet capacity utilization
Stakeholders
Ops: DC planners & dispatch
Drivers & last-mile associates
Product / DS / Eng / UX
Finance: savings validation
Expected Benefits
Immediate savings (short time-to-value)
Low CX risk (no promise change)
Pilotable & measurable with clear weekly ROI
Resilience to traffic, weather & peaks
Roadmap & Milestones
0M3M9M15M
Mockups
Baseline KPIs
Usability tests
Algorithm v1 → Pilot ready
Pilot in 1 node → Beta (10 nodes)
Execute Beta in 10 nodes (3M)
National rollout
Phase 1
Phase 2
Phase 3
● milestone