§ 01
PROBLEM
PROBLEM
What it had to solve.
The existing routing was manual, static, and didn't adapt to bin-fill sensors. Fuel costs were high and complaints about missed pickups were higher.
Waste Routing — saving 100K liters of fuel a month.
City-scale vehicle routing platform for Lahore Waste Management Company. Clarke–Wright savings algorithm on top of PostGIS + FastAPI, operator UI in Vue.js. Delivered ~100K liters/month fuel savings across Lahore.
Fuel saved
~100K
L / month
Routes optimized
340
daily
Trucks in service
600+
Coverage
Lahore
~11M pop.
§ 02
APPROACH
APPROACH
How it works.
Built a routing service that consumes live bin-state updates, applies Clarke-Wright savings for daily route generation, and serves route plans to a tablet UI for drivers. PostGIS for spatial joins; FastAPI for the service; Vue.js for the operator console.
§ 03
RESULTS
RESULTS
What it delivered.
Rolled out across all LWMC depots. Verified 100K L/month fuel reduction in a six-month field evaluation. Complaint volume dropped ~22%.