Name: GoPeople Last-Mile Route Optimization Case Study | Mobility Infotech Logistics
Brand: Mobility Infotech Logistics
Rating: 5 (289 reviews)

content

About
Challenges
Quote
Market Opportunity
Solutions
Results & Business Impact

By leveraging intelligent route optimization and live tracking, GoPeople significantly reduced delivery delays, improved fleet utilization, and optimized last-mile parcel transportation, enabling faster, on-time deliveries, better dispatch coordination, and measurable cost efficiencies across its high-volume metropolitan delivery operations Success Story.

GoPeople is a leading Australian last-mile delivery network, recognised across the APAC region for connecting retailers and businesses with a flexible fleet of drivers for same-day, on-demand, and scheduled deliveries. The platform supports a wide range of delivery needs from small parcels to bulky goods - serving e-commerce merchants, retailers, and enterprises across major Australian cities. With a strong focus on speed, reliability, and customer experience, GoPeople relies on efficient, optimized routing to move parcels seamlessly from warehouses and stores to customers' doors.

Challenges

Managing high volumes of deliveries across multiple retailers and tight time windows created significant challenges in maintaining real-time visibility and efficient routing. Manual dispatch and limited tracking made it difficult to assign and sequence deliveries accurately, leading to delays and underused vehicles. As delivery volumes expanded across metropolitan areas, the lack of centralized, optimized routing further complicated decision-making, reducing the ability to respond quickly to demand fluctuations and impacting service reliability and customer experience.

When managing large-scale last-mile delivery, inefficient routing and limited visibility created major challenges. With Mobility Infotech Logistics' intelligent route optimization and live tracking, we gained real-time control over our entire delivery network, significantly improving delivery punctuality, dispatch coordination, and operational efficiency across all service areas while ensuring more reliable, consistent service at scale.

Olivia Brooks

Director of Last-Mile Operations

Market Opportunity & Operational Gaps

The Hidden Cost of Unoptimised Last-Mile Delivery

Manual route planning consumed significant dispatcher hours and was highly error-prone.
Parcels heading to nearby addresses were rarely grouped, wasting vehicle capacity.
Empty return trips and overlapping routes pushed up fuel and fleet costs.
Limited route visibility made it impossible to proactively manage delays or disruptions.
Low fleet utilization forced reliance on a larger driver pool than operations required.

The Value of Intelligent Route Optimization

Optimized pickup and drop sequences shortened travel distance and improved on-time performance.
Intelligent delivery grouping maximized vehicle capacity and cut the total number of trips.
Dynamic re-routing during demand spikes kept operations punctual despite sudden volume changes.
Higher fleet utilization lowered fuel, workforce, and overall operational costs.
A scalable optimization foundation supported rising delivery volumes without expanding the fleet.

Solutions

Mobility Infotech Logistics deployed an end-to-end, route-optimization-powered last-mile delivery platform built for GoPeople's fast-paced metropolitan delivery environment. The optimization engine continuously evaluates real-time availability, route proximity, ETAs, and demand to generate the most efficient driver–vehicle–route combinations for every delivery. Pre-defined pickup and drop locations, advanced scheduler settings, and intelligent auto-assignment keep routing accurate and consistent, while flexible assignment modes give dispatchers full control. A real-time dispatch console with live GPS tracking, instant re-assign and unassign tools for demand spikes, and multi-client route grouping ensure punctual, cost-efficient delivery at scale, all supported by automated reporting and built-in chat.

Key Solution Highlights

Intelligent Route Optimization Engine - generates the most efficient pickup, drop, and delivery-grouping sequences using real-time availability, proximity, and ETAs.
Smart Auto-Assignment & Delivery Grouping - assigns optimal drivers and groups nearby deliveries to maximize capacity and eliminate double bookings.
Real-Time Dispatch Console with Live Tracking – Monitor routes, track deliveries, view precise ETAs, and receive delay alerts.
Dynamic Re-Routing for Demand Spikes - instant re-assignment and new driver–vehicle–route combinations within seconds during volume surges.
Multi-Client Route Optimization - a single driver serves multiple retailers along overlapping routes, maximizing utilization and cutting costs.

Results & Business Impact

Metric	Impact
Route Efficiency	30% reduction in total delivery distance and fuel consumption	Scalability AI routing engine scales effortlessly to optimise growing delivery volumes across multiple warehouses, retailers, and metropolitan service areas.
On-Time Delivery	96% on-time delivery rate with live tracking and ETAs
Customer Satisfaction	96% on-time service with accurate ETAs across all service areas	Performance Automated dispatch and intelligent routing ensure reliable, punctual parcel delivery and a consistent service experience across all last-mile operations.
Operational Costs	32% reduction in operational expenses
Fleet Utilization	38% more deliveries per driver daily