Shippit: Optimize Outcomes Over Routes in Last-Mile
Australia's last-mile delivery market reaches USD 4.19 billion in 2026 on the back of surging e-commerce parcels, yet fleets still wedded to traditional route planning are watching margins shrink as every inefficient kilometre erodes profits and customer loyalty.
Key takeaways
- •E-commerce propelled the Australian last-mile sector from USD 3.9 billion in 2025 to USD 4.19 billion in 2026 and is forecast to hit USD 5.96 billion by 2031 at a 7.32% CAGR, but labor costs near AUD 25 per hour and fuel inflation have turned static route optimisation into a losing strategy.
- •Platforms launched mid-2025 introduced real-time AI that weighs delivery windows, vehicle constraints and business priorities simultaneously, delivering documented 12% efficiency gains and 15% higher fleet utilisation for specialised sectors including retail hardware and healthcare.
- •The overlooked tension pits pure distance minimisation against outcome maximisation: urban kerb restrictions, February 2025 gig-driver reclassification rules and patchy EV charging infrastructure reward dynamic systems that accept slightly longer routes to secure higher on-time rates and repeat revenue.
Last-Mile Outcome Shift
Last-mile delivery has become the sharp end of Australian retail economics. Parcel volumes through Australia Post alone climbed 7.6% year-on-year into the 2025 peak, pushing the final delivery leg to consume up to half of total shipping costs for many online merchants. Consumer tolerance for delays has collapsed; 35% now say they will pay premiums for same-day service, while reliable windows rank as the top driver of repeat purchase decisions.
Conventional route optimisers, designed decades ago for static schedules and uniform loads, falter under today's volatility. Traffic, weather events, or a single missed time window cascades into idle vehicles and failed deliveries. The July 2025 debut of AI-orchestration tools marked the inflection: instead of minimising total kilometres, these systems continuously re-rank every stop according to revenue impact, customer lifetime value and regulatory compliance.
The stakes are concrete. Retailers in fashion, home improvement and pharmaceuticals operate on thin margins; a sustained 10% rise in failed first-attempt deliveries can wipe out quarterly profit. Regional growth adds pressure—Northern Territory parcel volumes rose 12.4% in 2024—where sparse density makes every extra kilometre disproportionately expensive. At the same time, corporate net-zero commitments and government EV incentives clash with lagging commercial charging networks, forcing operators to trade fuel savings against capital outlays.
Non-obvious angles compound the challenge. Optimising solely for efficiency can degrade service in time-critical B2B segments, while over-prioritising speed inflates costs in low-density postcodes. Gig reclassification rules introduced in February 2025 have already lifted per-stop expenses by up to 15% for some platforms. The winners will be those whose technology treats the route not as an isolated puzzle but as one input into a broader profit equation—balancing density, sustainability and satisfaction in real time.
Sources
- https://www.mordorintelligence.com/industry-reports/australia-last-mile-delivery-market
- https://ecommercenews.com.au/story/shippit-unveils-ai-driven-nowgo-platform-to-boost-last-mile-delivery
- https://www.linkedin.com/posts/shippit_stop-planning-routes-start-optimising-business-activity-7427109114650132480-1s63
- https://www.shippit.com/blog/steering-into-the-second-half-of-2025
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