I. Analysis of Southeast Asia’s “Last-Mile” Pain Points
Southeast Asia’s low “last-mile” delivery efficiency primarily faces the following challenges:
- Infrastructure Constraints
Road congestion (e.g., Bangkok, Jakarta, Manila)
Difficulty covering remote areas (Indonesian archipelago, mountainous areas of the Philippines)
Chaotic address systems (non-standardized, relying on landmarks rather than house numbers)
- High Delivery Costs
Mainly motorcycle delivery (small single-trip loads, high costs)
Rising labor costs (courier salaries in Vietnam and Thailand increase by over 10% annually)
High return rates (e-commerce order return rates reach 15-30%)
- Technical and Management Shortcomings
Low logistics informationization (reliance on telephone communication, lack of intelligent scheduling)
Scattered delivery points (less than 20% coverage of self-collection lockers)
Reliance on cash payments (over 60% of COD payments, increasing delivery time)
II. Six Strategies to Address the “Last-Mile” Problem
Strategy 1: Optimizing the Delivery Network
✅ Establish a diversified delivery model
Urban centers: Electric vehicles/scooters + smart lockers (e.g., Singapore’s Ninja Van)
Suburban/rural areas: Partner with local stores (e.g., Warung, Indonesia)
Island areas: Pilot programs using drones/speedboats (GrabExpress is currently testing in the Philippines)
✅ Develop a network of self-collection points
Partner with convenience stores such as 7-Eleven and Circle K (80% coverage in Thailand)
Use community supermarkets/gas stations as parcel collection points
📌 Case study:
J&T established 15,000 self-collection points in Indonesia, reducing delivery costs by 25%
Strategy 2: Technology-driven efficiency improvements
✅ Intelligent route planning
Use AI algorithms to optimize delivery routes (e.g., Lalamove’s dynamic scheduling)
Real-time traffic data integration (avoiding congestion periods)
✅ Automated sorting and notifications
Automatic pickup code push via SMS/WhatsApp
Facial recognition pickup (already available at some lockers in Singapore)
📌 Data:
Route optimization systems can reduce delivery drivers’ travel distance by 20%
Strategy 3: Promote cashless payments
✅ Reduce reliance on cash on delivery (COD)
Offer online payment discounts (e.g., Lazada encourages e-wallet payments)
Prioritize delivery for prepaid packages
✅ Digital payment tools
Equip delivery drivers with portable POS terminals (a model inspired by GrabFood)
Partner with local e-wallets (e.g., DANA, OVO)
📌 Results:
Every 10% increase in e-payment penetration increases delivery efficiency by 8%
Strategy 4: Crowdsourcing and shared logistics
✅ Uber-style crowdsourcing delivery
Encourage part-time delivery by private cars and motorcycles (e.g., GoSend, Lalamove)
Dynamic pricing incentives during peak hours
✅ Community-based shared delivery
Combined delivery for orders from the same community (e.g., Shopee’s “Group Buy Delivery” model)
📌 Case study:
GrabExpress uses a crowdsourcing model in Vietnam, achieving 95% coverage
Strategy 5: Localized partnerships
✅ Alliances with local logistics companies
Chinese logistics providers + local express delivery (e.g., Jitu’s acquisition of Best Inc.’s Southeast Asian operations)
Transforming traditional postal networks (e.g., Thailand Post’s “Last Mile Plus” program)
✅ Leveraging social media for coordination
Facebook/WhatsApp group pickup notifications
Official Line accounts provide real-time tracking
Strategy 6: Policy and standardization promotion
✅ Promote address system standardization
Malaysia’s MyPostcode program (postal codes accurate down to the street level)
Google Maps + local landmark database
✅ Government-business collaboration
Indonesia’s “1000 Digital Post Offices” program (rural coverage)
Vietnam’s electric vehicle delivery subsidy policy
III. Country-specific solutions
Country Core Issues Best Practices
Indonesia: Fragmented islands and poor transportation: Gojek’s crowdsourcing network + community-based Warung collection points
Thailand: Severe traffic congestion in Bangkok: Motorcycle and subway delivery (Kerry Express)
Vietnam: Low rural coverage: Postal network + electric vehicle fleet (Viettel Post)
Philippines: Typhoon impacts logistics: Churches/schools serve as temporary distribution centers
Malaysia: Low e-payment penetration: 7-11 pickup points + Touch’n Go e-wallet
Singapore: High labor costs: Drones + automated delivery lockers
IV. Future Trends and Innovation
- Unmanned delivery technology
Drone pilot program (Singapore Post to expand testing in 2024)
Autonomous delivery vehicles (Bangkok CBD area trial, Thailand)
- New energy logistics network
Vietnam/Thailand: Promoting electric motorcycle delivery
Solar-powered refrigerated boxes (Sayurbox fresh food delivery in Indonesia)
- Metaverse and Virtual Warehousing
AR Navigation Assists Delivery Drivers with Route Finding
Digital Twins Optimize Warehouse-End-of-Line Flow
V. Implementation Recommendations
Short-Term (0-6 Months):
Contracting with Local Convenience Stores as Pickup Points
Launching an Intelligent Route Planning System
Mid-Term (6-12 Months):
Promoting Electronic Payments to Over 50% of the Total
Piloting a Crowdsourced Delivery Model
Long-Term (1-3 Years):
Investing in Automated Sorting Centers
Participating in Government Address Standardization Projects
VI. Success Case Studies
Case Study: Lazada’s “Last Mile” Transformation in Indonesia
Problem: Delivery Time in Jakarta Exceeds 72 Hours, Complaint Rate 30%
Solution:
Establishing 2,000 Community Collection Points
Introducing an AI Route Planning System
Training Delivery Drivers in Using Electronic Signature Tools
Results:
Average Delivery Time Reduced to 24 Hours
Costs Reduced by 18%
Summary: Breaking through the “Last Mile” in Southeast Asia requires a three-pronged approach: technology application, local collaboration, and policy adaptation. Prioritize building a self-pickup network, optimizing routes, and transforming payments, then gradually transition to long-term solutions like automation and new energy. The key is to flexibly adapt to the specifics of each country’s market; there’s no one-size-fits-all solution.