PM Portfolio
Product Manager — Last-Mile Delivery & Smart Locker Network

Smart Locker Platform

"Hong Kong's Largest Last-Mile Delivery Network"

Built and scaled a smart locker ecosystem from zero to 1,000+ locations handling 11 million parcels annually, transforming Hong Kong's last-mile delivery infrastructure.

11M
Parcels / Year
2,000+
Network Locations
5 Yrs
Launch to Market Leader

The Last Mile Was Failing Everyone

Operational data, customer complaints, and field observations revealed a fundamentally broken last-mile delivery model in Hong Kong.

💰

Failed Deliveries Were #1 Cost Driver

Mismatch between delivery windows and customer availability caused repeated attempts, inflating per-order costs and frustrating customers.

🚚

Labor Costs Were Unsustainable

Manual door-to-door delivery in dense high-rises required multiple elevator trips and long walking distances, making human-only delivery unviable at scale.

🔒

Security Eroded Customer Trust

Package theft, damage, and loss at unattended doorsteps were persistent complaints, particularly for high-value items from premium brands.

🌐

Fragmented Last-Mile Infrastructure

No unified network connected logistics providers, merchants, and consumers. Each carrier operated independently, duplicating effort with coverage gaps.

Who We're Building For

Primary User

The Urban Consumer

Hong Kong residents in high-rise apartments who shop online frequently but are rarely home during delivery hours. Failed first-attempt deliveries exceeded industry benchmarks.

  • Collect parcels on their own schedule from a nearby locker
  • Receive real-time pickup notifications and reminders
  • Trust that parcels are stored securely with CCTV
Secondary User

The Logistics Partner

Courier companies (S.F. Express, UPS) handling high-volume daily deliveries. Drivers spent 30-40% of time on failed delivery reattempts.

  • Drop off multiple parcels at a single locker in one stop
  • Access open API for tracking and locker reservations
  • Eliminate failed deliveries and reduce per-order cost
Extended User

The E-Commerce Merchant

Online retailers and DTC brands shipping hundreds of orders daily, seeking reliable last-mile options that reduce failed deliveries.

  • Offer smart locker pickup as a checkout option
  • Reduce return rates from failed deliveries
  • Access fulfillment platform for gift redemption campaigns

Own the Infrastructure, Win the Network

By owning the physical last-mile infrastructure (smart lockers + micro-warehouses) rather than competing on delivery labor, we can build a defensible network effect where more locations drive more logistics partners, which drives more consumers, which attracts more merchants.

vs. Traditional Couriers (S.F. Express, Kerry Logistics)

They optimize driver routes; we eliminate the need for door-to-door delivery entirely.

vs. Convenience Store Pickup

We partnered with 800 convenience stores rather than competing against them, converting them into extended network nodes while our smart lockers handled the high-volume, 24/7 automated overflow that stores couldn't support.

vs. Other Locker Providers

We combined lockers with micro-warehouse sorting, in-house delivery teams, and an open API platform — a full-stack logistics solution, not just hardware.

📈 E-Commerce Surge

Hong Kong parcel volume growing 15-20% year-over-year

🏙 Urban Density

High-rise environment made door-to-door delivery increasingly uneconomical

🏛 Smart City Push

Government infrastructure initiatives created regulatory tailwinds

What We Chose

Build an in-house delivery team alongside third-party partnerships to control quality and cost

What We Said No To

Pure asset-light marketplace model — we needed to own the physical infrastructure to guarantee service levels

What We Chose

Expand to 2,000+ points via convenience store partnerships for coverage

What We Said No To

Owning all locations exclusively — capital-intensive and slower to scale

What We Chose

Open API platform for partner integration

What We Said No To

Closed ecosystem — would have limited network growth and partner adoption

Build, Measure, Scale

2015-2016

Foundation

Deploy core smart locker hardware and validate unit economics with an in-house delivery team before external scaling.

2017-2018

Efficiency

Automate sorting to handle growing volume — full and semi-automated systems serving 1,000+ lockers, plus logistics provider partnerships to extend reach.

2019

Experience

Elevate the platform from utility to brand differentiator — AI facial recognition lockers with YSL Beauté, gift redemption programs, express delivery service.

2020

Dominance

Saturate the market — 800 convenience store partnerships expanding to 2,000+ points, 11M annual parcels, largest last-mile network in Hong Kong.

📊

Data-Driven Deployment

Tableau-based visualizations to forecast capacity demand by district, prioritizing locker placement in high-density, high-traffic areas rather than uniform distribution.

📦

Locker as Micro-Warehouse

Designed lockers as active logistics nodes — parcels sorted overnight at transit hubs, transferred to micro-warehouses, then distributed to lockers. Eliminated the "hub to door" model.

🚚

Hybrid Fleet Strategy

Integrated in-house delivery teams with third-party logistics (S.F. Express, UPS). Built a cost model optimizing per-order spend while maintaining service quality.

📞

Smart CS (IVR + Cloud CCTV)

IVR voice navigation for self-service resolution and cloud CCTV for remote anomaly detection — replacing on-site staff with scalable, tech-enabled support.

✕ Same-Day Guarantees

Prioritized reliability and cost efficiency over speed promises that would strain the network.

✕ Cold Chain Lockers

Scoped out refrigerated storage to avoid hardware complexity and regulatory burden.

✕ Returns Processing

Deprioritized reverse logistics to keep locker turnover high for outbound deliveries.

From Zero to Market Leader in 5 Years

11M
Parcels / Year
27K
Daily Locker Deliveries
1,000+
Smart Locker Locations
2,000+
Total Network Points
800
Store Partners
🏆

Market Leadership

Established Hong Kong's largest last-mile delivery network, becoming the default infrastructure for major logistics partners.

💎

Premium Brand Partnerships

Secured collaborations with YSL Beauté for AI-powered facial recognition smart lockers, proving platform value beyond utility.

🌐

Ecosystem Creation

Built an open API platform adopted by S.F. Express, UPS, and other carriers, transforming from single operator to logistics ecosystem.

📈

NPS Improvement

Smart customer service (IVR + cloud CCTV) measurably reduced complaints and increased customer satisfaction scores.

Operational Efficiency

Automated sorting systems and capacity alerts reduced failed deliveries and improved locker turnover through data-driven reallocation.

What This Project Taught Me

1

Designing for Scalability Early

The decision to build modular infrastructure — separating locker hardware, sorting systems, and API layers — meant scaling from 100 to 1,000+ locations didn't require re-engineering the core platform.

2

Leveraging Customer Insights Continuously

Cash-back pickup incentives and capacity alerts both emerged from observing real user behavior — pickup times, utilization patterns, complaint trends — not pre-launch assumptions.

3

Building Alignment Across Teams

Every product decision — from micro-warehouse design to convenience store partnerships — required alignment across engineering, operations, and commercial teams. The strongest outcomes came when all three moved together.

4

Cultivating a Data-Driven Culture

Tableau dashboards became the shared language across teams — from locker placement decisions to cost model optimization to partner performance tracking. Metrics guided priorities at every stage.

This project shaped how I approach subsequent product initiatives — with stronger strategic foresight, deeper user empathy, and a relentless focus on long-term value creation. The smart locker platform remains a cornerstone of my career, exemplifying my commitment to building products that drive efficiency, trust, and meaningful impact at scale.