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Designing an operations platform for Lovepop's retail and fulfillment system

Building operational systems that connect customer demand with manufacturing capacity at Lovepop.

RoleUX Principal & Product Manager
CompanyLovepop
TeamCross-functional
Project timeline2024–2025

Context

Lovepop operates a hybrid business combining e-commerce, manufacturing, and fulfillment operations. Each customer order triggers a chain of operational processes across multiple teams.

Marketing campaigns generate customer demand through the commercial website, while internal operational systems manage production, inventory, and fulfillment. Before this project, many of these processes were supported by fragmented tools including spreadsheets and legacy systems, creating operational blind spots between marketing, production, and fulfillment teams.

Production teams often lacked real-time visibility into demand, while marketing campaigns could create demand spikes that operations were not prepared for. Fulfillment teams frequently relied on manual checks to track order status across systems.

Lovepop Global Commerce Infrastructure

From Manufacturing in Vietnam to Customer Delivery in the United States

Demand

Marketing ChannelsSocial Media · Email Campaigns · Partnerships
Lovepop WebsiteProduct Catalog · Shopping Cart · Order Placement · Search and Navigation · Taxonomy

Supply Chain

ManufacturingVietnam · Production Planning · Quality Control · Inventory Sync
International LogisticsShipping Tracking · Customs Clearance

Fulfillment

Order ProcessingOrder Management · Inventory Allocation · Status Tracking
US DistributionWarehouse Storage · Pick & Pack
Customer DeliveryUnited States · Shipping Partners · Delivery Tracking
● Redesigned Systems○ Existing Systems→ Information Flow

Lovepop's global infrastructure connects manufacturing operations in Vietnam with multiple sales channels and distribution logistics across the United States. Redesigns focused on improving visibility and coordination in website orders and fulfillment operations.

How the scope changed

This project began as a website and marketing initiative to improve sales conversion. While working on it, I saw that the backend systems supporting production, inventory, and fulfillment would not scale with the growth the company was targeting, not because they were failing today, but because they would become a bottleneck as demand increased.

I proposed expanding the scope beyond the website to unify the underlying operational systems, and the CTO and Head of Operations sponsored the initiative. Rather than changing how the factory and distribution teams actually worked day to day, I rolled out the changes incrementally, starting with small improvements and gradually building toward larger ones, so operations gained better visibility without disrupting the physical process itself.

Mapping the operational system

I mapped the full lifecycle from customer purchase to fulfillment to identify where information was lost between systems.

Unified operations dashboard

I designed a centralized interface that allowed operational teams to monitor order flow, inventory availability, fulfillment queues, and production bottlenecks.

Website UX improvements

Working closely with the marketing team, we redesigned core parts of the shopping experience, including a new search engine, a new product taxonomy, and a new approach to testing and validating changes before release.
Lovepop product and engineering workshop
Collaborating with engineers during a workshop when the CTO visited the Vietnam development office. This session focused on aligning product architecture and improving operational tooling for global logistics.

Key Problems

Fragmented operational visibility

Manufacturing, inventory, and fulfillment teams relied on separate tools to track order status.

Teams frequently had to manually verify production queue status, inventory availability, and fulfillment backlog.

Operational decisions often required checking multiple spreadsheets and internal tools.

Marketing demand and operational capacity were disconnected

As the scope expanded, this surfaced real friction: marketing campaigns generated demand spikes that internal systems didn't always reflect in real time, occasionally causing inventory mismatches and delayed fulfillment. It wasn't the reason the project started, but it was one of the frictions worth fixing along the way.

Website purchase flows introduced friction

Parts of the commercial website purchase flow were unnecessarily complex, increasing friction during product selection and checkout.

Solutions

Operational visibility platform

A centralized dashboard allowed teams to understand the state of production and fulfillment in seconds instead of manually checking multiple systems.

Removed manual coordination overhead

We consolidated operational data into a shared interface, reducing reliance on manual communication between production, warehouse, and fulfillment teams.

Improved purchase experience

UX improvements simplified the purchase journey and helped marketing campaigns convert more effectively into completed orders.

Impact

Conversion lift

Over the following year, the redesigned website rolled out continuously, including a new search engine and vendor, fully implemented over four months. The resulting lift in conversion rate didn't look large at first glance, but the CTO called it "significant," tracing it back to real revenue impact.

Earned trust from operations

Operations and forecasting teams, having experienced the quality-of-life improvement the tech team brought to their daily work, began requesting more improvements themselves. Production teams at the factory and the procurement team followed the same pattern, shifting from groups that had to be convinced to ones actively pulling tech into more of their process.

Lessons

Validate relentlessly, not occasionally

Improvements shipped through a continuous queue of A/B tests, run back-to-back with no idle gap between them. Taking outcome validation seriously meant treating it as an ongoing discipline, not a step done once per feature.

Data has to match the story it's used to tell

It's easy to reach for a number that supports the narrative you already believe. The harder, and more useful, discipline is making sure the data actually says what you're claiming it says.

Reflection

Working as a PM wasn't new to me, but this project asked more of that muscle than most. I was holding trade-offs across marketing, operations, and engineering daily, while working directly with the CEO, CMO, and Head of Operations in weekly reviews.

Most of it wasn't glamorous work. It was keeping a lot of small decisions coherent while the business kept moving. I happen to like that kind of work.