Building a 0-to-1 AI-enabled commerce platform that empowers 3,000+ merchants to list faster and ship smarter.

Ezze Live began as a livestream marketplace for specialty goods such as vintage fashion, sneakers, and trading cards. As the platform expanded globally, high-volume sellers needed infrastructure that could scale with larger catalogs, more orders, and increasingly complex operations.

As Lead Product Designer, I owned the 0-to-1 strategy and execution of the Ezze Seller Dashboard, architected an AI-empowered web system that aligned complex global supply chain logistics with the demands of high-volume sellers.

Lead Product Designer
Product Managers, Engineering, Sellers

2022 – present

3x

faster listing speed

40%

reduction in fulfillment errors

150%
increase in daily active listings

Expanding to a multi-channel ecosystem broke our legacy workflows. As product complexity and order volumes surged, listing and fulfillment led to extreme merchant fatigue and severe profit erosion.

Challenge #1 1-of-1 Listing BottleneckUnique inventory made bulk-uploading impossible. Sellers had to manually input product data for every single item from scratch, leading to extreme fatigue and operational inefficiency.

Challenge #2 Fragmented Shipment Chaos
Isolated shipments made separate processing mandatory. Sellers were forced to generate individual labels and pack separate boxes for every transaction, causing redundant labor, high shipping costs, and a staggering error rate.

Built for the platform's early days, the initial architecture was rigidly single-channel and highly manual.

Part #1 Listing
Sellers typed every product detail from scratch for every unique item. There was no in-page continuity. Switching sales formats or adding the next item required exiting the page and restarting the entire process.

Part #2 Fulfillment
One item equaled one tracking number. If a buyer purchased 5 items, the system generated 5 separate labels, requiring sellers to physically pack 5 individual boxes.

The Breaking Point: As the business introduced a new Store channel alongside Live Sales, two critical issues emerged.

Issue #1 Listing Blockers
Lacking in-page routing, simply changing a product's destination from "Live" to "Store" meant aborting the task and starting over from a blank form.

Issue #2 Fulfillment Overload
The new channel triggered a surge in order volume, making the 1-to-1 manual shipping model physically and operationally unscalable.

To understand how these system limitations impacted daily operations, I interviewed three distinct merchant types.

#1 Round Two * Sneakers Sellers
Listing volume is manageable, but fulfillment is highly inefficient. When a buyer purchases multiple pairs, the system generates isolated orders. Shipping separate bulky shoeboxes to the exact same address wastes shipping costs and materials.

A workflow to process and group multiple large items for the same buyer together.

#2 LuckThreads * Vintage Clothing Sellers

Every vintage piece is a 1-of-1, requiring sellers to manually type unique product details from scratch. Loyal fans often buy multiple items, but the system forces sellers to ship each item in a separate package.

A faster method to input visual product details without repetitive typing. The ability to pack a single buyer's purchases into one physical box.

#3 ShopHeatCheck * Trading Cards Sellers

Shipping is straightforward for micro-items, but listing is highly time-consuming. Manually typing hyper-specific card details for hundreds of individual cards severely slows down operations.

An efficient way to capture dense, specific product information without slow manual keystrokes.

The Evolution Roadmap, 2022-2025

To address the Stage 1 blockers, we launched a transitional update to support multi-channel scaling.
&What We Built...

#1 Single Page Integration
Both Live Sales (Buy it Now, Auction, Giveaway) and Store were integrated into the same page as independent sections, allowing sellers to list for both channels simultaneously.

#2 Manual AI Assistance
Introduced a click-to-trigger AI tool for image and text extraction.

#3 Auto Bundling
The system automatically grouped items purchased by the same buyer into one shipping label.

Testing this update with our initial merchants revealed a new reality.

The Synthesis: New Operational Frictions
#1 Listing Friction
The monolithic form structure offered zero error isolation, making the process high stakes. Combined with a manual trigger AI, the workflow remained repetitive and fragile.

#2 Fulfillment Friction
Auto bundling was too rigid. It ignored physical constraints like volume and weight, and lacked the flexibility to handle simple order modifications like partial cancellations.

To eliminate the frictions from Stage 2, I led a ground-up redesign focusing on automation, error isolation, and flexible fulfillment.

Part #1 Intelligent Listing

Replaced manual triggers with a seamless "Image-to-Info" flow. The AI automatically extracts product details and predicts package dimensions immediately upon image upload.

The system auto-applies frequent seller choices for categories and shipping. By learning from past behavior, it provides high-probability defaults that allow sellers to breeze through recurring decisions.

To manage expanding channels, I replaced the monolithic long form with Scoped Editing Modules. Channel-specific edits are confined to independent overlays, ensuring any error is isolated and never compromises the entire product entry.

Part #2 Flexible Fulfillment

Shifted from "Forced" to "Suggested" bundling. The system flags potential bundles but requires seller confirmation, allowing for manual overrides when items are too bulky or fragile.

Each sub-order within a bundle maintains its own clear interface. Sellers can process cancellations or partial refunds for a single item without disrupting the workflow for the rest of the shipment.

The feedback confirmed that shifting from manual input to intelligent validation successfully resolved the fatigue of high-volume sellers while providing the flexibility needed for complex logistics.

#1 AI Auto-Fill & Smart Memory
By instantly extracting details from photos and remembering repetitive attributes, the system turned exhausting data entry into a quick verification step. Sellers reported that raw listing times were cut in half, allowing them to process dozens of unique items without heavy keystrokes.

#2 Smart-Suggest Bundling & Independent
Orders Merchants gained the speed of automated label grouping alongside the critical authority to manually split shipments for bulky or fragile combinations. Furthermore, the independent order interface allowed them to process partial refunds without breaking the entire grouped shipment.

Addtionally, #3 Isolated Channel Editing
Scoped modules completely eliminated the anxiety of losing massive forms. Sellers can now safely adjust storefront pricing or live auction bids independently, ensuring that an error in one channel never overwrites the core product data.

Launched in early 2025, the intelligent ecosystem successfully onboarded and scaled over 3,000 registered sellers, driving a significant increase in multi-channel adoption and daily active listings.

By centralizing complex workflows into a single desktop command center, the SDB delivered measurable growth across the platform:

#1 Accelerated Omnichannel Liquidity
By unifying inventory databases, merchants could simultaneously push stock to both live video auctions and standard retail storefronts. This seamless distribution pushed our average daily active listings from roughly 8,000 to over 35,000, directly contributing to a steady 15% lift in quarterly GMV.

#2 Bulk Operational Efficiency
We transformed manual logistics into automated batch processes. Features like bulk shipping label generation and centralized tracking reduced the average order processing time from 4 minutes to under 90 seconds. This allowed top tier merchants to fulfill up to 500 daily orders without expanding their payroll headcount.

#3 High Value Merchant Retention
Providing professional grade management tools created immense platform stickiness. By solving their core back office pain points, we achieved a 94% retention rate among our top earning power sellers, securing a reliable baseline of over 1.2 million active SKUs for our consumer base.