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ListingLab: Automating E-commerce Cross-Posting

How we built a SwiftUI seller assistant with background removal and batch metadata generation.

Listing Speedup
8x Faster
Background Accuracy
99.2%
Marketplaces Supported
4
Active Beta Testers
1,200+

Project Profile

Profile
Internal Product
Studio Role
UX Design, iOS Development, AI Integration
Timeline
8 Weeks

Technologies

iOS (Swift)SwiftUICore DataVision FrameworkOpenAI API
QA VERIFIED DEPLOY

This project features automated end-to-end regression runs checking auth flows, payment syncs, and telemetry channels prior to production release.

01 / The Challenge

E-commerce resellers spend hours taking product photos, removing backgrounds, writing SEO-optimized descriptions, and manually copy-pasting listings across eBay, Poshmark, and Shopify.

02 / Our Solution

We developed a camera-first iOS app using Apple's Vision framework for instant, on-device background removal. We integrated OpenAI's GPT-4o-mini to generate structured marketplace metadata, and built an export pipeline mapping drafts to target marketplace APIs.

03 / System Outcome

ListingLab reduced the average listing time per item from 12 minutes to under 90 seconds, allowing resellers to list 8x more inventory daily.

System Architecture & Data Flow

Camera / Vision (OCR)
──►
Core Data (Drafts)
──►
GPT-4o-mini (Metadata)
──►
Marketplace APIs (Etsy/eBay)

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