Jewelry Retailer – Image QA Tool
Delivered a robust MVP in 4 weeks, cutting manual editing by 60%.
- Requirements document outlining core workflows
- Functional MVP for image automation and QA
- Interactive storyboards and wireframes
- Design to MVP sprint facilitation
- Discovery and ideation workshops
- UX/UI design and storyboarding
- Rules engine
- Prompts (prompt engineering)
- Retrieval-Augmented Generation (RAG)
Project Overview
We partnered with a jewelry retailer to streamline product photography and catalog approvals. Using our Design to MVP Sprint methodology, we scoped, designed, and delivered an automated image QA MVP in four weeks. The solution uses a rules engine, prompts, and RAG to deliver real-time QA scoring of vendor-submitted jewelry photos for catalog approval—replacing manual checks with a scalable, user-friendly tool.
The Challange
- Manual photo editing and quality checks consumed hundreds of hours each month, slowing product launches.
- No clear workflow or feedback loop between photography, editing, and merchandising teams led to inconsistent imagery and brand guidelines drift.
- Needed real-time QA scoring of vendor-submitted images for faster catalog approval.
Our Solution
We ran a two-week discovery with stakeholders, followed by rapid solution sketching and decision-making. The team built a working MVP in four weeks, integrating a rules engine, prompt-driven checks, and RAG to score images against brand standards in real time. We conducted usability testing to capture feedback and iterated quickly to refine performance and user experience.
Features:
- Real-time QA scoring via a configurable rules engine
- RAG-powered checks against brand and catalog guidelines
- Interactive preview and approval workflow
The Results
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Faster case completion
Staff adoption in 2 weeks
Reduced task duplication
Annual cost saving through improved efficency
The Results
4
Sprint Duration (Weeks)
60%
Processing Speed Increase
120
Monthly Manual Hours Saved
$100k+
Projected Annual Savings
Summary
Focus Area
Project Overview
We partnered with a jewelry retailer to streamline product photography and catalog approvals. Using our Design to MVP Sprint methodology, we scoped, designed, and delivered an automated image QA MVP in four weeks. The solution uses a rules engine, prompts, and RAG to deliver real-time QA scoring of vendor-submitted jewelry photos for catalog approval—replacing manual checks with a scalable, user-friendly tool.
The Challange
- Manual photo editing and quality checks consumed hundreds of hours each month, slowing product launches.
- No clear workflow or feedback loop between photography, editing, and merchandising teams led to inconsistent imagery and brand guidelines drift.
- Needed real-time QA scoring of vendor-submitted images for faster catalog approval.
Our Solution
- Manual photo editing and quality checks consumed hundreds of hours each month, slowing product launches.
- No clear workflow or feedback loop between photography, editing, and merchandising teams led to inconsistent imagery and brand guidelines drift.
- Needed real-time QA scoring of vendor-submitted images for faster catalog approval.
The Impact
The retailer transformed its product image pipeline. Automation cut manual editing time by more than half, improved brand consistency, and accelerated product launches. The successful MVP established a clear path to production rollout and additional automation opportunities.
MorelandConnect’s Sprint methodology gave us a clear path from ideation to MVP in just four weeks. We’re now saving hours of manual work every week and delivering consistent, high-quality images faster than ever.
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