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High-Volume Image Editing Support for an eCommerce Retail Brand
Service:
Image Editing & Product Image Optimization
Engagement Type:
Monthly Retainer
Client Type:
D2C eCommerce Retail Brand
Geography:
United States
Hiring Focus:
900 SKUs
Demand Pattern:
4–6 images per SKU
Client Background
The client is a US-based D2C eCommerce brand selling consumer products through:
- Shopify (primary store)
- Amazon marketplace (secondary channel)
Key operating characteristics:
- Frequent product launches and refresh cycles
- Strong reliance on paid ads and organic product discovery
- Lean internal marketing and operations team
- High dependency on visual consistency for conversion
The brand handled image editing internally, but the process did not scale with catalog growth.
The Challenge
As SKU volume increased, the brand began facing image-related operational bottlenecks, including:
- Inconsistent background and lighting across product images
- Manual image editing slowing down product launches
- Non-compliant images rejected on Amazon
- Poor color consistency across product variants
- Internal team spending excessive time on repetitive editing tasks
These issues resulted in:
- Delays in launching new products
- Increased revision cycles
- Inconsistent brand presentation
- Reduced focus on growth initiatives
Objectives
The brand needed a production-ready image editing partner who could:
- Deliver consistent, marketplace-compliant product images
- Handle bulk image volumes efficiently
- Reduce internal editing workload
- Support ongoing product launches and updates
- Maintain visual consistency across the entire catalog
Our Engagement Model
Outsure Global was engaged on a monthly retainer model to provide dedicated image editing capacity aligned to the client’s ongoing catalog needs.
The engagement focused on:
- Standardized image editing workflows
- Batch processing at scale
- Marketplace compliance
Our Approach
Image Audit & Style Alignment
We began with:
- Review of existing product images
- Identification of inconsistencies in background, lighting, and framing
- Alignment on brand-approved image style
Deliverables:
- Image style reference guide
- Background and shadow standards
- Output format and resolution guidelines
Editing Workflow Standardization
We defined clear SOPs for:
- Background removal (pure white for Amazon, neutral for Shopify)
- Shadow and reflection treatment
- Cropping and framing consistency
- Color correction standards
This ensured every image followed the same visual rules.
Production-Grade Image Editing
Execution included:
- Background removal and replacement
- Dust, scratch, and imperfection cleanup
- Lighting and exposure correction
- Color correction for accurate product representation
- Shadow and depth enhancement (subtle, non-stylized)
Tools used:
- Adobe Photoshop
- Adobe Lightroom
- Batch automation actions
- Layer-based non-destructive editing
Marketplace-Specific Optimization
For Amazon listings:
- Pure white (#FFFFFF) backgrounds
- Minimum image resolution compliance
- Product occupying required frame percentage
- Removal of disallowed elements
For Shopify:
- Consistent framing across collections
- Variant-level visual consistency
Quality Assurance & Batch Delivery
QA process included:
- Visual inspection against SOP checklist
- Random spot checks across batches
- Correction of edge artifacts and color inconsistencies
Delivery
- Structured folder hierarchy
- SKU-wise and variant-wise naming conventions
- Platform-ready image sets
Scope of Work
- Product image background removal
- Image retouching and cleanup
- Color correction and consistency
- Shadow and reflection effects
- Image resizing and formatting
- Bulk image processing
Results Achieved (First 60–90 Days)
- Consistent, professional image quality across the catalog
- Faster product launch turnaround
- Reduced internal editing workload
- Improved marketplace image compliance
The agency was able to:
- Focus on merchandising and growth
- Reduce revision cycles
- Scale product launches without additional hires
