Efficient Cataloging for a Perfume E-Retailer Using ZYNG AI's Clip-to-Subject Feature

How a leading perfume retailer automated image processing for 6,500+ SKUs, transforming weeks of manual work into hours

6,500+
SKUs Processed
Hours
Instead of Weeks
100%
Consistency
Perfume image processing transformation

Overview

A leading perfume e-retailer faced the challenge of managing and cataloging over 6,500 SKUs of product images. With their growing collection, they needed a standardized, time-efficient solution for image cataloging. Manual clipping and resizing were no longer sustainable for their small team. ZYNG AI's Clip-to-Subject feature transformed their workflow, enabling efficient scaling and maintaining consistent quality.

Quick Facts

  • Automated image clipping process
  • Custom sizing for cataloging
  • Bulk processing capabilities

The Challenge

1

Manual Clipping

Individual clipping needed for each product image to focus on perfume bottles while maintaining professional appearance.

2

Custom Sizing

Specific file sizes required for internal database compatibility, demanding additional manual resizing work.

3

Consistency Issues

Maintaining uniformity across thousands of SKUs proved challenging with manual editing processes.

The ZYNG AI Solution

Automated Clip-to-Subject

  • Intelligent product detection and cropping
  • Background distraction reduction
1
2

Custom Sizing for Cataloging

  • Automated dimension adjustment
  • Database-optimized file sizes

Transformative Results

Hours

Processing Time

Reduced from weeks to mere hours

100%

Automation

Fully automated cataloging process

6,500+

SKUs Processed

Consistently optimized images

Ready to Transform Your Image Processing?

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