Dutch Fashion E-Retail Aggregator: A ZYNG AI Case Study

Discover how a pioneering Dutch fashion aggregator revolutionized its product image management. Using ZYNG AI’s generative fill, background generation, and intelligent image resizing for 8500–19000 SKUs every quarter, a single in-house expert achieved an astounding 96% usability—all without any external help.

Revolutionizing Image Management at Scale

In today’s digital marketplace, high-quality product imagery is crucial for driving customer engagement and conversions. This case study highlights how a leading Dutch fashion e-retail aggregator harnessed ZYNG AI to automate and perfect its image editing process. Managing between 8500 to 19000 SKUs each quarter, the aggregator seamlessly delivers consistent, attractive visuals to boost online sales.

Leveraging cutting-edge generative fill technology and intelligent image resizing, the company produces flawless product images across various digital platforms. With a dedicated in-house team of one, the process was executed entirely internally—achieving a remarkable 96% usability rate without any external assistance.

Automated Generative Fill & Resizing

ZYNG AI’s sophisticated algorithms generate consistent backgrounds and dynamically resize images to meet various e-commerce standards, drastically reducing manual intervention.

In-House Efficiency at Its Best

With a single expert managing the workflow, the aggregator maximized productivity and quality. By automating repetitive tasks, the team could focus on strategic improvements, ensuring every SKU shines.

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