Italian Fashion E-Retail Aggregator Case Study

Explore how a leading Italian fashion e-retail aggregator transformed its digital workflow by leveraging ZYNG AI for generative fill, background generation, and image resizing—processing 15-19k images monthly with nearly 98% usability.

Overview

A groundbreaking journey in the Italian fashion e-retail sector—where a leading aggregator redefined digital asset management with ZYNG AI. Leveraging generative fill, background generation, and image resizing, they process 15-19k images monthly with an outstanding 98% usability, all managed in-house.

The Challenge

Tens of thousands of images needed rapid processing with uncompromised accuracy. Manual edits were slow and inconsistent, risking the brand's visual integrity.

The Transformation

ZYNG AI automated background generation and generative fill replaced tedious manual edits, streamlining workflows and ensuring consistency.

Key Metrics

Processing 15-19k images each month with an exceptional 98% usability rate—demonstrating the power of integrated, in-house AI.

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Frequently Asked Questions

What is generative fill and how does it work?

Generative fill uses AI algorithms to intelligently complete missing image areas and generate consistent backgrounds, saving time and ensuring visual uniformity.

How did the aggregator achieve nearly 98% usability?

Through the seamless integration of ZYNG AI’s automated processes and a dedicated in-house team managing the workflow, the aggregator optimized every step—ensuring high-quality outputs at scale.

Is this solution scalable for other industries?

Absolutely. ZYNG AI’s technology is designed to handle high volumes and can be adapted to various industries requiring image optimization and consistency.

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