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Case Study: How a Jewellery Brand Reduced Product Shoot Costs by 90% Using AIVX

A real-world case study showing how a jewellery brand used AIVX to create ecommerce-ready images and videos while saving time and cost.

Case Study: How a Jewellery Brand Reduced Product Shoot Costs by 90% Using AIVX
Author:AIVX Studio
Published:Feb 07, 2026
Read Time:9 min read

Overview

Jewellery brands depend heavily on visuals, but traditional product shoots are expensive, slow, and difficult to scale.

In this case study, we look at how a mid-sized jewellery brand used AIVX to replace a large part of their traditional photography workflow and achieve significant cost and time savings — without compromising visual quality.

Client Background

  • Industry: Jewellery (D2C + Marketplace)
  • Product Types: Rings, necklaces, bangles
  • Catalog Size: 120+ SKUs
  • Primary Channels: Website, Instagram, marketplaces

The brand launches new designs every month and requires frequent updates to its product catalog.

The Challenge

Before using AIVX, the brand relied entirely on traditional product photography. Key problems they faced included:

  • High studio and photographer costs
  • Long turnaround time for each shoot
  • Inconsistent lighting across collections
  • Limited video content due to high production cost
  • Difficulty scaling visuals for marketplaces

Each shoot cycle took 2–3 weeks, delaying product launches.

Why They Considered AI

The brand needed a solution that could reduce cost per product, speed up visual production, maintain consistent image quality, support both images and short videos, and work for ecommerce use cases. They decided to test AIVX on a subset of their catalog.

Implementation: Using AIVX

Step 1: Product Input

The brand uploaded basic reference images for selected products. No professional photography was required at this stage.

Step 2: Visual Generation

Using AIVX, they generated studio-style product images, multiple angles per product, clean ecommerce-ready backgrounds, and short 5–7 second product videos.

Step 3: Iteration & Scaling

Once satisfied with the output quality, they scaled the process across more SKUs and collections.

Results

📉 Cost Reduction

Traditional shoot cost per SKU was high, while AIVX-generated visuals offered a ~90% lower cost. This allowed the brand to allocate budget to marketing instead of production.

⏱ Faster Turnaround

The traditional shoot cycle of 2–3 weeks was reduced to same-day visual generation with AIVX. New products could be listed much faster.

🎥 Introduction of Video Content

Previously, the brand avoided product videos due to cost. With AIVX, they added short product videos to website listings, Instagram reels, and ads. This significantly improved engagement.

🛒 Ecommerce Performance Impact

After updating listings with AIVX visuals, they saw higher engagement on product pages, better consistency across the catalog, and a reduced need for reshoots and revisions. While many factors influence sales, the brand reported a noticeable improvement in product presentation and customer confidence.

What Worked Well

  • Simple workflow with minimal learning curve
  • Consistent image quality across products
  • Easy scaling for large catalogs
  • Reliable results for ecommerce use cases

Limitations & Considerations

  • AIVX was primarily used for product visuals, not editorial campaigns
  • Extremely artistic brand shoots were still done traditionally
  • AI outputs were best when reference images were clear

These limitations were acceptable given the cost and speed benefits.

Final Verdict

AIVX delivers on what it promises: fast, consistent, and high-quality jewellery product visuals using AI.

For ecommerce brands looking to reduce costs, improve consistency, and scale visual production, AIVX is a strong and practical solution. Rather than replacing creativity, it removes the operational friction around product shoots.

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