Case Study
UST quality engineering and image validation solution helps a U.K. retailer avoid millions in lost ecommerce sales annually
OUR CLIENT
This U.K.-based multinational retailer operates nearly 1,000 stores in Europe, Asia, and the Middle East. Offering a wide selection of clothing, footwear, and home goods, the company also operates a robust ecommerce business. With a reputation for high-quality products at competitive prices, the company generates more than £5 billion in revenue annually.
THE CHALLENGE
Ecommerce image mismatches negatively impacted the customer journey and consumer trust
The retailer struggled to manage product images on its popular ecommerce platform, with more than 400,000 unique daily visits. When incorrect product images appeared on the product listing page, resulting from manual errors and configuration mismatches, customers often abandoned shopping carts out of confusion and frustration. These inaccuracies led to lost revenue, with the financial impact projected at £80-100 million annually. However, manually identifying and correcting the image mismatches would be time-consuming and add in the potential for additional human errors. The retailer needed an automation solution to identify the incorrect product images quickly.
THE TRANSFORMATION
AI-based solution scanned 40,000 images per day to identify incorrect product images
Leveraging UST’s QE360 solution, an AI-powered quality engineering platform, we automated the validation of product images to ensure content accuracy across the company’s ecommerce site. The system scanned images to detect mismatches, flagged discrepancies, and automatically logged issues. During the initial rollout, the solution validated approximately 40,000 product pages per day with a mismatch detection rate of 5%, enabling the company to pinpoint and fix incorrect product images quickly.
Going forward, the retailer can detect and correct image mismatches in real time, ensuring that product listing pages are accurate and consistent across its online retail store.
THE IMPACT
Image accuracy helps save an estimated £10 million in annual revenue
UST QE360 eliminated the tedious, time-consuming and expensive process of product listing page optimization by finding and fixing erroneous images. With an estimated productivity increase of 60%, the ecommerce content team now can focus on more strategic projects. The company improved the customer experience by ensuring product pages showcase accurate images, reducing abandoned shopping carts, and recovering an estimated £10 million in annual revenue.
Learn more about how QE360, our AI-powered quality engineering platform, can help your organization.