Men’s apparel retailer Perry Ellis has partnered with Syte, an AI-powered product recommendation engine that has been trained on billions of shopper interactions across millions of ecommerce apparel product pages. As part of the multi-year deal, Perry Ellis will integrate the recommendation technology across its ecommerce ecosystem, enabling suggestions wherever its customers engage throughout their shopper journey.
Syte’s apparel-specific proprietary recommendation engine has been designed to understand the specific elements that drive conversions in this category, including size, fit, color, material, style, brand, category, gender, occasion and vibe, so that it can present customers with precisely relevant products — even when specific items are out of stock.
“Syte’s recommendation engine has been a game-changer for us,” said Jay Nigrelli, EVP of Direct to Consumer at Perry Ellis in a statement. “Our customers can find what they’re looking for faster, and we’re seeing measurable improvements in metrics like average order value and customer satisfaction. This partnership allows us to offer an intuitive, enjoyable shopping experience, and we look forward to deepening our relationship with Syte as we continue to innovate.”
“Brands spend millions to drive shoppers to their sites, and we help them maximize that investment by converting browsers into buyers,” said Ziv Ben-Baruch, CEO of Syte in a statement. “Our premium AI-powered recommendation engine, built exclusively for apparel, ensures that customers see relevant products, reducing bounce rates, increasing order values and driving measurable revenue growth.”
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