AI in Retail: Boost Brand Search & Recover Lost Revenue," delves into how artificial intelligence can transform brand search experiences in e-commerce. It highlights how inconsistent metadata and mismatched brand names often lead to irrelevant or zero-result searches, causing retailers to lose potential customers and revenue. The blog discusses how AI-driven solutions can standardize product metadata, normalize customer queries, and continuously learn from user interactions to enhance search accuracy and relevance. Implementing these AI strategies can result in a 15–20% increase in search-to-cart conversions and a 30% reduction in zero-result queries, ultimately boosting customer satisfaction and sales.

This insightful read is essential for retail professionals aiming to optimize their brand search functionalities and recover lost revenue. Explore the full article here:

https://www.royalcyber.com/blo....gs/gcp/ai-in-retail-