Online shopping is often hindered by inefficient search features that lead to customer frustration and high drop-off rates. A newly developed AI Product Assistant aims to transform this experience by enabling users to search using natural language, akin to conversing with a store associate. This innovative tool allows shoppers to simply type queries like “I’m looking for a beige coat under 150 euros” or “Show me running shoes for wide feet,” and instantly receive relevant product suggestions without the hassle of filters or menus. The AI understands customer intent, promising a smoother and more intuitive shopping journey.
Willem Drijver, the founder of the Antwerp-based company behind this technology, emphasizes the shift from traditional search methods to a more conversational approach, highlighting how the assistant can be quickly integrated into existing e-commerce platforms without technical complexities. By facilitating a more direct interaction, the AI Product Assistant aims to reduce customer drop-offs and increase conversions, signaling a significant shift in e-commerce towards more user-friendly, conversation-driven interfaces. Retailers interested in exploring this technology can request a demo to see its potential impact firsthand.
