Conversational AI is playing a larger role in e-commerce, but many digital shopping assistants still fall short, plagued by clunky pop-ups, generic responses, and rigid keyword-based searches that often miss the mark.
Nearly half (48%) of AI chat tools fail to resolve customer issues or accurately understand their intent, according to recent research. For retailers, the real opportunity lies in AI that supports product discovery, not disconnected chatbots. More competent conversational shopping assistants can deliver personalized recommendations by understanding customer needs, product context, and brand voice in real time.
John Andrews, CEO of Cimulate, believes the key to fixing underperforming AI shopping assistants is moving beyond keyword reliance. His platform replaces rigid chatbot scripts and simplistic search logic with a more dynamic, intent-aware experience.
“We’ve been trained by Google for 25 years to use keywords. What we have enabled now is the ability to describe in more free form what shoppers are looking for,” he told the E-Commerce Times.
Whether it’s finding something for a bridal shower or an outdoor wedding where it might rain, consumers enter the concept and hit the Enter key. The AI-powered assistant returns contextual results, enabling a more natural, personalized interaction, free from rigid, scripted responses.
