Traditional eCommerce experiences rely heavily on complex navigation, filters, and dense product listings. When introducing an AI concierge with a minimal UI, the challenge shifts from visual design to interaction clarity how users initiate conversations, understand system responses, and feel guided without visual overload. A poorly designed conversational flow could easily confuse users or feel robotic.

Research showed that users expect AI assistants to be conversational, contextual, and reassuring especially when the interface is minimal. They prefer clear prompts, visible listening feedback, and responses that feel proactive rather than reactive, reinforcing the importance of trust and clarity over visual complexity.

I explored voice-first and chat first interaction patterns, mapped key eCommerce moments where users hesitate, designed conversational prompts that reduce decision fatigue, and focused on making system feedback visible through subtle cues like listening states, response timing, and tone of voice.