Why conversation is replacing navigation
Conversational commerce is transforming how consumers search for and buy products. Instead of scrolling through websites, people increasingly rely on voice commands, messaging apps and AI-driven chat interfaces to complete purchases. Forecasts point to major growth in voice-based shopping, driven by improvements in speech recognition and natural language processing. Adoption is already meaningful: a large share of consumers use voice assistants to research products, and many have completed purchases through voice-enabled devices. These systems shorten the buying journey, improve accessibility and increase engagement on mobile devices.
Voice commerce: what it takes to work
Voice commerce requires more than speech recognition — it relies on integrated product catalogues, AI-driven search and secure payment flows. Effective voice experiences connect structured product data to conversational interfaces and support secure, automated payments. As conversational AI improves, it can handle a large portion of customer queries on messaging channels, reducing support load while keeping the customer in a single, familiar interface.
Visual discovery and multimodal search
Visual discovery is another major frontier. Visual search and image recognition allow shoppers to upload a photo and instantly find matching products. This shortens the path to purchase, reduces bounce rates and aligns with browsing habits driven by short-form video and image-first platforms. Multimodal search combines voice, text and images — and retailers are embedding computer-vision experiences directly into shopping apps.
LLM concierges inside messaging apps
Beyond voice and visual search, conversational AI is evolving into a universal shopping concierge. Large language models can understand complex, multi-step queries and summarise product reviews or compare similar items, acting as a research assistant. Retailers are integrating chat experiences into messaging platforms so shoppers can ask questions, track orders and resolve issues without leaving their favourite app. These agents can also translate conversations in real time, making global commerce more inclusive.
Implementation checklist
To benefit from conversational and visual commerce, optimise product data for natural language queries, design intuitive chat flows, and ensure accessibility across devices. Consider voice-friendly phrasing, long-tail queries, robust image tagging and high-quality catalog data. When combined with intent prediction, these interfaces turn search into a fluid dialogue that makes shopping faster and more enjoyable.
Check our guide: https://docs.cartally.co/e-commerce-data
