AI reshapes product discovery and online buying

The Economic Times reports that artificial intelligence is altering how consumers discover and buy products online. The article quotes Somdutta Singh, Founder and CEO of Assiduus Global: "People are no longer always starting with a search bar and ten tabs open. They are starting with a prompt," and describes AI-led interactions that combine discovery, comparison and recommendation into a single conversational flow. The piece also reports that AI-assisted recommendations are sending traffic to e-commerce platforms that is often closer to purchase, and that merchants now need product information that AI systems can interpret accurately.

Editorial analysis: Companies across retail and marketplaces have been experimenting with conversational search, recommendation agents and structured product feeds for several years. These industry-pattern developments tend to shorten the customer journey by shifting filtering, attribute comparison and trade-off analysis upstream of merchant sites, which changes measurement and attribution for marketers.

Editorial analysis - technical context: For AI systems to surface and rank products reliably, structured metadata, clear categorisation and machine-readable specifications are becoming table stakes. Practitioners building recommender stacks will evaluate entity extraction, schema alignment and embedding-based similarity as core components in this workflow.

Editorial analysis: Observers should track adoption of product-schema standards, how marketplaces expose APIs for agent access, and whether analytics teams adjust conversion funnels to account for AI-originated, prefiltered traffic.