Target expands AI shopping features with visual search and review insights
Target is rolling out artificial intelligence-powered shopping tools including visual search and personalized product recommendations to enhance the customer experience on its e-commerce platform.
Target is deepening its investment in artificial intelligence to reshape how customers discover and purchase products online. In a September 2025 blog post, the major U.S. retailer outlined several AI-driven features launched since early this year. Photo Search enables shoppers to upload images to locate similar items, while new review insights and intelligent recommendations help users find products suited to their needs and complete abandoned shopping sessions.
The move reflects a broader acceleration of AI adoption across North American e-commerce. Competitors like Amazon and Walmart have already embedded visual search, voice shopping, and AI-powered recommendations into core platform functionality. Target's expansion signals an effort to maintain competitive parity and drive higher online sales conversion as generalist e-commerce platforms compete fiercely for market share.
For sellers on Target's marketplace, the shift underscores the growing importance of high-quality product data and imagery. AI-driven search and recommendation systems rely heavily on well-structured product catalogs, accurate descriptions, and rich visual content to deliver relevant results. Merchants should expect that detailed, accurate customer reviews will increasingly influence algorithmic visibility. In the coming months, sellers using Target's platform may need to prioritize listing optimization and content quality to align with these AI-enhanced discovery mechanisms.