Target Boosts Shopping Experience with AI-Driven Relevance
Target is enhancing its shopping experience by focusing on context and relevance. The retailer is preparing for agent-to-agent interactions and has introduced an AI-driven product recommendation tool. Despite no specific confirmation, Target may have employed generative AI last Christmas to improve its offerings.
Target is adapting to changing consumer behaviour. Shoppers are increasingly using longer, context-based queries, thanks to generative AI. To cater to this, Target is preparing for agent-to-agent interactions, where a customer's shopping assistant communicates with Target's platform. This follows the retailer's introduction of the Bullseye Gift Finder, a generative AI-driven product recommendation tool, during the last holiday season.
Target's vice president of digital product management, Ranjeet Bhosale, sees the future of SEO shifting towards generative engine optimization (GEO). This suggests Target is looking to provide more personalized and relevant search results. Consumer skepticism towards AI shopping assistants is a barrier, but Target has found that guests are willing to use them if the results are relevant and contextual.
Target is investing in AI to improve its shopping experience. By focusing on context and relevance, the retailer aims to provide better product recommendations and enhance customer interactions. The future may see more personalization, improved customer service, and increased efficiency through AI technologies.
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