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Retailers lag consumer adoption of AI shopping assistants

A significant portion of consumers, over 50%, intend to utilize AI shopping assistants, yet a mere 11% of retailers are prepared for this shift. This readiness gap stems from foundational issues like fragmented data and inconsistent catalogs, rather than a lack of ambition among retailers. AI assistants require robust data infrastructure to function effectively, filtering out rather than working around these existing system limitations. AI

IMPACT Retailers must invest in data infrastructure to support the growing adoption of AI shopping assistants.

RANK_REASON The article discusses a trend and its implications for retailers, offering advice rather than announcing a new product or research.

Read on Mastodon — fosstodon.org →

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Retailers lag consumer adoption of AI shopping assistants

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Over 50% of consumers plan to use AI shopping assistants. Only 11% of retailers are ready to scale. That gap isn’t about ambition. It’s about foundations. Fragm

    Over 50% of consumers plan to use AI shopping assistants. Only 11% of retailers are ready to scale. That gap isn’t about ambition. It’s about foundations. Fragmented data. Inconsistent catalogs. Systems built for pages, not decisions. AI doesn’t work around that. It filters it ou…