Target has added image-based product search, AI review summaries and expanded personalization for repeat purchases and unfinished carts. The features reshape discovery and conversion touchpoints for brands, agencies and e-commerce teams.
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Instacart launched Clementine, an AI assistant that builds inventory‑aware, personalized grocery carts, and is expanding its white‑label Cart Assistant to retailers. Early use correlates with higher item counts and AOV; Instacart also announced integrations with Anthropic, OpenAI and Google.
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Target is using AI-driven recommendations and a ‘next best action’ widget to encourage wish-list creation and personalize site layouts during back-to-school shopping, aiming to increase conversions and basket sizes.
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Dr. Squatch added product recommendations and AI-driven delivery estimates to its tracking pages, reporting a 31.89% CTR on recommendations, $32,978 in attributed Q1 2026 revenue, 94% ETA accuracy and a 25% drop in WISMO inquiries.
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Williams‑Sonoma reported 6.7% revenue growth in Q2 and credited AI shopping assistants with substantial ecommerce gains: Olive‑related revenue rose 620% and engagement climbed 700%, while Pottery Barn’s Otto resolves 70%+ of queries without human help.
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Google’s Discover job ad explicitly names retrieval, prediction, ranking and embedding. Independent monitoring across 42 million cards finds three of those layers leave measurable traces—here’s what publishers should optimize and watch next.
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Polywood says a blend of weather, housing data and LLM-driven tooling helped boost conversion by 22% and AOV by 12%. The retailer’s approach — signal fusion, an internal LLM and AI-generated creative — offers practical lessons for ecommerce teams.
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