Retail personalization and clienteling platforms use AI to connect discovery, commerce and customer relationship workflows—delivering tailored recommendations, contextual assistance and automated outreach across channels. As of 2026-05-14, retailers are prioritizing real‑time, multimodal personalization (text + image) and integrated CRM‑level clienteling to defend margins, improve conversion and maintain customer loyalty amid tighter privacy rules and higher consumer expectations. Key categories include AI Shopping Assistants (conversational or browser-based helpers that answer product questions and synthesize reviews), CX Automation Platforms (context‑aware AI embedded in CRM to automate service and sales tasks), Brand Agent Platforms (deployable AI teammates that represent brand voice and product rules), Product Discovery Tools (vision and NLP systems that power search, tagging and recommendations), and Marketing Strategy Tools (multichannel automation for segmentation and campaign orchestration). Representative tools: HubSpot AI (Breeze) provides a contextual assistant and deployable AI teammates embedded across the HubSpot Customer Platform for CRM-driven clienteling; Brevo offers AI‑powered multichannel marketing (email, SMS, WhatsApp, CRM and automation); YesPlz focuses on fashion‑trained computer vision and NLP to improve search, tagging and recommendations; Veesual enables visual commerce with on‑model renders, outfit builders and mix‑and‑match shopping; ShopGuru AI is a browser assistant that analyzes Amazon listings and reviews to answer product questions; Smarketly targets startups with automated marketing journeys and personalization at scale. Practical considerations include data hygiene and identity stitching, measurement and A/B testing, governance to limit hallucination and privacy compliance. The effective platforms combine multimodal models, CRM context and cross‑channel orchestration to turn signals into actionable, measurable personalization and clienteling.