crm & personalization
30 articles about crm & personalization in AI news
Movable Ink Launches Programmatic CRM With AI Agents for Personalized
Movable Ink launched Programmatic CRM with AI agents on June 18, 2026, automating personalized content creation and customer engagement for brands. The platform leverages real-time data to generate tailored content across email, web, and mobile, reducing manual effort while scaling personalization.
Ahold Delhaize USA Scales Personalization Across Banners
Ahold Delhaize USA is scaling AI-driven personalization across banners like Stop & Shop and Giant Food, using data and ML to tailor shopping experiences. This matters for retail as it demonstrates a major grocer's commitment to AI for customer loyalty and revenue growth.
Daydream Launches Generative AI Platform Targeting Fashion Personalization
Daydream has announced a generative AI platform specifically positioned to tackle the 'personalization gap' in fashion. This represents another entry in the competitive landscape of AI-powered retail personalization tools.
Oracle Blog Critiques the 'Guesswork' in Current CRM AI for Marketing
An Oracle blog post critiques the state of AI in CRM systems, asserting that most solutions still deliver vague insights that force marketing teams to guess rather than providing clear, actionable intelligence. This highlights a critical gap between AI promise and practical utility in customer relationship management.
CRM Platforms Are Evolving into AI Agent Hubs
The article reports a strategic shift where CRM systems like Salesforce and HubSpot are becoming platforms for deploying and managing AI agents. This evolution enables automated, multi-step customer interactions directly within the customer data environment.
Paytronix 2026 Loyalty Report: Real-Time Personalization & AI-Powered Decisioning Drive Success
Paytronix Systems has released its 2026 Loyalty Report, highlighting that brands implementing real-time personalization and AI-powered decisioning see a 2.5x increase in loyalty member spend. The report is based on data from over 600 brands and 300 million consumers.
NextQuill: A Causal Framework for More Effective LLM Personalization
Researchers propose NextQuill, a novel LLM personalization framework using causal preference modeling. It distinguishes true user preference signals from noise in data, aiming for deeper personalization alignment beyond superficial pattern matching.
Klaviyo Expands AI Agents to Power Autonomous B2C CRM
Klaviyo is expanding its AI agent capabilities to create an autonomous B2C CRM system. This move signals a shift from automation to true autonomy in customer relationship management, where AI agents can independently execute complex, multi-step campaigns.
MIPO: A Novel Self-Improvement Method for LLMs That Enhances Personalization Without New Data
Researchers propose Mutual Information Preference Optimization (MIPO), a contrastive data augmentation technique that improves LLM personalization by 3-40% on real-user datasets without requiring additional labeled data or human supervision.
Vendasta Launches 'CRM AI' for Automated Client Management
Vendasta has launched a new AI-powered CRM designed to autonomously update client records and manage tasks, aiming to close the 'execution gap' for businesses. This represents a shift towards proactive, agentic systems in business software.
When AI Knows More About You Than Your Friends Do: The Personalization Paradox
AI systems are developing the ability to infer personal preferences and patterns from behavioral data with surprising accuracy, potentially surpassing human social knowledge. This creates both unprecedented personalization opportunities and significant privacy challenges for consumer-facing industries.
Costco Attributes $470M in Quarterly E-commerce Sales to Digital Personalization Engine
Costco's CFO directly tied $470M in Q2 e-commerce sales to personalized recommendation carousels. This quantifies the ROI of modern digital enhancements, showing how personalization drives traffic and sales for a major retailer.
The Agent-User Problem: Why Your AI-Powered Personalization Models Are About to Break
New research reveals AI agents acting on behalf of users create fundamentally uninterpretable behavioral data, breaking core assumptions of retail personalization and recommendation systems. Luxury brands must prepare for this paradigm shift.
Optimizing Luxury Discovery: A Smarter Pre-Ranking Engine for Personalization
New research tackles inefficiency in recommendation pipelines by intelligently separating 'easy' from 'hard' customer matches. This heterogeneity-aware pre-ranking can boost personalization accuracy while controlling computational costs, directly applicable to luxury product discovery and clienteling.
From Monolithic Code to AI Orchestras: How Agentic Systems Are Revolutionizing Retail Personalization
Spotify's shift from tangled recommendation code to a team of specialized AI agents offers a blueprint for luxury retail. This modular approach enables dynamic, multi-faceted personalization across clienteling, merchandising, and marketing, replacing rigid systems with adaptive intelligence.
NIQ Report: AI Personalization Boosts Retail Revenue 10-30%—Here’s How
NIQ reports AI in personalized shopping boosts retail revenue 10-30% by transforming product discovery via predictive analytics. This matters as retailers seek competitive edge through customer experience.
Privacy-First Personalization: How Synthetic Data Powers Accurate Recommendations Without Risk
A new approach uses GANs or VAEs to generate synthetic customer behavior data for training recommendation engines. This eliminates privacy risks and regulatory burdens while maintaining performance, as demonstrated by a German bank's 73% drop in data exposure incidents.
Salesforce Bets on Agentic AI to Reaccelerate CRM Growth
Salesforce is making a strategic push into agentic AI, aiming to automate complex workflows and drive sales growth. This reflects a broader industry trend where autonomous AI agents are projected to handle a significant portion of enterprise tasks and transactions.
Unlocking Household-Level Personalization: How Disentangled AI Models Can Decode Shared Account Behavior
New research introduces DisenReason, an AI method that disentangles behaviors within shared accounts (e.g., family Amazon Prime) to infer individual user preferences. This enables accurate, personalized recommendations from mixed household data, boosting engagement and conversion.
AI cuts ecommerce costs 30%: 3 shifts reshaping online retail in 2026
Digital Commerce 360 reports three AI-driven ecommerce trends for 2026: agentic commerce, hyper-personalization, and automation. Early adopters like Shopify and Walmart see 30% cost cuts and 15-20% conversion boosts.
AI now at top of agenda for more luxury houses: Bain report
Bain & Company reports that AI is now a top priority for an increasing number of luxury houses, signaling a major strategic shift. This matters as luxury brands move to integrate AI for personalization, operations, and customer experience.
Dassault Systèmes expands AI PLM to LVMH, Carrefour and Walmart
Dassault Systèmes is expanding its AI-powered PLM to LVMH, Carrefour, and Walmart. This marks a major enterprise AI deployment in retail and luxury, embedding intelligence into product design, supply chain, and personalization.
Commerce Media Leaders Are Building for an Agentic Future
eMarketer reports commerce media leaders are building AI agent infrastructure to automate ad buying and personalization. This shift could reduce manual campaign management by 40% and boost ROI by 25% for retail media networks.
Klaviyo launches beta for marketing AI agents
Klaviyo launched Composer and Analyst AI agents in public beta on July 1, 2026, embedding them in its CRM for real-time marketing and service use. This matters as AI agents gain traction in retail CRM, with 249 prior articles on the technology.
Salesforce Acquires AI Agent Platform Fin for $3.6B; Agents Resolve 76% of
Salesforce acquired AI agent platform Fin for $3.6B. The platform resolves 76% of support volume autonomously, signaling a major shift toward agent-first customer service in CRM.
Mytheresa is using AI to find future VIPs
Mytheresa applies AI to predict future VIPs from early customer data, using browsing and purchase signals to drive personalization. This matters for luxury e-commerce as it shifts retention from reactive to proactive.
Grocery Dive Asks: Is Agentic AI the Next Frontier for Grocers?
The article examines agentic AI's potential for grocers in inventory, personalization, and store operations, weighing benefits against implementation challenges like data integration and safety.
Agentic Marketing AI Sustains Performance Gains in 11-Month Case Study
An 11-month longitudinal case study compared human-led vs. autonomous agentic personalization for marketing. While human management generated the highest lift, autonomous agents successfully sustained positive performance gains, pointing to a symbiotic operational model.
PFSR: A New Federated Learning Architecture for Efficient, Personalized Sequential Recommendation
Researchers propose a Personalized Federated Sequential Recommender (PFSR) to tackle the computational inefficiency and personalization challenges in real-time recommendation systems. It uses a novel Associative Mamba Block and a Variable Response Mechanism to improve speed and adaptability.
Edge Computing in Retail 2026: Examples, Benefits, and a Guide
Shopify outlines the strategic shift toward edge computing in retail, detailing its benefits—real-time personalization, inventory management, and enhanced in-store experiences—and providing a practical implementation guide for 2026.