beauty
30 articles about beauty in AI news
Megan Moroney Launches First Fragrance With Scent Beauty
Megan Moroney partners with Scent Beauty on debut fragrance. No details on scent, pricing, or release date disclosed.
Shark Beauty drives 40% skin-care device growth with community-led
Shark Beauty's VP Julie Bailey Blanche revealed at Glossy's E-Commerce Summit that a community-driven, benefit-first marketing strategy drove 40% Q1 2026 skin-care growth. The approach prioritizes UGC and consumer outcomes over technical education.
Agentic AI in Beauty: How ChatGPT Is Reshaping Discovery, Trust, and Conversion
The article explores how conversational AI, particularly ChatGPT, is being deployed in the beauty sector to transform the customer journey. It moves beyond simple Q&A to act as an agent that proactively guides users, personalizes recommendations, and builds trust to drive conversion.
Fenty Beauty Launches 'Rose Amber' AI Advisor on WhatsApp, Joining L'Oréal in Chat-Based Commerce Push
Fenty Beauty has launched 'Rose Amber,' a conversational AI advisor on WhatsApp for product recommendations and tutorials. This reflects a broader industry shift, with L'Oréal already generating over 20% of its DTC sales in Brazil via WhatsApp and planning a 2026 expansion of its own AI tool to the platform.
Inference Beauty Today Announces Global Platform Expansion, Powering Personalized Beauty Discovery for 100+ Retailers and Brands
Inference Beauty Today has expanded its AI-powered personalized beauty discovery platform globally, now serving over 100 retailers and brands across five markets. This signals the maturation of specialized, third-party AI recommendation engines in the beauty and personal care sector.
Revieve Launches AI Skin Advisor for ChatGPT, Expanding Generative AI Beauty Discovery
Beauty tech platform Revieve launches an AI Skin Advisor as a ChatGPT plugin, enabling conversational skin analysis and product discovery. This represents a strategic expansion into generative AI platforms for beauty brands and retailers.
Beauty Giants Face ROI Challenge in AI Implementation
L'Oréal's partnership with Nvidia highlights the beauty industry's push into AI for product development. The central challenge for conglomerates is quantifying the return on investment beyond the initial hype.
VAB Benchmark: Top MLLMs Judge Beauty Correctly Only 26.5% of Time
Frontier MLLMs achieve only 26.5% accuracy on VAB, far below human 68.9%. Fine-tuning bridges the gap.
AutoZone, Home Depot, Macy’s, and Ulta Partner with Google for Agentic AI
AutoZone, Home Depot, Macy’s, and Ulta Beauty have entered into partnerships with Google Cloud to implement agentic AI solutions. These systems, built on Google's Gemini models, aim to handle complex, multi-step customer interactions. The move signals a shift from experimental chatbots to more autonomous, task-completing AI agents in retail.
Kering Doubles Down on L'Oréal Partnership
At its Capital Markets Day, Kering announced a new strategic division, 'Kering Next,' to manage beauty growth. The group will deepen its partnership with L'Oréal to scale brands like Gucci, citing the €3B success of YSL Beauty as a benchmark. This marks a major shift from in-house development to a capital-light, partnership-driven model.
The RealReal CMO Samantha McCandless on Resale Math, Vintage Bulgari, and Her Go-To Sneakers
In a personal shopping profile, The RealReal's Chief Merchandising Officer, Samantha McCandless, explains her 'resale math'—funding new purchases by consigning items—and her passion for vintage jewelry and beauty staples, offering a firsthand look at the executive mindset fueling the luxury resale market.
Regulators in Italy Probe Sephora, LVMH for Youth Marketing
Italian authorities are investigating LVMH and its beauty retailer Sephora for marketing practices targeting minors. This marks the first such European probe into the luxury conglomerate's youth outreach, signaling heightened regulatory scrutiny.
Swedish Study: Attractive Female Students' Grade Premium Vanished in Online Classes, Male Premium Persisted
A Swedish university study of 307 students found attractive female students received higher grades in subjective courses during in-person teaching, but this advantage disappeared when classes moved online. The male beauty premium remained, suggesting appearance-based bias in human grading.
A Counterfactual Approach for Addressing Individual User Unfairness in Collaborative Recommender Systems
New arXiv paper proposes a dual-step method to identify and mitigate individual user unfairness in collaborative filtering systems. It uses counterfactual perturbations to improve embeddings for underserved users, validated on retail datasets like Amazon Beauty.
Visa Expands Payment Passkeys from Issuer Rollout to AI Agent Commerce
Visa is expanding payment passkeys from card issuer rollout to AI agent commerce, enabling secure AI agent-initiated transactions. This marks a major step in payment authentication for autonomous commerce.
Priyanka Chopra Jonas Headlines Cannes Lions 2026 with L'Oréal, Attendance Hits 15K
Priyanka Chopra Jonas attended Cannes Lions 2026, speaking to 15,000 attendees about brand storytelling with L'Oréal, highlighting creator-driven marketing trends.
96% of Retail AI Projects Show No ROI, Process Gaps Blamed
96% of retail execs report no AI ROI despite billions spent. Arvato VP argues fragmented point solutions are the cause, urging production AI process chains.
HAVEN Benchmark Exposes MLLM Gap Between Fluency and Video Understanding
HAVEN benchmark tests MLLMs on hierarchical video understanding across frame, shot, and video levels. Results show top models lack grounded multimodal reasoning despite fluent text generation.
MLLM Raters Show Central Tendency Bias in Clinical Scoring
Study finds GPT-5 and other MLLMs show central tendency bias in clinical scoring, compressing predictions toward scale midpoint despite prompt modifications.
Simple Graph Heuristic Beats Generative Recommenders on 10 of 14 Benchmarks
A no-training graph heuristic beats generative recommenders on 10 of 14 benchmarks, exposing shortcut-solvable datasets. Relative NDCG@10 gains hit 44% on Amazon CDs.
LLM-Based Customer Digital Twins Predict Preferences with 87.7% Accuracy
A new arXiv paper proposes using LLM-based 'customer digital twins' (CDTs) — agents built from individual Reddit review histories via RAG — to perform conjoint analysis. The CDTs predict actual user preferences with 87.73% accuracy in a computer monitor case study, offering a scalable alternative to traditional market research.
Guerlain Launches First Paid Influencer Campaign After Viral TikTok
Guerlain reports the Vanille Planifolia extrait became its #1 best-selling product for five months after organic TikTok videos, leading to the brand’s first paid influencer campaign. Sales tripled despite the $660 price, and the fragrance sold out multiple times.
Building a Semantic Recommendation System from Scratch
An engineer documents the process of building a semantic recommender using embeddings and vector search, focusing on the practical challenges and failures encountered. This is a crucial reality check for teams moving beyond collaborative filtering.
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.
MVCrec: A New Multi-View Contrastive Learning Framework for Sequential
Researchers propose MVCrec, a framework that applies multi-view contrastive learning between sequential (ID-based) and graph-based views of user interaction data to improve recommendation accuracy. It outperforms 11 leading models, showing significant gains in key metrics.
Dual-Enhancement Product Bundling
Researchers propose a dual-enhancement method for product bundling that integrates interactive graph learning with LLM-based semantic understanding. Their graph-to-text paradigm with Dynamic Concept Binding Mechanism addresses cold-start problems and graph comprehension limitations, showing significant performance gains on benchmarks.
New Research Adapts Deep Interest Network for Time-Sensitive
A new arXiv paper details a recommendation engine for daily fantasy sports that explicitly models time-sensitivity and urgency. The system adapts the Deep Interest Network (DIN) architecture with real-time urgency features and temporal positional encodings, achieving a significant performance gain over a traditional baseline.
New Research Proposes Unified LLM Framework for Need-Driven Service
A new arXiv paper introduces a large language model framework that unifies living need prediction and service recommendation for local life services. It uses behavioral clustering to filter noise and a curriculum learning + RL strategy to navigate complex decision paths. Experiments show it significantly improves both need prediction and recommendation accuracy.
U.K. Retail Loyalty Enters AI Era as M&S
Marks & Spencer, Tesco, and Boots are implementing AI to analyze customer data and deliver hyper-personalized rewards and offers within their loyalty programs. This marks a strategic shift from one-size-fits-all schemes to predictive, individualized engagement to boost retention and spending.
Agentic AI Checkout Emerges as Next Frontier in Retail Transformation
Multiple industry reports from Deloitte, Bain, and retail publications highlight the shift toward 'agentic AI' in commerce—systems that autonomously execute complex shopping tasks. This evolution promises to redefine the online basket and checkout experience, with Asia Pacific flagged as a key growth region.