e commerce analytics
30 articles about e commerce analytics in AI news
Mastercard Launches Agent Suite to Power Agentic AI in Digital Commerce
Mastercard has launched Agent Suite, a new service offering combining technical support and customizable AI agents to help businesses integrate agentic AI into operations. This marks a significant move by a major payments network to facilitate the shift from generative to agentic AI in commerce.
Mastercard's AI Agent Demo Signals the Dawn of Autonomous Commerce
Mastercard's recent demonstration of fully authenticated 'agentic commerce' reveals a future where AI agents autonomously handle shopping, payments, and negotiations. This shift promises to transform consumer experiences and business operations through intelligent automation.
RedParrot: Semantic Caching Speeds Up NL-to-DSL for Business Analytics by
Xiaohongshu researchers propose RedParrot, a framework that caches normalized structural patterns of natural language queries to bypass expensive LLM pipelines, achieving 3.6x speedup and 8.26% accuracy improvement on enterprise datasets.
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.
POP.STORE Launches ECHO-ME: An Agentic AI Commerce Platform for Creators
POP.STORE announced ECHO-ME, an agentic AI platform designed to autonomously run a creator's business operations. It monitors social channels, detects brand deals, and converts fan interactions into revenue, launching with 15,000 creators. This represents a shift from task automation to full business operation for the solo creator economy.
How AI Shopping Agents with Integrated Payments Will Transform Luxury E-Commerce
Google and Splitit are integrating installment payments directly into AI shopping agents. This allows AI assistants to autonomously complete high-value purchases, removing friction for luxury clients and potentially boosting AOV by 20-40%.
How AI-Driven Portfolio Analytics Can Sustain Luxury's Multi-Brand Growth
Prada Group's 20-quarter growth streak, powered by Miu Miu's momentum, highlights the critical need for AI-powered brand portfolio management. This technology enables real-time performance diagnostics, predictive cannibalization analysis, and strategic resource allocation across house of brands.
Privacy-First Computer Vision: Transforming Luxury Retail Analytics from Showroom to Boutique
Privacy-first computer vision platforms enable luxury retailers to analyze in-store customer behavior, optimize merchandising, and enhance clienteling without compromising personal data. This transforms physical retail intelligence with ethical data collection.
Google Collaborates with Macy's to Develop 'Ask Macy's' AI Agent
According to Digital Commerce 360, Google is helping Macy's develop an AI agent called 'Ask Macy's'. This signals a deepening partnership between the retail giant and Google Cloud, aiming to deploy generative AI for customer service and product discovery. While full details are limited, the move represents a direct, large-scale application of conversational AI in luxury and general retail.
Shopify Engineering Teases 'Autoresearch' Beyond Model Training in 2026 Preview
Shopify Engineering has previewed a 2026 perspective suggesting 'autoresearch'—automated research processes—will have applications extending beyond just training AI models. This signals a broader operational automation strategy for the e-commerce giant.
Computer Vision's Retail Applications: A Look at Current Use Cases
An article from vocal.media details five real-world applications where computer vision is transforming retail operations, including inventory tracking, loss prevention, and customer analytics.
POP.STORE Launches ECHO-ME, an Agentic AI Platform to Run Creator Businesses
POP.STORE has launched ECHO-ME, an 'agentic AI commerce platform' designed to autonomously manage the business operations for creators. It monitors social DMs, detects brand deals, ranks followers, and drives sales, aiming to act as an intelligent operating layer for 15,000 onboarded creators.
Beyond Blue Books: How Real-Time Market Intelligence AI is Transforming Luxury Asset Valuation
duPont REGISTRY Group's deployment of real-time AI analytics for luxury vehicles demonstrates a scalable model for dynamic pricing, authentication, and market forecasting of high-value collectibles. This approach directly translates to luxury retail for limited editions, vintage items, and exclusive collections.
How I Built a Production AI Query Engine on 28 Tables — And Why I Used Both Text-to-SQL and Function Calling
A detailed case study on building a secure, production-grade AI query engine for an affiliate marketing ERP. The key innovation is a hybrid architecture using Text-to-SQL for complex analytics and MCP-based function calling for actions, secured by a 3-layer AST validator.
Retail traffic from LLMs surged 393% year-on-year, reports CX Network
According to CX Network, retail traffic originating from large language model interfaces increased 393% year-on-year, highlighting the growing role of conversational AI as a customer acquisition channel for retailers.
Pinterest's MIQPS: A Data-Driven Approach to URL Normalization for Content
Pinterest's engineering team details the MIQPS algorithm, which dynamically identifies 'important' vs. 'noise' query parameters per domain by testing if their removal changes a page's visual fingerprint. This solves the costly problem of ingesting and processing duplicate product pages from varied merchant URLs.
The Graveyard of Models: Why 87% of ML Models Never Reach Production
An investigation into the 'silent epidemic' of ML model failure finds that 87% of models never make it to production, despite significant investment in development. This represents a massive waste of resources and talent across industries.
Agentic AI Emerges as a Strategic Force in Private Label and Loyalty
Three industry reports highlight the growing adoption of 'agentic AI' in retail. The technology is being used to streamline private label product development and create highly personalized customer loyalty experiences, moving beyond simple chatbots to autonomous workflow orchestration.
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.
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.
EXCLUSIVE Q&A: Bain & Co. Analyzes Next-Gen AI in Retail Marketing
Consulting giant Bain & Company provides expert analysis on the evolution of AI in retail marketing, detailing how next-generation generative AI is shifting from operational efficiency to driving personalized engagement and growth.
ByteDance's OmniShow Unifies Text, Image, Audio, Pose for Video Gen
ByteDance introduced OmniShow, a unified multimodal framework for video generation that accepts text, reference images, audio, and pose inputs simultaneously. It claims state-of-the-art performance across diverse conditioning settings.
Verizon Hospitality Leader Discusses AI's Role in Eliminating Phantom Inventory
A Verizon hospitality leader shared insights on using AI and IoT technologies to tackle phantom inventory—discrepancies between digital stock records and actual physical stock. This is a pervasive and costly issue in retail, directly impacting sales and operations.
When Craft Meets Code: How Luxury Brands Are Drawing the Line on AI
A new report details how luxury houses are implementing AI in back-end and client-facing roles but are establishing clear boundaries to safeguard the human artistry and heritage that define their value.
Coresight Research Report: Technology and Resilience as Path to Stronger Retail Margins
Coresight Research has published a report titled 'Supply Chain Insights for Food, Drug and Mass Retail: Technology, Resilience and the Path to Stronger Margins.' The research focuses on how strategic tech adoption can fortify operations and profitability in key retail segments.
Kering Shake-Up Reaches Jeweller DoDo as CEO Exits
The Business of Fashion reports that Kering's internal shake-up has extended to its jewellery subsidiary DoDo, resulting in the exit of its CEO. This indicates the luxury conglomerate's restructuring efforts are intensifying across its brand portfolio.
Guest Column Asks: Is Travel Retail Ready for Agentic AI?
A guest column in the Moodie Davitt Report explores the readiness of the travel retail sector for agentic AI adoption. It highlights the potential for autonomous AI agents to transform passenger experiences and operations in airports and duty-free.
EventChat Study: LLM-Driven Conversational Recommenders Show Promise but Face Cost & Latency Hurdles for SMEs
A new study details the real-world implementation and user evaluation of an LLM-driven conversational recommender system (CRS) for an SME. Results show 85.5% recommendation accuracy but highlight critical business viability challenges: a median cost of $0.04 per interaction and 5.7s latency.
Exclusive | Buying the Dip? This AI Agent Will Do It for You - WSJ
The Wall Street Journal reports on a new AI agent designed to autonomously execute 'buy the dip' investment strategies. This represents a significant step in the evolution of AI agents from assistants to autonomous decision-makers with financial agency.