Our Mission
AI Shopper News is the only news destination focused exclusively on the intersection of artificial intelligence and retail commerce. We exist to help retail executives, technology leaders, and industry professionals cut through the noise and stay informed about the innovations reshaping how consumers discover, evaluate, and purchase products.
From AI shopping assistants and virtual try-on technology to cashierless stores and agentic commerce, we curate the developments that matter most to professionals navigating this rapidly evolving landscape.
Why we exist: The retail technology space generates hundreds of articles daily across dozens of publications. We save professionals hours of research by monitoring 97+ sources across 21 specialized categories, surfacing only the most relevant and impactful stories.
Meet the Founder
Fred Skoler
Founder & Editor-in-Chief
Fred is an entrepreneurial product executive with over 15 years of experience building and scaling digital commerce products. He founded AI Shopper News to bring clarity to the rapidly changing AI retail market, drawing on deep expertise in e-commerce, personalization, and retail technology.
His background includes leadership roles at Epsilon (Publicis Groupe), where he owned AI/ML-powered analytics platforms serving clients like Walmart and Epic Games, and Sears Holdings, where he built omnichannel e-commerce platforms generating $3B+ in annual revenue.
Fred holds 8 U.S. patents in AI-driven personalization, behavioral analytics, and data-driven optimization. He has built 30+ digital products with cumulative value exceeding $8 billion across complex, multi-brand retail organizations.
What We Cover
AI Shopper News provides comprehensive coverage across 21 specialized categories in AI shopping and e-commerce technology:
🤖 Retail AI
AI transformation in retail operations and automation
💬 Shopping Assistants
AI-powered conversational commerce and chatbots
👗 Virtual Try-On
AR/VR fitting rooms and visualization technology
⚡ Agentic Commerce
Autonomous AI agents handling shopping tasks
🏪 Cashierless Stores
Just Walk Out technology and autonomous checkout
👁️ Computer Vision
Visual search and recognition systems
😊 Customer Experience
AI-powered personalization and engagement
📦 Inventory Management
Smart stock optimization and automation
📊 Predictive Analytics
Demand forecasting and data insights
🤖 Store Automation
Robotics and automated retail operations
🚚 Supply Chain AI
Logistics optimization and fulfillment automation
🛒 E-commerce Platforms
Online retail technology and infrastructure
🔧 Retail Technology
General retail tech innovations and systems
📱 Mobile Commerce
Mobile shopping apps and technology
🥽 Augmented Reality
AR shopping experiences and immersive retail
📈 Conversion Optimization
Sales enhancement and conversion technology
🔄 Omnichannel
Unified cross-channel retail experiences
📱 Social Commerce
Social media shopping and integration
💳 Payment Technology
Payment systems and checkout innovation
📋 Industry Reports
Market research and industry analysis
⭐ Product Reviews
Technology reviews and evaluations
How It Works
AI Shopper News combines intelligent automation with editorial expertise:
- Curated Source Network: We monitor 97 trusted industry sources including major technology publishers, retail industry publications, AI research outlets, and specialized commerce platforms.
- Intelligent Filtering: Our system uses 190+ AI shopping-specific keywords and sophisticated relevance scoring to surface only the most pertinent articles while filtering promotional and off-topic content.
- Smart Categorization: Articles are automatically classified across 21 specialized topic areas including Retail AI, Shopping Assistants, Virtual Try-On, Agentic Commerce, Cashierless Stores, Payment Technology, and more.
- Real-Time Updates: New content is aggregated and published every 4 hours, ensuring you stay current with breaking developments.
- Full Attribution: Every article links directly to its source publication, supporting original journalism while making discovery easier.
Our Editorial Approach
While our aggregation is automated, our editorial standards are deliberate and informed by decades of experience in retail technology.
Source Selection
We monitor 97+ carefully selected sources including major technology publishers (TechCrunch, VentureBeat, The Verge), retail industry publications (Retail Dive, Chain Store Age, NRF), and specialized AI outlets. Sources are vetted for journalistic standards and industry credibility.
Relevance Filtering
Our system uses 190+ AI shopping-specific keywords combined with negative filtering to ensure articles genuinely address our core topics. We prioritize substance over clickbait, favoring in-depth reporting and analysis over promotional content.
Category Expertise
Our 21 specialized categories reflect the taxonomy used by industry professionals. From Agentic Commerce to Virtual Try-On, each category is designed to help readers quickly find developments relevant to their specific interests.
Original Attribution
Every article links directly to its source publisher. We believe in supporting quality journalism by driving readers to original content while making it easier to discover relevant stories across the industry.
Our Commitment
Quality Over Quantity: We focus on high-quality, relevant content from established technology and retail publications.
Transparency: Every article clearly displays its source publication, ensuring you know exactly where information originates.
No Editorial Bias: Our automated system presents news objectively without human editorial intervention or opinion.
Regular Updates: With updates every 4 hours, you'll always have access to the latest developments in AI shopping technology.
About DigiSnax LLC
AI Shopper News is a publication of DigiSnax LLC, a digital media and technology consulting company headquartered in Barrington, Illinois (Chicago metro area).
Founded by Fred Skoler, DigiSnax combines deep expertise in digital commerce, product management, and AI/ML technologies to create information platforms that serve niche professional audiences. Our consulting practice has delivered digital transformation and commerce growth strategies for Fortune 500 consumer brands including Fujifilm, Ubisoft, and major retail organizations.
We believe in the power of focused curation to deliver timely, relevant information at scale, helping professionals stay informed without information overload.
Stay Connected
Explore our categories, use our search function, or browse the archive to discover insights about AI-powered shopping.