affiliate marketing
8 articles about affiliate marketing in AI news
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.
Beyond Anomaly Detection: Protecting High-Value Affiliate Partnerships in Luxury Retail
Traditional ML fraud detection systems often flag top-performing luxury affiliates as suspicious due to their outlier performance. This article explores the baseline problem and presents a governance-first approach to distinguish true fraud from legitimate viral success.
26 Humanoid Robot Brands to Field 300+ Units in Beijing's E-Town Half Marathon on April 19
On April 19, Beijing's E-Town will host a half marathon where 300+ humanoid robots from 26 brands will run 21km. This is the largest public endurance and locomotion stress test for commercial humanoid platforms.
AI Researcher Kimmonismus Predicts AGI Within 6-12 Months, Widespread Worker Replacement in 1-2 Years
Independent AI researcher Kimmonismus predicts AGI will arrive within 6-12 months, with widespread worker displacement following in 1-2 years. The forecast, shared on X, adds to a growing chorus of near-term AGI predictions from industry figures.
Deloitte Report: The Future of Commerce is Agentic Shopping in Asia Pacific
Deloitte has published a report on 'Agentic Shopping' in Asia Pacific, framing AI agents as the next major commerce paradigm. This signals a strategic shift from passive recommendation engines to proactive, autonomous shopping assistants.
Gen Z Leading AI Agent Shopping 03/23/2026 - MediaPost
A MediaPost report from March 2026 highlights Gen Z as the leading demographic adopting AI agents for shopping. This signals a critical shift in consumer behavior that luxury and retail brands must prepare for.
Graph-Based Recommendations for E-Commerce: A Technical Primer
An overview of how graph-based recommendation systems work, using knowledge graphs to connect users, items, and attributes for more accurate and explainable product suggestions in e-commerce.
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.