Insights, updates, and expert perspectives on AI agents and technology
As AI shopping agents take over the first steps of the buying journey, marketers must evolve strategies to influence both the agent’s logic and the human user’s final decision.
To succeed in AI-to-AI commerce, e-commerce businesses must embed ethical practices into their AI systems, ensuring transparency, fairness, and trust for both agents and human users.
E-commerce businesses must build internal AI capability, beyond "buying tools" to engage effectively with personal AI shopping agents through expertise, collaboration, and agile execution.
Preparing your data and technology infrastructure is foundational for enabling seamless interactions with personal AI shopping agents in the era of AI-to-AI commerce.
Developing a clear, cross-functional AI strategy is essential for e-commerce businesses to thrive in a future shaped by personal AI shopping agents.
As AI shopping agents drive instant price comparisons, businesses must evolve dynamic pricing strategies to stay competitive, avoid margin erosion, and prepare for future AI-to-AI negotiations.
As AI shopping agents become more common, e-commerce security systems must evolve to distinguish them from malicious bots and protect both transactions and user accounts.
As AI shopping agents introduce faster, more dynamic purchasing patterns, e-commerce businesses must modernize inventory management and demand forecasting to remain responsive and competitive.
As AI shopping agents drive higher transaction volumes and faster interactions, e-commerce businesses must optimize backend operations with internal AI automation and robust system integration.
As AI shopping agents increasingly control purchasing decisions, businesses must rethink cart abandonment strategies to re-engage both agents and the humans they represent.
Personalized recommendations in the age of AI shopping agents must evolve to influence the agent's decision-making while ultimately serving the human user’s preferences.
To stay competitive in the age of AI shopping agents, e-commerce businesses must optimize product discovery and search with structured data, enriched attributes, and agent-friendly design.
To future-proof customer experience, businesses must prepare for increasingly sophisticated AI shopping agents by rethinking personalization, frictionless interaction, and AI integration strategy.
Measuring customer experience excellence must evolve as AI shopping agents become a new class of e-commerce users, requiring new metrics for success beyond traditional human-centric CX models.
E-commerce platforms must evolve to support personal AI shopping agents by eliminating friction points and enabling machine-readable, agent-friendly experiences.
As AI shopping agents increasingly act on behalf of consumers, e-commerce businesses must adapt their systems to engage effectively with this new class of autonomous customers.
