AI & Machine Learning

Agentic AI has become the phrase vendors use when they want their product to sound more capable than a workflow automation tool. The actual concept is useful and distinct — but the noise-to-signal ratio in coverage of the topic is currently very low. An agentic AI system is one that can take sequences of actions…

Retrieval-Augmented Generation — RAG — is currently the most practical architecture for deploying AI-powered customer support in eCommerce environments. Unlike pure language model approaches, RAG grounds the model’s responses in your actual data: your product catalog, your return policies, your order records, your support documentation. The idea is straightforward. The implementation is less so. The…

Most AI integration projects for eCommerce begin the same way. A compelling demo — a chatbot that can answer product questions, a recommendation system that surfaces relevant items, an inventory tool that flags reorder triggers. The demo works. The integration project gets approved. And then something goes wrong between the demo environment and production. The…