Insights
Retail, automation, and technical cases — written by people who build.
Shopping agents already discover and recommend products without users visiting your store. If your catalog isn't machine-readable, you don't exist in that flow.
Universal Commerce Protocol (UCP) aims to unify how agents query catalog, pricing, and checkout. What it means for your stack.
Automating broken processes, ignoring data, or deploying chatbots without structured catalogs: failures we see again and again.
Six yes/no questions to assess whether your retail can be found, compared, and bought by AI agents.
Transparency on our process: what AI generates, what a senior engineer always reviews, and why that matters in retail.
A practical framework for deciding where artificial intelligence delivers real ROI versus simpler deterministic solutions.
How to design retrieval-augmented systems that respect permissions, traceability, and data governance.
Automating support, sales, and back-office with orchestrated agents, tools, and human oversight.
Patterns with AWS Step Functions, Lambdas, and language models to automate end-to-end processes.
Unifying ERP, CRM, and cloud platforms to feed predictive models and real-time dashboards.
Latency, cost per inference, response quality, and proactive alerts in production.
How we structure discovery, MVP, and scaling when AI is part of the product core.
Semantic search, recommendations, and dynamic pricing integrated into high-performance stores.
Design principles for assisted experiences without sacrificing clarity, accessibility, or trust.
