Deep dives on Gen AI in retail, ecommerce platform architecture, product data ecosystems, and the real-world patterns that separate working prototypes from production deployments.
Featured Essay
Gen AI · Retail
Product content generation, dynamic pricing, personalized search, and supply chain forecasting — Gen AI isn't replacing the retail stack. It's being inserted at every layer. Here's where it's actually working in production, and where it's still hype.
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8 PostsLLMs as the New Search Layer: Rethinking Product Discovery at Scale
Semantic search felt like the finish line. It wasn't. How LLM-native discovery pipelines are changing what relevance even means for large-SKU catalogs.
GDSN, GTINs, and the Quiet Infrastructure Powering Global Commerce
Nobody talks about product data standards until something breaks. A deep look at the syndication layer beneath every shelf tag and ecommerce listing — and why Gen AI makes it more important, not less.
Agentic AI in Retail Operations: What Actually Works Beyond the Demo
Vendors are showing slick agents that auto-reorder, respond to customer queries, and optimize planograms. Here's the gap between those demos and what's deployable today.
Composable Commerce in 2026: When It's the Right Call and When It's a Trap
MACH architecture evangelists won the argument. Now teams are living with the reality. A pragmatic breakdown of when to go composable and when the monolith still wins.
PIM Meets LLM: Automating Product Content Without Losing Control
PXM platforms are bolting on AI generation features. But AI-generated content at catalog scale introduces accuracy, consistency, and compliance risks most teams aren't prepared for.
The Hidden Cost of Bad Product Data: A Supply Chain Story
Duplicate GTINs, misclassified products, missing attributes — the invisible tax that bad product data places on every downstream system, from warehouse routing to AI training sets.
RAG vs Fine-Tuning for Retail AI Applications: A Decision Framework
Both approaches get oversimplified in vendor pitches. A practical framework for choosing between retrieval-augmented generation and fine-tuning based on the actual constraints of retail and ecommerce workloads.
Personalization at Scale: The Architecture Beneath the "For You" Experience
Personalization is a promise every commerce platform makes. Delivering it at real scale requires a specific set of infrastructure decisions most case studies gloss over.
About
I work at the intersection of retail technology, ecommerce systems, and applied AI — with a particular interest in how large language models and intelligent systems get integrated into the practical, unglamorous infrastructure that powers modern commerce.
My focus spans product data ecosystems (PIM/PXM, GDSN, syndication), ecommerce platform architecture, and the emerging patterns in Gen AI deployment across retail and supply chain contexts.
I write to think clearly — and to cut through the vendor noise with takes grounded in how these systems actually behave in production.
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