McFadyen Digital · AI Series

AI Best Practices for Commerce

Built from McFadyen Digital's definitive book on artificial intelligence in commerce — this platform distills 520 proven use cases, value chain frameworks, technology landscapes, and adoption guidance into a single actionable reference for commerce leaders and practitioners.

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AI in Commerce — Latest News

AI funding surge and global expansion accelerate

Anthropic opens Milan office to expand European enterprise reach

Anthropic launched its sixth European office in Milan to serve Italian enterprises, researchers, and developers building with Claude, following partnerships with major companies like Generali Group, Enel, and Satispay. For commerce practitioners, this signals Anthropic's commitment to localized support and demonstrates measurable productivity gains—Satispay compressed an 18-month roadmap to seven months using Claude across engineering teams.

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AI safety and alignment frameworks gain research focus

OpenAI publishes Frontier Governance Framework for AI safety compliance.

OpenAI released its Frontier Governance Framework on May 28, 2026, detailing how its safety and security practices align with emerging regulations including California's Transparency in Frontier AI Act and the EU AI Act's Code of Practice for General Purpose AI. Commerce teams deploying OpenAI models need visibility into these governance standards to ensure compliance and manage risk across cyber offense, CBRN risks, harmful manipulation, and loss-of-control scenarios.

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Generative AI tools expand into creative and code domains

OmniRetrieval unifies queries across diverse knowledge sources.

Researchers introduced OmniRetrieval, a framework that accepts natural-language queries and dispatches them to appropriate knowledge sources—text, relational databases, and knowledge graphs—while preserving each source's native structure and outperforming single-source baselines across 13 datasets. Commerce platforms can leverage this approach to unify product catalogs, inventory systems, and customer knowledge graphs under one query interface without forcing lossy homogenization.

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What's Inside:

01

Value Chains

AI mapped across the 4 stages of commerce — market, sell, fulfill, support — with capability fit and adoption priority for each.

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02

Use Cases

520+ filterable, citation-ready use cases by value chain and maturity — find what fits your roadmap in minutes.

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03

AI Tools

1233 AI tools mapped to commerce capabilities — narrow to a shortlist by stage, fit, and maturity before you talk to sales.

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04

AI Overview

Executive briefing on AI in commerce — transformation, roadmap, data foundations, and the human dimension in one read.

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05

Implementation & Adoption

McFadyen's implementation framework — phase-by-phase guidance to operationalize AI across your commerce org.

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06

Technology Overview

The AI stack for commerce — LLMs, embeddings, RAG, agents — mapped to platforms and the capabilities they unlock.

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07

Glossary

209 commerce-AI terms, vendor-neutral and optimized for team alignment and LLM retrieval.

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From Strategy to Execution: AI in Commerce

The commerce landscape is being reshaped by artificial intelligence — and the organizations that move with clarity and strategy will define the next decade of retail and digital commerce. This platform is the digital companion to AI Best Practices for Commerce, McFadyen Digital's definitive book written by practitioners with decades of hands-on commerce transformation experience.

Here you'll find 520 documented use cases mapped to the commerce value chain, strategic frameworks for adoption and implementation, an AI technology landscape segmented by commerce capability, standardized terminology for teams and systems, and actionable guidance to move from AI ambition to grounded execution — all in one structured, practitioner-grade reference.

AI Best Practices for Commerce — A book by McFadyen Digital (2026)