Built from the 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.
Shipwell's Track & Trace AI Worker automatically resolved 53% of monitored shipments with exceptions, addressing the gap between executive AI enthusiasm and operations team skepticism. Commerce leaders must prove AI reliability through real workflows and guardrails rather than ROI promises to earn operational adoption.
AI tools analyze how large language models represent brands and categories, enabling content and SEO teams to optimize for answer-engine discovery alongside traditional search rankings.
Bloomreach unveiled Loomi, an AI platform that interprets customer behavior in real time and orchestrates personalized responses across channels without batch delays. For commerce teams, this addresses a critical gap: acting on intent signals before customers abandon sessions, directly improving revenue and retention.
AI synthesizes market signals, brand context, and historical performance data to generate structured creative briefs and strategic frameworks, accelerating upstream planning cycles.
Fanatics is launching an OpenAI-powered version of Shop the Look that uses AI models to recommend coordinated merchandise across its network, including official NFL, NBA, MLB, and NHL stores. The feature achieved 10% higher engagement than the previous experience on MLB products, demonstrating how AI-driven personalization can drive incremental commerce value at scale.
AI evaluates creative assets against brand guidelines, audience perception data, and competitive context to predict performance before launch — reducing costly misalignment.
Physical retail is shifting from touchscreen-based interactivity to environment-aware responsiveness, where stores adapt content based on foot traffic, inventory levels, and operational conditions. For commerce practitioners, this means rethinking store technology as orchestrated communication rather than accumulating displays—simplifying operations while scaling experiences across store networks.
Google, Shopify, Etsy, Wayfair, Target and Walmart launched the Universal Commerce Protocol to standardize how AI agents read store catalogs, pricing and availability—turning on a layer of AI discoverability across millions of storefronts this year. For retailers, AI-referred traffic converted 60% higher than non-AI visits in July and generated 53% more revenue per visit, making visibility in AI recommendations a critical competitive priority heading into peak season.
commercetools introduced Managed MCP Servers—hosted, configurable versions of Commerce MCP that let teams deploy focused AI agents with restricted tool sets, filtered data, and project-specific guidance. Commerce teams can now enforce security and data privacy at the infrastructure level rather than relying on model instructions alone, reducing token costs and exposure of sensitive customer information.
Shipwell's Track & Trace AI Worker automatically resolved 53% of monitored shipments with exceptions, addressing the gap between executive AI enthusiasm and operations team skepticism. Commerce leaders must prove AI reliability through real workflows and guardrails rather than ROI promises to earn operational adoption.
Bloomreach unveiled Loomi, an AI platform that interprets customer behavior in real time and orchestrates personalized responses across channels without batch delays. For commerce teams, this addresses a critical gap: acting on intent signals before customers abandon sessions, directly improving revenue and retention.
Fanatics is launching an OpenAI-powered version of Shop the Look that uses AI models to recommend coordinated merchandise across its network, including official NFL, NBA, MLB, and NHL stores. The feature achieved 10% higher engagement than the previous experience on MLB products, demonstrating how AI-driven personalization can drive incremental commerce value at scale.
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, the 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
We use cookies to keep the site working and, with your consent, to understand how visitors use it (via Google Analytics, a third-party service). You can accept all, reject non-essential cookies, or choose per category. See our .
