AI Shopping and Commerce Platforms/Protocols cover the software, browser extensions, and emerging interoperability standards that connect discovery, personalization, merchandising, and post‑purchase operations across channels. As commerce fragments across marketplaces, direct‑to‑consumer sites, POS systems and social touchpoints, brands and retailers are increasingly adopting AI to unify data, automate CX, and surface the right product at the right time. Key capabilities include omnichannel measurement and profitability (Dema.ai), first‑party audience segmentation and activation (FULLVENUE), and AI + human marketing orchestration (Katalis AI). Consumer‑facing shopping assistants such as Penny AI and ShopGuru provide in‑page price comparisons and review synthesis that accelerate purchase decisions. CX automation platforms and plug‑and‑play chatbots like Verifast handle guided selling and 24/7 support, while content tools—CopyMonkey for optimized marketplace listings and Lily AI for product enrichment—improve discoverability across search and ads. Pixite and similar services close the loop by generating bespoke product designs and managing production for on‑demand commerce. On the protocol side, initiatives around a Universal Commerce Protocol aim to standardize how product, inventory, promotion and conversational intents flow between agents, storefronts and marketplaces—enabling composable retail stacks and safer use of first‑party data. As of early 2026, the most relevant trends are AI orchestration, composable commerce, privacy‑first data strategies, and a split between consumer assistants and enterprise-grade automation. Together these tools and protocols reduce friction across the customer journey, speed content and campaign execution, and make cross‑channel measurement and personalization more operationally tractable.