ShopOS - 2026 Pricing, Features, Reviews & Alternatives

ShopOS is a cloud-based AI agents platform built for ecommerce and direct-to-consumer brands across fashion, hardlines, and general merchandise retail. It consolidates ads, content production, email, catalog management, and Shopify store operations into a single system, replacing the need for multiple disconnected tools. A desktop application for Mac (Cowork) extends platform capabilities to the local environment, and the web platform is mobile-compatible. Pricing tiers range from self-serve plans starting at $199/month to enterprise and managed squad configurations, making the platform accessible to growing DTC brands and large retail teams alike.

At the core of ShopOS is Brand Memory, a persistent context graph that stores brand voice, catalog data, audience definitions, creative performance history, past decisions, and competitive signals. AI agents reference this graph to execute tasks consistently across ads, content, email, and store management without requiring re-briefing. Spaces provide reusable workflow templates for recurring operations such as product launches, seasonal campaigns, and marketplace listings, which run automatically after initial setup. Batch Mode supports bulk SKU content generation, while AI image and video generation tools produce product photography, lifestyle shots, and ad creatives without photoshoots. The Refine feature allows teams to annotate AI outputs with comment-pin corrections that feed back into Brand Memory to improve future generation.

ShopOS integrates with Shopify, WooCommerce, and BigCommerce, and supports multiple AI model providers including Claude, GPT-4, and Gemini, continuously evaluating and selecting models across providers. Performance signals are tracked per asset, SKU, channel, and campaign, giving teams visibility into what content drives results. Cowork, the Mac desktop assistant, connects directly to the store and executes tasks through a three-tier permission system that keeps humans in control of high-risk actions. Data is encrypted in transit using TLS 1.2 or greater, and contractual agreements with AI providers prohibit use of customer data for model training, with no data stored with LLM providers.