Connect your commerce stack once.
Path Analytics connects supported retail, ecommerce, supply chain, and operations systems into one shared retail context — then brings that same context to your teams and the AI assistants you choose, instead of a separate connection for every system and every assistant.
Once connected, click Analyze to put the same evidence and recommended actions in front of every team — from the floor to the executive suite.
Connect supported commerce sources through one intelligence layer.
Categories shown reflect where Path Analytics connects commerce data today. Confirm system-specific connector coverage for your stack during onboarding.
Retail Systems
POS, stores, and customer data across connected locations.
Ecommerce & Marketplaces
Owned ecommerce plus supported marketplaces such as Amazon, eBay, Shopify, and Etsy.
Supply Chain & Fulfillment
Warehouse and DC inventory, fulfillment, shipping, and delivery exceptions.
ERP, Operations & Production
ERP and planning data, listings, production commitments, and field operating workflows.
Extend to the AI stack your teams choose.
Path Analytics can extend governed retail context to supported vendor-preferred AI assistants, including Claude, ChatGPT, Gemini, Microsoft Copilot, Amazon Bedrock agents, Llama-based agents, Mistral, Cohere, DeepSeek, and custom enterprise agents. Supported connection methods include MCP and REST; the available method, authentication, and resources vary by assistant and deployment.
Connect once, not every time.
Configure each source once, map it to shared retail entities, then ask, review, and extend. Here's why that beats connecting directly, what a connected assistant receives, and what setup involves.
See how your systems connect to Path Analytics.
Walk through supported connections, setup expectations, and what teams and AI assistants receive.