Connect once. Extend retail intelligence to the AI you choose.
Path Analytics includes built-in retail AI. Connect supported commerce systems once, then extend the same enriched, real-time context to supported assistants and merchant-operated agents—without connecting each assistant to every source system.
- Built-in retail AI
- Vendor-neutral extension
- Controlled business context
- Human-controlled actions
Connect once. Give every team better AI.
Connecting every system to every AI platform adds work and exposure. Path Analytics connects supported systems once and enriches their data with retail context—through one governed gateway.
Clarity for every team
From store floor to leadership: understand the issue, review recommended actions, and track progress.
Your business IP, governed
Keep business logic and access rules in Path Analytics. Assistants receive only the context the gateway returns.
Raw commerce data does not explain what to do next.
Sales history shows what happened. Useful retail intelligence also needs expected performance, inventory position, pricing, fulfillment, channel, and comparable-demand context.
Path Analytics organizes those signals into evidence and recommendations that teams and supported assistants can use without rebuilding retail logic for every model.
Give every question the context behind the answer.
Path Analytics adds the retail definitions, comparisons, evidence, and action context that raw source records do not provide on their own.
Context Evidence in.
Informed action out.
From question to next step.
Built-in AI or supported assistants. The same retail context.
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1 · Find the gap
“Which stores need attention?”
Answer: Stores below expected sell-through, given local demand and stock.
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2 · Understand why
“What is holding them back?”
Answer: Here, high-demand stores lack stock held at slower-selling locations.
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3 · Review the next step
“What should we do first?”
Answer: Inventory Operations reviews a transfer before discounting, then checks sell-through.
Your team decides and acts. Path Analytics tracks progress.
Assistants get context. Your team keeps control.
Path Analytics detects and recommends. It does not execute operational changes or write back to source systems.
Teams review the evidence, choose and carry out the action, then track progress and results.
Connect the AI stack your teams choose.
Path Analytics supports integration with Claude, ChatGPT, Gemini, Microsoft Copilot, Amazon Bedrock agents, Llama-based agents, Mistral, Cohere, DeepSeek, and custom enterprise agents. Connection method, authentication, available resources, and setup depend on your deployment.
ClaudeAnthropic
ChatGPTOpenAI
GeminiGoogle
CopilotMicrosoft
BedrockAmazon Web Services
LlamaMeta
MistralMistral AI
CohereCommand
DeepSeekDeepSeek AI
Enterprise agentsCustom
MCP
Model Context Protocol
REST
HTTP API
Start with Path Analytics. Extend when you are ready.
See how one governed retail context can support in-product intelligence and connected agentic workflows.
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