AI AGENTS FOR WHOLESALE DISTRIBUTION
Give AI agents the right distribution context—with your team in control
Connect ChatGPT, Claude, Grok, Codex, or another compatible agent to approved operational data for order recommendations, customer summaries, inventory analysis, route insights, and sales analytics.
Get the ChatGPT pluginFROM QUESTION TO REVIEWED DECISION
AI for distribution should understand the operation—not just the prompt.
inSitu Sales gives compatible AI agents permissioned access to the records behind each recommendation, summary, and analysis.
Suggest replenishment from customer history, pricing, promotions, and available stock.
Bring orders, open invoices, notes, returns, and recent activity into one account briefing.
Ask about sales trends, route performance, field activity, inventory risk, and exceptions.
Choose the connected company, available tools, visible data, and required human review.
How the permissioned AI agent connection works
AI agents You choose the tool
Use the inSitu Sales plugin in ChatGPT to analyze, summarize, and prepare recommendations.
Open plugin listing
Install from the official GitHub repository for Claude Code or another compatible MCP client.
Open guided setup
Add inSitu Sales as a custom MCP connector in Grok. Workspace plans and admin controls may apply.
Open guided setupAI FOR DISTRIBUTION OPERATIONS
Ask operational questions. Inspect the evidence. Decide what happens next.
AI ROUTE OPTIMIZATION
See which stops are drifting off plan—and why.
Use route assignments, service windows, stop history, and available operational context to surface late-stop risk and route inefficiencies.
- Ask which route needs attention first
- Compare planned and observed stop timing
- Review evidence before changing a route
AI INVENTORY MANAGEMENT
Find stockout risk before the truck leaves.
Bring truck and warehouse inventory together with open orders and recent demand signals to explain which items are at risk.
- Separate current stock from projected demand
- Focus on the routes and items that matter today
- Trace each recommendation back to evidence
STOCKOUT RISK BY ITEM
Next 15 daysAI ORDER RECOMMENDATIONS
Recommend the next order without hiding the reasoning.
Use customer history, customer-specific pricing, promotions, inventory, and recent demand to prepare a proposed order that a person can review, adjust, approve, or reject.
- Keep customer-specific pricing and history attached
- Show why every suggested item and quantity appears
- Require a person to make the decision
DRAFT ORDER
Acme MarketsAI CUSTOMER SUMMARIES
Brief every rep before the customer visit.
Summarize the account information a rep needs without opening the rest of the company books or exposing unrelated records.
- Review recent orders and buying patterns
- Surface open invoices, notes, returns, and pricing context
- Explain the next best conversation or follow-up
CUSTOMER BRIEF
Acme MarketsCore beverage volume is steady. Two snack SKUs are below the customer's normal reorder pattern. One recent return cites damaged packaging, and the latest account note asks about the fall promotion.
AI SALES ANALYTICS
Analyze distribution data by asking a business question.
Use conversational analysis to compare time periods, customers, products, reps, routes, orders, invoices, payments, returns, and inventory exceptions.
- Start with a plain-language question
- Keep the date range and source records visible
- Move from summary to detail before deciding
“Which customers and products drove the sales change this month?”
Analyzing approved sales and order data- 01
Top driver Beverage volume increased across 18 convenience accounts.
- 02
Watch item Snack sales fell where two routes had repeated stockout risk.
- 03
Next question Compare the affected customers by rep, route, and inventory source.
THREE AGENT OPTIONS. ONE OPERATIONAL LAYER.
Use the AI workspace your team already knows.
Connect through the official ChatGPT listing, the inSitu Sales GitHub package, or Grok's custom MCP connector setup.
Open the official inSitu Sales plugin listing, connect an authorized account, and use the tools made available to your workspace.
Launch Claude with a ready-to-review prompt containing the official GitHub package, MCP endpoint, and secure OAuth guidance.
Launch Grok with the custom connector prompt already filled in. If prompt prefilling is unavailable, copy the MCP server below.
https://api.insitusales.com/mcpCONTROL THE CONTEXT
Start with a focused use case, then expand deliberately.
AI is most useful when the question, source data, and decision boundary are explicit. Keep access narrow, test the workflow, and give each team only the tools it needs.
- 01Choose the question
Define the operational decision you want the agent to support.
- 02Approve the connection
Connect the authorized company and review the available tools.
- 03Verify the evidence
Make recommendations explainable with the underlying records.
- 04Keep people in control
Review, adjust, approve, or reject the proposed next step.
AI AGENTS FOR DISTRIBUTION FAQ
Clear answers before you connect.
Connection details depend on your inSitu Sales account, enabled tools, AI platform, plan, and organization settings.
What can AI agents analyze with inSitu Sales?
Depending on the tools and permissions enabled for the connection, an agent can help analyze routes, stops, inventory, stockout risk, customers, products, orders, invoices, payments, returns, and field activity. Teams can ask questions in natural language, compare trends, identify exceptions, and trace each answer back to the connected operational records.
What is an AI agent for wholesale distribution?
An AI agent for wholesale distribution connects a conversational AI workspace to approved operational data such as customers, products, inventory, routes, orders, invoices, payments, and field activity. It can summarize information, analyze patterns, and prepare recommendations while your organization controls access and reviews consequential actions.
Can an AI agent create orders automatically?
The recommended workflow keeps a person in control. Agents can use order history, customer-specific pricing, inventory availability, promotions, and recent demand to prepare an AI order recommendation or draft. Your team reviews, adjusts, approves, or rejects the result before an operational action is taken. Available actions depend on the tools and permissions configured for the connection.
Can AI summarize a customer before a sales visit?
Yes. A connected agent can prepare a customer account summary from the information made available to it, including recent orders, buying patterns, open invoices, notes, returns, pricing context, and recent field activity. The summary helps a rep understand the account without exposing unrelated company information.
Can managers use conversational AI for distribution data analysis?
Yes. Managers can ask operational questions in natural language and use the connected records to analyze sales trends, route performance, customer activity, inventory risk, order patterns, returns, and field execution. Results should identify the source records and time period so a person can verify the analysis.
How do I connect inSitu Sales to ChatGPT or Codex?
Open the inSitu Sales plugin listing in ChatGPT, connect your authorized inSitu Sales account, and approve the requested access. Workspace availability and actions can also be managed by your organization administrator.
Can I use inSitu Sales with Claude, Grok, or another AI agent?
Yes. The official inSitu Sales GitHub repository includes plugin and MCP configuration for Claude Code, Codex, and other compatible MCP clients. Grok supports custom MCP connectors, so teams can connect the inSitu Sales MCP endpoint through Grok's connector setup. The Claude directory listing is still pending, so Claude users should follow the GitHub installation path for now.
Does the AI agent see all of our company data?
No connection should be treated as unlimited by default. Your organization controls the connected company, available tools, authentication, and the operational data exposed through those tools. Review the configured permissions before making a connector available to a team.
READY TO EXPLORE A CONTROLLED AI WORKFLOW?