MCP Brings Your 3PL Data
Into the AI You Already Think In.

Connect OGOship to Claude or ChatGPT and your operational data stops being something you look up. It becomes part of every decision you're already making with AI.

Your Best Thinking Happens in an AI Chat.
But Data Is Elsewhere.

You already use Claude or ChatGPT for the hard work: strategy, margins, pricing, hires. The thinking is there. The data isn't.
 
So when the question turns operational (which SKUs are profitable, why repeat purchase rate dropped, whether you can handle next week's campaign) you leave the chat, log into the 3PL portal, export a CSV, and paste fragments back in.
 
The OGOship MCP closes that gap. Connect once, and every AI conversation can pull live OGOship data without leaving the chat.

The Strategic Questions You've Never Had Time to Answer Properly

These are the conversations merchants are already having with Claude using the OGOship MCP.

Why isn't repeat purchase rate moving?

Ask Claude, in your own words: "I want to understand why my repeat purchase rate is low. Look at the last 90 days. What do customers who didn't come back have in common?"
 
What Claude does: pulls your orders, returns, claims, and delivery times. Looks for patterns across the customers who didn't return.
 
What you get: a real answer, not a dashboard you have to interpret. "Customers whose first order took more than 5 days never came back at the same rate. Fix the delivery experience for first orders.

Can the operation handle the campaign?

Ask Claude: "I'm about to launch a campaign next week. Based on current stock, recent shipment volumes, and our average delivery times, can we actually handle a 3x spike without quality dropping?" 

What Claude does: checks stock per warehouse, recent shipping performance, and the open issue queue. 

What you get: a go / no-go answer grounded in your actual operational state, not a hunch.

Who's actually worth a win-back email?

Ask Claude: "Find customers who bought twice or more, haven't ordered in 90 days, never had a return or claim, and bought from our top category. Export as CSV." 

What Claude does: queries customer history, filters down to the high-value churn-risk segment. 

What you get: a clean list you can load straight into Klaviyo. You stop blasting 8,000 contacts and start emailing the 200 who matter.

Which SKUs are quietly destroying your profit?

Ask Claude: "For every SKU sold last quarter, calculate revenue, return rate, fulfilment cost from the invoices, and effective margin. Rank them. Which should I stop promoting?" 

What Claude does: joins sales, returns, and invoice data, the analysis you've meant to do since you incorporated. 

What you get: the two or three SKUs that look like bestsellers and are actually losing you money on every order.

What's actually driving your returns?

Ask Claude: "Look at every return from the last quarter. Group them by reason and by product. Where's the money going, and is it one product or a pattern?" 

What Claude does: pulls your returns, groups them by reason and SKU, and weighs each against what it costs you to process. 

What you get: the real story behind the return rate. "One product is 40% of your returns, all for the same reason. Fix the size guide and you cut returns by a third.

Connect in Four Steps. No Developer Required.

You don't write code or touch an API. Pick your AI, follow four steps, and OGOship is connected. The whole thing takes about five minutes.

Support page for customers.

1.

Claude

  1. In Claude, add a new MCP connector and paste the OGOship server URL
  2. Claude opens your browser for OAuth login
  3. Log in with your myOGO credentials and authorise the connection
  4. Done. Claude can now query your OGOship data in any conversation

Pick the merchant and channel you want to work with at any time by asking.

2.

ChatGPT

  1. Enable developer mode in ChatGPT settings
  2. Add a new custom MCP app with the OGOship server URL
  3. Complete the OAuth login when prompted
  4. Start asking. Pick the merchant and channel you want to work with at any time by asking.

Pick the merchant and channel you want to work with at any time by asking.

Your fulfilment should do more than ship orders.
Talk to us.

Most 3PLs end at dispatch. OGOship gives you fulfilment and the post-purchase tools to bring customers back.

Contact sales

Have a question or want to get a quote on our services? Submit your message through our contact form and a member of our team will get back to you within 24 hours.







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    If It's in myOGO, You Can Ask About It

    The MCP gives Claude or ChatGPT access to the same operational data you see in myOGO, live and queryable in plain language.
    Any order, any customer, any time. Delivery times, shipment history, customer relationships across every order they've ever placed.
    Return reasons, patterns, dashboards, status. Open claims, resolved claims, linked items, trends. The data that turns returns from a number into a diagnosis, and shows what's actually going wrong in the last mile.
    Stock levels per warehouse, low-stock alerts, variants, bundles, change history. The numbers behind every campaign decision.
    Line-item invoice data, cost breakdowns by category, monthly dashboards. The numbers behind your real margin.
    Search, view, and create. The inbound side of the operation, accessible to the same conversation as everything else.

    Two Tools. Two Different Moments in Your Day.

    Boxy — The Operational Tool (in the picture) Lives inside myOGO. Built for fast lookups, quick decisions, daily work. Use Boxy when you're already in the platform and need an answer or an action without breaking your flow. "What needs my attention today?" "Pull this customer's history." "Approve these returns."

    OGOship MCP — The Thinking Tool Lives inside Claude or ChatGPT. Built for analysis, planning, and the decisions that combine your OGOship data with everything else you're working on. Use MCP when the question is bigger than a lookup. "Which SKUs should I stop promoting?" "Build a win-back segment." "Compare this quarter's operational quality to last year's."

    Read about Boxy here.