Pollen & Co

How Pollen & Co answers order-status emails in 14 minutes

An AI agent drafts replies to order-status emails using live Shopify and courier data. A person approves each one before it sends.

Pollen & Co

How Pollen & Co answers order-status emails in 14 minutes

An AI agent drafts replies to order-status emails using live Shopify and courier data. A person approves each one before it sends.

Pollen & Co

How Pollen & Co answers order-status emails in 14 minutes

An AI agent drafts replies to order-status emails using live Shopify and courier data. A person approves each one before it sends.

68%

68%

of order-status emails drafted by an agent

Build time

6 weeks

Team size

25 people

Industry

DTC skincare

Tools used

Shopify · Intercom · OpenAI · n8n

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The problem

Around 60% of Pollen’s support inbox was some version of “where is my order?” Answering each one meant opening Shopify, finding the tracking number, checking the courier’s site and writing a reply. Two people spent most of their week on it, and during launches replies took up to a day.

What we built

An agent in n8n reads each new Intercom conversation and decides whether it’s an order-status question. If it is, it looks up the order in Shopify, checks the latest courier event and writes a draft in Pollen’s tone of voice. The draft shows up in Intercom as a note, and someone on the team approves or edits it before it goes out.

Anything about refunds or allergic reactions skips the agent entirely and goes straight to a person.

The result

68% of order-status emails now get a usable draft. The team sends most of them unchanged and edits about one in eight. Median first response time went from 9 hours to 14 minutes.

I was skeptical about the AI support thing. Now it drafts, Maya approves, and customers hear back in minutes.

I was skeptical about the AI support thing. Now it drafts, Maya approves, and customers hear back in minutes.

Tom Ashby

Founder, Pollen & Co

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