Personalized customer outreach without the manual segmentation.
Pairs each loyalty customer's purchase history with this week's new arrivals and writes a one-line pitch in your brand voice — across email, SMS, and direct mail.
1,840 personalized notes queued. Sample for a regular customer:
How does OpenAI (ChatGPT) work for retail teams?
OpenAI (ChatGPT) works for retail teams as the engine behind an Arahi AI agent built around the workflows that actually consume your week. The agent reads context from OpenAI (ChatGPT) and the other systems your retail operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. Automate repetitive tasks and free up your retail team to focus on high-value strategic work. Teams typically see improved abandoned carts recovered once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your retail team defines — not a generic template applied to your business.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT). For retail teams, this typically means routing workflows from tools like Shopify alongside OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Renee — the linen jumper you've been eyeing dropped in oat
Two things in the new drop with your name on them: the long linen jumper (we know you snagged it last year in clay) just landed in oat, and the cropped linen shirt has a sage option that pairs perfectly.
Personalized using LinkedIn activity from the last 30 days.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to renee.cho@homemail.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Pair every loyalty member's purchase history with this week's new arrivals — @Ch
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Shopify, Square, Lightspeed, Toast, Clover, plus loyalty platforms (Smile.io, Yotpo, Loyalty Lion). Customer purchase data flows into every personalized message.
From purchase history, browse history, and stated preferences. The match is real — not generic recommendations.
Email (Klaviyo, Postscript, Mailchimp), SMS, direct mail, and in-store messaging. Channel choice is per customer's preference.
Yes — reads the return request, processes per your policy, and routes edge cases to your team.
It only promotes products in stock at the customer's preferred store or in your warehouse. No frustrating "sold out" experiences.
Explore more AI agent solutions
Start automating Retail for OpenAI (ChatGPT)
7-day free trial. Works with the tools you already use.