AI assistant for e-commerce teams — ops without the tab-hopping

Running a store is a loop of small operational jobs that never end: where's the PO, why is this SKU low, who answers the "where's my order" emails, what did we actually sell yesterday. None of it is strategy. All of it eats the day, across eight tabs — storefront, email, 3PL portal, supplier spreadsheets, ad dashboards, a chat full of pings.

An AI colleague built for real work collapses that loop into a text thread. You ask; it does; it reports back; and the tools stay updated as a side effect.

What Arlo runs for a store

• Supplier and 3PL follow-ups — the chase is the job: the late PO, the missing tracking, the freight quote nobody answered. Arlo chases by email, and when email stalls, it calls — then posts the outcome in your thread and updates the record.
• Customer email triage — refund requests, where-is-my-order, the angry one that needs you. Arlo sorts, drafts in your brand voice, and shows you each reply before it goes, unless you tell it to just send the routine ones.
• The morning brief — one message: yesterday's sales, the SKUs that crossed reorder points, shipments that slipped, and the two customer threads worth your attention. Pulled from your tools while you slept.
• Portals with no API — half of e-commerce ops lives in supplier portals and legacy dashboards no integration covers. Arlo logs in once through a secure browser session and clicks, reads, and files the way a person would.
• Records as a side effect — inventory notes, supplier threads, ticket statuses, the ops spreadsheet: updated when the work happens, not reconstructed on Friday.

Where it lives

Where your team already talks. Text Arlo from iMessage on the warehouse floor, @mention it in the ops Slack channel, or ask on a call. One persistent memory spans every channel, so "the supplier from last month's shortage" needs no re-explaining — and the morning brief lands in whichever thread you actually read.

Governance, because this touches customers and money

E-commerce automation has a failure mode: the bot that emailed the wrong customer, refunded the wrong order, or spammed a supplier. Arlo's answer is structural — policy checks before every run, asking first before money moves, before anything that can't be undone, and whenever a request is unclear, and a full audit trail of every call, email, and change. You can tell it to always ask before certain actions, and you can always read exactly what it did.

Frequently asked questions

What can an AI assistant do for an e-commerce business? Chase suppliers and 3PLs by email or live phone call, triage and draft customer email, deliver a daily numbers brief, work no-API portals through a secure browser session, and keep records updated — asking first before refunds, payments, or anything unclear.

Does it integrate with my store stack? Arlo connects to 3,000+ tools, and for portals with no API it operates the interface directly through a secure browser session. Check the in-product integrations list for your specific stack.

Can it talk to customers directly? It drafts customer replies in your brand voice and shows them to you before they go, unless you tell it to just send. Many teams tell Arlo to always ask before customer email, and let routine internal work run on clear asks.

Can it really call a supplier? Yes. Arlo places live calls, has the conversation, and keeps the transcript, so you can ask how it went and have it update your records.

What does it cost? Arlo is free to start with $20 of usage a month, and that includes calls and bookings, not only chat. Plus is $20 a month for $100 of usage, and Max is $100 a month for $500 of usage. Every capability, including live supplier calls, is on every plan. Admin controls, SSO, and audit export are available on request. Weigh that against the hours of ops chasing it absorbs weekly.