For ecommerce and small-business owners

I build the back office your business runs on.
Then I run it.

I connect the tools you already use so nobody retypes orders or bills, and I put a person's sign-off in front of anything unusual. I do this every day for an 8‑figure ecommerce company.

#night-shift
1:30 AM
11 PM to 6 AM in a small seller's back office, simulated from systems running today.
11 PM 6 AM
0
Orders synced
0
Bills entered
0
Supplier orders
0
Held for a person
    Example names and numbers. Hover or tap a box to see what runs there.
    Case study

    Business 01

    What I built there, and what it changed.

    Client
    An 8‑figure multi‑channel ecommerce company, name withheld
    Sells on
    Amazon, Walmart, eBay and its own store
    Catalog
    26,000+ products
    Work since
    March 2026, built and run by me
    01

    Vendor bills into QuickBooks

    2,800+

    bills and supplier credits entered in QuickBooks, March 1 to October 1. 610 of them in September alone.

    Before
    Supplier bills arrived as PDFs, and a person typed each one into QuickBooks.
    Now
    Each bill is read, entered and checked after it lands. Anything that looks unusual waits for a person to approve it.
    #invoice-approval-automation-reports-alertsSlack
    Slack: the approval step approves one bill after its shipment is verified, holds one whose drop-ship order has not shipped, moves one to a person because the supplier price could not be verified, holds one whose purchase order is not received, and approves one received in full.

    Real Slack messages from Business 01, October 13, shown in dark mode. Supplier names, numbers and amounts changed.

    How I checked itZero wrong entries on record since the approval step went live on July 17.

    02

    Supplier orders

    19 min

    median from a new order to the supplier's inbox, 26 automatic orders through October 1

    Before
    Someone on the team retyped each drop‑ship order into an email to the supplier and built the purchase order by hand. The median was about 20 hours.
    Now
    The order is caught, emailed to the supplier, linked to a purchase order, confirmed and tracked. 8 suppliers are wired in: 3 fully automatic, 5 on approval.

    From the sale to the supplier's inbox

    Drawn to scale · the clock starts slow, then speeds up

    Measured from the moment an order is created to the moment the supplier's email goes out. By hand: the median across 200+ orders the team placed between June 26 and September 20.

    #automation_dropshipsSlack
    Slack: at 3:44 PM the bot posts that a new order needs a drop ship; at 3:49 PM it posts that the order was placed, the email sent to the supplier and the purchase order created and linked.
    ThreadSlack
    Slack thread on that order: the email to the supplier is sent, then the purchase order is created and linked, and no manual steps are needed.

    Real Slack messages from Business 01, October 13, shown in dark mode. Supplier, order and part numbers changed.

    How I checked itA September audit replayed 204 real orders through it: 204 / 204 matched the order on record. Before launch, 23 of 23 matched what a person had placed.

    03

    Inventory and storefront watchdogs

    184

    products already sold below zero across channels, found in the watchdog's first hour

    Before
    There was no hourly check of each channel's listings against real stock, and no check on the live store after a change.
    Now
    An hourly watchdog compares every channel with real stock and flags what is oversold. Another checks the live storefront every hour. A rebuild of the store's menu made product pages 63% lighter.

    A product page, before and after the menu rebuild

    Drawn to scale · initial HTML in kilobytes

    How I checked itThe first scan covered 26,000+ products: 184 oversold, 20,320 out of stock and 2,345 down to their last 1 to 5. Page weight was measured July 31, before and after.

    04

    Cancellations, and asking the business a question

    2,551

    real messages replayed through the cancellation bot before launch, 0 misread

    Before
    Marketplace cancellation requests were posted in Slack and handled one at a time by hand. A question about the Amazon account or an order meant logging in and digging.
    Now
    A bot reads each cancellation request, finds the order and cancels it, or hands it to a person when it is unsure. Since October 11 an AI connector answers plain‑English questions from the Amazon account and the order system, and any change is previewed and confirmed first.

    How I checked it2,551 real messages were replayed before the bot went live on August 26, and 0 were misread.

    Also running there: a restock list at 6:00 AM, a sales recap at 7:00 AM, demand alerts at 7:05 AM, address checks, and a health monitor that watches the rest. There are 7,600+ automated tests behind it.

    Systems I work in

    Every cable is a job running at Business 01

    Vendor bills · Dropbox to QuickBooks · every 30 min

    • Dropbox to QuickBooks: vendor bills, every 30 minutes
    • SellerCloud to suppliers: drop-ship orders, every 30 minutes
    • Amazon, Walmart, eBay and Shopify to Slack: oversold check, hourly
    • Shopify to Slack: storefront check, hourly
    • SellerCloud to Slack: restock list, sales recap and demand alerts, 6:00 to 7:05 AM Mountain
    • Suppliers to SellerCloud: confirmations and tracking, on arrival
    • Slack to SellerCloud: cancellations, on request
    • Amazon and SellerCloud to Claude: the owner's questions, anytime
    What I build

    What I can build for your business

    store → inventory → books → suppliers
    Connected systems

    I connect the tools you already use.

    Your store, marketplaces, inventory system, books and suppliers work from the same orders and stock counts, so nobody on your team retypes them.

    check → write → read back → hold if unusual
    Gated automation

    I automate the repetitive work, and you keep the final say.

    Bills go into the books and supplier orders go out on their own. Each change is read back after it lands, and anything that looks off waits for a person.

    > what's unshipped right now?
    AI connectors

    You can ask your business a question.

    I set up connectors so you can ask your systems questions in plain English and get answers from your real records. Business 01 has had one for its Amazon account and order system since October 11. Any change it suggests is shown to a person first.

    hourly · 6:00 AM restock · 7:00 AM recap
    Watchdogs and recaps

    I watch for problems so you hear about them first.

    Hourly checks catch oversold products and a broken storefront. A short recap of yesterday's sales lands in Slack every morning.

    About

    I'm Brett Alvey.

    Brett Alvey
    Operations engineer, Alvey Automation

    I build and run the back office of an 8‑figure ecommerce company that sells on Amazon, Walmart, eBay and its own store. I started in March 2026, and I still run every system on this page for them each day.

    Alvey Automation is how I do the same work for a few other businesses. You deal with me from the first email on, and I keep running what I build after it goes live. Right now that is one business, and I have room for a few more.

    Running at business 01 7,600+ tests ✓
    supplier-ordering
    Drop-ship orders for eight suppliers placed by email, linked to purchase orders, confirmations read, tracking written back.
    bill-entry
    Vendor bills read and entered in QuickBooks Online behind an approval gate. Anything unusual waits for a person.
    inventory-watchdog
    Hourly check across every channel for products selling beyond their stock.
    storefront-watchdog
    Hourly check of the live store theme.
    operator-connector
    The owner's AI connector to the Amazon account and the order system. Changes are previewed and confirmed.
    sales-recap
    Yesterday's sales in Slack every morning, split by channel.
    built and run by me
    Contact

    Tell me how your business runs today.

    Email me the tools you use and the one job you'd hand off first. I reply myself.