How Drapery Co Runs Three Retail Brands From One AIOS

Drapery Co, Wonderkin and Reborn Code are three brands in one retail portfolio, run by Fernanda. For a long time the way they kept all of it moving was simple and draining: they did it by hand, and they guessed at the numbers.

We installed an AIOS, an AI operating system, across the whole operation. Here is what changed.

“I can get the real numbers straight away, and it saves me hours of building spreadsheets by hand.”

— Fernanda, Drapery Co

Six Weeks In: about 65% of the recurring work is now automated, up from almost 0%. Fernanda has 22 to 30 hours a week back, more during the peak summer period. By her own estimate, that is at least $1,000 a week in value, and staff she would otherwise have had to hire. Annualised, that is $52,000 in additional EBITDA and an estimated $130,000 in enterprise value created. In her words: “I would have needed about three more staff to keep up, so the cost saving is incredible.”

Before: Three Brands, Six Inboxes, No Single Source Of Truth

There was almost no automation. Three brands shared one overworked core, and nothing was connected.

Stock entry alone, loading products into Shopify with labels, photos and SEO, ran 10 to 15 hours a week off-season and 15 to 30 in summer. Inbox triage across six accounts took another nine hours. Xero invoices and bills across three sets of books took eight. Checking sales across the brands meant six separate logins and about 2.5 hours a week. Marketing barely happened, because there were no hours left for it. All told, 30 to 38 hours a week went into work nobody should be doing by hand.

The deeper problem was trust in the numbers. In Fernanda’s words: “I could never be sure the numbers were right, there were lots of missing invoices, and too much depended on bookkeepers.”

The Install: One Core, Every Tool Connected

We installed their own AIOS on 12 May 2026, on the tools Drapery already used. It sits on top of their three Shopify stores, three sets of Xero books, and their Google and email accounts, with a shared brain that holds the context for all three brands in one place. No migration, no new software to learn from scratch.

From there, we built the automations for the time-consuming tasks Fernanda and her team were doing by hand. That is what took them from doing it all by hand to 65% of those manual, repetitive tasks now automated.

After: What Runs Itself Now

Six weeks after install, the system runs a large share of the daily load on its own:

• A Daily Brief every morning showing a skimmable snapshot of the business: the top three to-dos, a summary of all inboxes, the day’s calendar, and supplier order-cutoffs, before a single inbox or app is opened.
• Stock Entry was the biggest time sink, Fernanda and the team uploaded new stock to Shopify by hand. We automated the whole process: a supplier invoice becomes a drafted Shopify product, pushed straight into Shopify with the quantity, sizing, pricing and SKU, everything they used to key in by hand.
• Bills and Invoices: supplier invoices auto-forwarded to the three accounts inboxes, then drafted straight into Xero from the PDF. Account codes added, duplicate checks, due dates, the lot, each one waiting on a final sign-off from the accounts team.
• Live Push Visibility on demand: no more logging into three Shopify stores and three Xero books to find a number. Revenue, orders, stock, every metric they need, pulled into a single dashboard that refreshes on its own, hourly from 9am to 5pm and again overnight.
• Payroll Reader: hours, PAYG and super pulled across all three Xero books, so payroll figures are one question away instead of a manual dig through each set of books.
• Inbox Triage across six accounts: every email sorted the second it lands, supplier invoices, newsletters, customer support. Labelled under the right category, with a reply drafted ready for Fernanda to hit send.
• Staff Rosters: builds the monthly roster from scratch, drafts every shift, and sends it out to staff by SMS and email when Fernanda says “publish it for me.” It handled 49 shifts in June and 84 in July.
• Order-window tracking, futures orders, and a nightly full backup of the whole workspace, plus a marketing engine, social content, SEO and Google Ads, running for the first time with the hours they have saved.

One morning in the first six weeks, the brief flagged a supplier order window closing that same day across two of the brands, before Fernanda had opened anything, and stopped her from missing the order.

The Numbers

• Automated Work: from almost 0% to about 65%, in six weeks.
• Time Saved: 22 to 30 hours a week, and more through summer.
• Headcount Avoided: roughly three hires she would otherwise have needed to keep up.
• Value: at least $1,000 a week, plus the staff she did not have to hire, and that is before the revenue from the marketing campaigns she has since launched with those 30 hours a week back.
• Value Translation: $52,000 in annual EBITDA added and an estimated $130,000 in enterprise value created.

Fernanda is still finding new use cases for her AIOS. That is the point of an AIOS: it is not a tool you finish setting up, it is a system that keeps earning its place as the business grows.

Every operating figure here comes from Drapery Co’s own before-and-after, shared by Fernanda. Enterprise value is Echelon’s value translation of the annual EBITDA addition using the 2.5× multiple stated in its July 2026 capabilities summary. The automation percentage and hours returned move with the season.