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case study / e-commerce automation

running 10 stores in your sleep.

This Nottingham-based ecommerce company ran 10 eBay and Etsy stores manually. bandwidth was so maxed the founder forgot what their family looked like. VAs were expensive, and growth stalled. we built the automation. now they do less than a teenager on summer break.

10 stores managed
£20k+ monthly revenue
340+ active listings
98.4% positive feedback
£0 payroll
01 / the situation

solid products. zero bandwidth. operational ceiling.

This Nottingham-based ecommerce operator had a solid product range (wooden household items, tech accessories, and girls’ footwear, because why limit yourself to one niche?) and a warehouse in Nottingham. They already had a few eBay accounts ticking over, but they had hit an operational ceiling.

The problem was operational. Managing listings, processing orders, and chasing reviews was completely manual. Every hour spent replying to customer questions about why a package was 3 minutes late was an hour not spent sourcing new SKUs or building the private label brand they'd been planning for two years. They had two part-time VAs costing over £3,600/month, and still couldn't scale past 3 accounts without suffering a minor nervous breakdown.

They weren't short on products. They were short on sanity. They came to us with one goal: make the operation run automatically without them having to babysit it 24/7.

02 / what we did

automated scale. credibility built once, runs forever.

we do not run one-off campaigns. we build automated infrastructure. we deployed a 2-pronged strategy that established their brand's credibility and handed the operations over to custom AI workers.

01 / credibility.

Before building the automation layer, we got them visible. We placed the brand across news publications and data sources that AI models crawl. When buyers ask ChatGPT or Gemini things like 'where do I buy wooden home accessories in Nottingham that don't look like they were carved by a blind beaver,' this company surfaces.

That's not SEO. That's owning the answer. Three placements went live in the first month. Within six weeks, they were appearing in AI-generated product recommendations across multiple search surfaces. The brand had credibility before the automation even went live.

02 / AI employees.

We built a network of digital workers to run the full eBay and Etsy operation across all 10 accounts:

  • auto-listed new products across all 10 accounts within minutes of a new SKU being added (while the founder was still snoring)
  • replied to every customer message in under 5 minutes, 24/7, keeping feedback scores pristine (and VAs out of a job)
  • flagged low-stock products and sent restocking alerts to the warehouse before customers could leave angry 1-star reviews
  • monitored feedback scores and triggered review follow-up sequences automatically (with polite but firm AI persistence)
  • synced pricing across accounts when a competitor tried to undercut them in the middle of the night
  • generated weekly performance summaries across all 10 accounts so the founder could read them in bed

The two part-time VAs were let go within 30 days. The AI workers handled more volume, faster, with zero errors from human fatigue or coffee deprivation. With operations running automatically, the founder used the freed time to launch their private label brand and organize the Nottingham warehouse, all while the eBay accounts printed money in the background.

03 / the numbers

real metrics. zero fluff.

these are the actual numbers pulled from the operator's accounts comparing before and after the peace of growth deployment.

metric before after
eBay/Etsy accounts active 3 accounts 10 accounts running simultaneously
monthly revenue £6,200/month (inconsistent) £20,000+/month (stable)
payroll cost £3,600/month (2 VAs) £0 (AI workers handle it all)
average message response time 4-6 hours under 5 minutes, 24/7
positive feedback score 94.1% (declining) 98.4% (maintained automatically)
active listings 80 listings 340+ listings
restocking process manual (frequent stockouts) automated low-stock alerts to warehouse
AI search visibility none featured in ChatGPT and AI search
private label status idea in a notebook brand launched, Nottingham warehouse live
founder operational hours 50+ hours/week 0 hours/week managing eBay

"I used to start every morning drowning in eBay customer complaints and end every night manually uploading listings until my eyes bled. Now I wake up, check the daily summary my AI worker sends me while eating cereal in my pajamas, and spend my day building our private label brand. We went from 3 accounts to 10 without hiring a single human. The warehouse is running, the brand is growing, and the eBay accounts just... work. I genuinely earn while I sleep now."

Founder, Nottingham-based E-Commerce Company
04 / the transformation

what running a real growth system looks like.

this is what changes when you stop doing it yourself.

doing it yourself

  • hire VAs: manage them, train them, and apologize when they disappear on a Monday.
  • manually copy-paste product listings until your wrists get carpal tunnel.
  • reply to customer messages hours later, after they've already bought from a competitor.
  • realize you're out of stock only when a customer complains about an unfulfilled order.
  • spend your Friday nights updating inventory spreadsheets instead of having a social life.
  • completely invisible to AI search: ChatGPT doesn't know you exist.
  • your private label brand idea stays locked in a dusty notebook forever.

with peace of growth

  • AI workers run 24/7, never call in sick, and never ask for a raise.
  • list products across 10 stores instantly while drinking your morning coffee.
  • every query answered in under 5 minutes (even if it's sent at 3 AM).
  • restocking alerts sent before you run out, saving your feedback rating.
  • operations run automatically while you focus on launching new brands.
  • featured prominently in ChatGPT and AI search recommendations.
  • private label brand launched and Nottingham warehouse active.
05 / why it works

remove the manual ceiling.

Most ecommerce operators hit a ceiling not because their products are bad, but because their operations don't scale. Every new account, new product, or new channel adds more manual work. The ceiling is their own bandwidth.

We removed the ceiling. AI workers handle the repetitive layer: listing, messaging, monitoring, and reporting. The credibility layer makes the brand findable in the places buyers are now searching, which means AI surfaces, not just Google.

The result is a business that generates revenue whether the founder is working or not. That's not passive income. That's infrastructure. Built once, runs forever.

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