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Ecommerce & Marketplace Automation

Shopify and Amazon,running like one business.

Growing brands rarely stall on demand. They stall on operations — the restock maths, the true-profit spreadsheet, the FBA claims nobody has time to file, the support inbox at 11pm. We automate that layer so your team runs the brand instead of reconciling it.

Plugs into the stack you already run

ShopifyAmazon SP-APIKlaviyoMeta & Google AdsGorgias3PL
Example daily brief
08:00 · Slack
  • Restock

    Sea Salt 200g — 11 days of cover left. Reorder 1,400 units today to land before the gap.

  • FBA claim

    34 units from SHP-8821 never checked in. Claim pack drafted and ready to file.

  • Buy Box

    Lost on 2 ASINs overnight — an unauthorised seller undercut by £1.40.

  • Ads

    Blended ROAS 3.1× on true margin. Two Meta ad sets showing creative fatigue.

  • Support

    84 tickets handled overnight, 6 escalated with full order context attached.

2 channels

Shopify and Amazon in one operating picture

Daily

restock plan and true profit, without a spreadsheet

24/7

support cover on email, chat and Amazon messages

Weeks

to your first automation running live

Sound familiar?

Every brand hits this wall at around £2M.

The systems that got you here — a good spreadsheet, a sharp ops person, and a lot of manual care — stop scaling at exactly the point the numbers get big enough to hurt.

The spreadsheet is the business

One file holds restock maths, margin, and forecasts. One person understands it. It breaks quietly, and you find out at the stockout.

You don't know what you actually made

Shopify says one number, Amazon settlements say another, ad spend sits in three dashboards. True profit by product is a month-end archaeology project.

Amazon quietly keeps your money

Units lost in transit, damaged in the warehouse, mis-measured for fees. Every seller is owed something. Almost nobody files for it.

Bestsellers go out of stock

Velocity changed three weeks ago, but the reorder point didn't. You lose the sale, the rank, and the momentum — then pay for air freight to catch up.

Support eats the team

Where is my order, can I change the address, I want a refund — the same eight questions, all day, across email, chat, and Amazon messages.

Ads are judged on the wrong number

Platform ROAS looks fine. Blended ROAS against real product margin tells a different story, and nobody has time to build that view weekly.

None of this is a people problem. It's a systems problem — and systems are fixable.

The shift

Same team. Very different week.

Nothing here is exotic. It's the ordinary operating rhythm of a brand at your size, moved off people and into systems.

How the week runs today

  • Monday morning goes on rebuilding the restock sheet from two exports.
  • Profit by product is guessed, or calculated properly once a quarter.
  • FBA discrepancies get noticed months later, if at all.
  • A lost Buy Box is discovered when sales dip.
  • Two people spend their mornings answering WISMO emails.
  • Supplier POs and ship dates live in one inbox and one memory.

How it runs once it's automated

  • The restock plan is already in Slack at 08:00, with quantities per channel.
  • True profit by product and channel lands every Monday, ad spend included.
  • Every gap is caught within days and arrives as a ready-to-file claim pack.
  • You get an alert the hour it happens, with the undercutting seller named.
  • The routine 80% is answered from live order data; your team gets the hard 20%.
  • POs go out automatically, replies are read, and delays surface before they bite.

Put a number on it

What is the manual layer costing you a year?

Three sliders. No email gate. Move them to roughly match your business and you'll get a defensible order of magnitude — the same three numbers we'd quantify properly in the audit.

£1,000,000£10,000,000
4 hrs60 hrs
£15/hr£70/hr

These are industry mid-points, not a forecast for your business. The point isn't the exact figure — it's that the number is never small, and nobody has ever measured it. That's what the audit is for.

Rough annual value on the table

£63,672

Recovered cash and reclaimed payroll capacity, per year

801 hrs
Hours handed back to the team

At 70% of the manual hours removed — the share a first build usually reaches before judgement calls start.

£22,422
Payroll value of those hours

Not a redundancy plan. It's the capacity you stop spending on reconciliation.

£37,500
Revenue recoverable from stockouts

Assumes 3% of revenue lost to fast movers going out of stock, half of it preventable with earlier signals.

£3,750
Sitting in unfiled marketplace claims

Lost and damaged FBA inventory that never gets reimbursed because nobody has time to file within the window.

What's included

Six layers of your operation, taken off people.

Most brands don't need all six. They need the two that are currently costing them the most, built properly.

Inventory & Restock Planning

Sales velocity from both channels, plus stock on hand and inbound POs, turned into a daily reorder and FBA restock plan — with a warning well before anything sells out.

Profit, Payouts & Claims

Shopify revenue, Amazon payouts, and ad spend combined into real profit by product and channel — plus a claim pack for every unit Amazon lost, damaged, or overcharged you for.

Customer Support Automation

An AI front line across email, chat, and Amazon messages: order status, WISMO, returns, and refunds answered from live order data, escalated to a human the moment it matters.

Ads & PPC Automation

Meta, Google, and Amazon Ads pulled into one blended-ROAS view, with rule-based budget moves, creative-fatigue alerts, and scale-or-kill flags on every campaign each morning.

Listing, Pricing & Account Health

Alerts on lost Buy Box, silent listing edits, unauthorised sellers, price gaps between channels, and any policy or account-health warning — each one with a drafted response attached.

Retention & Lifecycle Flows

Back-in-stock, low-stock, and replenishment emails timed to how fast each customer actually gets through the product, plus review requests that land after delivery, not before.

The build menu

Twelve automations we build for Shopify + Amazon brands

Each one is scoped, priced, and shipped on its own — pick the two or three that hurt most this quarter and add from there. Most brands start with restock planning or the combined P&L.

Every automation we build for Shopify + Amazon brands.

S1Revenue

Restock planner across both channels

Combines sales speed on Shopify and Amazon with stock on hand and incoming orders, then suggests daily reorder and FBA restock quantities — and warns you before a product runs out.

ShopifyAmazon SP-API3PLGoogle Sheets

Typically live in 3–5 weeks

S2Time

Combined P&L report

Pulls Shopify revenue, Amazon payouts, and ad spend from Meta, Google, and Amazon Ads into profit by product and by channel — delivered weekly to Slack or email.

ShopifyAmazon SP-APIAd platformsSlack

Typically live in 3–5 weeks

S3Cash

FBA shipment reconciliation

Compares what you shipped to Amazon against what Amazon logged as received, lost, damaged, or overcharged — and builds a claim pack for every gap it finds.

Amazon SP-APIGoogle Sheets

Typically live in 3–5 weeks

S4Revenue

Listing and price monitoring

Flags changes to your own Amazon listings, lost Buy Box, sellers who aren't authorised, and price gaps between Shopify and Amazon.

Amazon SP-APIShopify

Typically live in 2–3 weeks

S5Time

Supplier order and delivery-date chasing

Sends purchase orders straight from the restock plan, reads supplier replies for ship dates, updates a tracker, and flags delays before they become stockouts.

EmailGoogle SheetsInventory tool

Typically live in 3–5 weeks

S6Cash

Returns operations

Sorts return reasons from both channels, flags products with rising return rates, and puts resellable stock back into inventory automatically.

ShopifyAmazon SP-APIReturns app

Typically live in 3–5 weeks

S7Revenue

Email flows driven by stock data

Back-in-stock and low-stock emails, reorder reminders timed to how fast each product gets used up, and post-purchase review requests.

KlaviyoShopify

Typically live in 2–3 weeks

S8Time

Product data sync

One master product sheet updates both Shopify and Amazon. New products get AI-drafted listing copy that a person approves before anything goes live.

ShopifyAmazon SP-API

Typically live in 3–5 weeks

S9Time

Wholesale order intake

Orders from stockists arriving by email or PDF become draft wholesale orders in Shopify, ready for a human to check and confirm.

EmailShopify B2B

Typically live in 2–3 weeks

S10Risk

Amazon account health alerts

Account health drops, negative feedback, and policy warnings trigger an immediate alert with a drafted response ready to send.

Amazon SP-API

Typically live in 1–2 weeks

S11Time

Customer support automation

An AI agent handles WISMO, order changes, returns, and refund questions across email, chat, and Amazon messages — answering from live order data, on-brand, and handing off to a human on anything sensitive.

Gorgias / ZendeskShopifyAmazon Messaging

Typically live in 2–4 weeks

S12Revenue

Ads and PPC reporting with guardrails

Meta, Google, and Amazon Ads in one blended-ROAS view against real product margin, with creative-fatigue alerts, budget-pacing checks, and rule-based scale-or-kill recommendations each morning.

Meta AdsGoogle AdsAmazon AdsShopify

Typically live in 3–5 weeks

Under the bonnet

This is what one of them actually looks like.

Automation is an easy word to say and a hard thing to trust. So here are three of the twelve, opened up — every step, every system it touches, and the exact point where a human still has to say yes.

Money Amazon owes you, filed before the window closes

Fires when
New inventory adjustment or shipment discrepancy appears in Seller Central
Cadence
Runs daily, 06:00
What lands
A Slack digest of claimable value each morning, and a running log of what's been recovered.
What it replaces
A quarterly panic where someone exports four reports and gives up halfway.

Live in 3–5 weeks

  1. 1

    Pull the ledger

    Fetches inventory adjustments, shipment receipts and reimbursement reports from the Amazon SP-API since the last run.

  2. 2

    Reconcile shipped vs. received

    Matches every shipment line against what Amazon actually checked in, unit by unit, and flags the gaps.

  3. 3

    Filter out the noise

    Drops anything already reimbursed, already disputed, or outside the claim window. What's left is genuinely owed.

  4. 4

    Value each claim

    Prices the discrepancy at your landed cost, sorts by value, and drafts the case wording with the evidence attached.

  5. 5

    You approve the queue

    You approve

    Every draft claim lands in one Slack message with the amounts. Approve all, or drop the ones you don't want filed. Nothing is submitted to Amazon without that click.

  6. 6

    File and track

    Submits the approved cases, logs case IDs to a sheet, and chases anything still unresolved after 14 days.

The architecture

Nothing gets ripped out. It sits on top.

We don't migrate you to a platform or ask you to adopt new software. We read from the systems you already pay for, do the thinking in between, and push the result to wherever your team already looks.

Reads from

Your accounts, your API keys, read access first

Shopify
Amazon SP-API
3PL & inventory
Klaviyo
Meta & Google Ads
Helpdesk

The layer we build

Hosted wherever you want it — your cloud or ours

Orchestration

Scheduled and event-driven workflows in n8n, versioned and documented.

Reasoning

Claude handles the judgement calls — classifying, drafting, summarising.

Rules & guardrails

Your thresholds, your policies, your tone. Explicit, readable, yours to change.

Human checkpoint

Anything touching money or the brand waits for a person to approve it.

Writes to

Where your team already works — no new dashboard to remember

Slack briefs
Google Sheets
Draft POs
Helpdesk replies
Klaviyo flows
Alerts

If you already run something that works, we leave it alone. The goal is fewer moving parts, not more.

Week six onward

One Tuesday, with the systems running.

Nothing here needs a person to start it. This is the shape of a normal day once the first two or three automations are live.

  1. 02:41Automated

    A customer in Sydney asks where their order is

    Tracking is pulled, the reply is written and sent in eleven seconds. Nobody is awake. Nobody needs to be.

  2. 06:00Automated

    Overnight Amazon adjustments reconciled

    Four shipment discrepancies found, priced at £2,180, drafted as claims and queued for your approval.

  3. 07:00Automated

    Stock cover recalculated across both channels

    Two SKUs drop under the reorder threshold. Draft POs are prepared against the right supplier lead times.

  4. 08:00You

    You read one Slack message

    The brief: what needs reordering, what Amazon owes you, what ads did, where support landed. Ninety seconds, coffee in hand.

  5. 08:04You

    You approve two things and change one

    PO for the 200g goes out as drafted. You cut the second order in half because you know something the data doesn't. That's the whole job now.

  6. 11:20Automated

    Buy Box lost on your best seller

    Alert fires within minutes, not at the end of the week when someone notices the revenue dip.

  7. 14:00You

    Your ops person does actual ops

    Supplier negotiation, a new 3PL quote, the packaging change. The work you hired them for, not the reconciliation.

  8. 17:30Automated

    Back-in-stock flow fires itself

    The restocked SKU triggers Klaviyo to the waitlist automatically — the same day it lands, not three weeks later.

  9. 18:00You

    You close the laptop

    No spreadsheet to update tonight. Tomorrow's brief is already being assembled.

Blue is a decision only you can make. Everything else already happened.

How we get there

Six weeks from first call to something you actually trust.

No twelve-month transformation programme. We take one workflow, prove it on your own numbers, and only then talk about the next one.

The audit is free and useful on its own. You leave it with a quantified list of what's leaking — whether or not you build anything with us.

  1. 01Week 0 · free

    Ops audit call

    Ninety minutes with whoever actually runs the day: you, your ops lead, your Seller Central. We map where the hours and the leaks are, and we're blunt about which ones automation won't fix.

    You get:A shortlist of the leaks worth closing, sized honestly

  2. 02Week 1

    Map and prioritise

    We put every candidate automation against two axes — money it protects or makes, and effort to build — then pick the one or two that pay back fastest. You approve the order before anything starts.

    You get:A prioritised build plan with fixed scope and price

  3. 03Weeks 2–5

    Build the first one

    We connect to your real accounts through official APIs, build in the open, and show you working output every few days. You see the actual numbers it produces, not a demo on sample data.

    You get:One automation running live on your own data

  4. 04Weeks 5–6

    Prove it on your numbers

    We run it alongside your current process and compare. If the restock plan disagrees with your gut, we find out which one was right before you trust it with a purchase order.

    You get:A side-by-side that either earns your trust or gets fixed

  5. 05Ongoing

    Expand and hand over

    Next automation on the list, same rhythm. Everything runs in your accounts, documented, with the credentials in your name — so keeping us is a choice, not a dependency.

    You get:Documentation, ownership, and a system that keeps growing

Ways to start

Three ways in. All of them reversible.

Start with the audit if you're not sure, or straight into a build if you already know what hurts. Nothing here locks you into a year.

Ops Audit

Find out what's actually leaking.

Best for: Brands who know something is wrong but not what to fix first.

  • 90-minute working session with your ops team
  • Review of Shopify, Seller Central, and ad accounts
  • Every leak quantified in hours or pounds
  • A prioritised shortlist you can act on with or without us
Most start here

First Build

One automation, live, proving itself.

Best for: Brands who already know the problem and want it gone this quarter.

  • One automation from the build menu, fixed scope and price
  • Built on your live accounts, not a sandbox
  • Side-by-side validation against your current process
  • Documentation and full handover on day one
  • 30 days of tuning after go-live

Ops Partner

We run the automation layer.

Best for: Brands building the full system out over a few quarters, without hiring for it.

  • A rolling queue of builds, prioritised with you each month
  • Monitoring and fixes when Amazon changes something
  • Model, prompt, and rule tuning as the catalogue changes
  • A monthly ops review with the numbers in front of you
  • Cancel with 30 days' notice — everything stays yours

The alternatives

You have three options. Here's the honest comparison.

We're not the right answer for everyone. If your ops genuinely fit in one person's week, hire the person.

An ops hireA VA or freelancerBoringOrca
Time to useful2–3 months to hire and rampFast, but capped at their hoursFirst automation live in weeks
Scales with order volumeNo — more orders, more hoursNo — you buy more hoursYes — the work stops being manual
Works at 3am and on Boxing DayNoNoYes
Knowledge stays when people leaveWalks out the doorWalks out the doorDocumented, in your accounts
Annual cost shapeSalary, NI, pension, holidayHourly, grows with volumeFixed build, optional retainer
Judgement on the hard 20%Strong — that's what people are forVariesEscalated to your team, with context

No hostage-taking

The terms that make this a low-risk yes.

Handing your ops to an outside team is a real decision. These four things are how we make it a reversible one.

It runs in your accounts

Your Shopify, your Seller Central, your ad accounts, your API keys. We build inside your walls — nothing routes through a black box we control.

Fixed scope, fixed price

Every automation is quoted as a defined piece of work before it starts. No hourly meter, no scope creep invoice at the end of the month.

A human signs off what matters

Refunds, goodwill credits, listing changes, purchase orders — anything with money or your brand attached gets drafted by AI and approved by a person.

You can fire us cleanly

Code, workflows, credentials, and documentation are yours from day one. If you take it in-house next year, there is nothing to unpick and nothing to buy back.

Straight from us

Why we only take a few of these at a time.

Most agencies would rather sell you a retainer than a result. We'd rather build two things properly than eight things badly, so we cap how many builds run at once. It means we sometimes say no, and it means the work that does start actually ships.

We also don't think every problem needs AI. Half of what we build is boring plumbing — an API call, a rule, a scheduled job — and that's usually the half that saves the most money. If your problem is genuinely a spreadsheet formula, we'll tell you that on the audit call and you'll have lost ninety minutes.

The reason we ask for that call before quoting anything is simple: we've never seen two brands leak in the same place. Yours will have one thing costing far more than you think, and it's rarely the thing you'd have guessed.

A

Alee

Founder, BoringOrca

P.S. If you'd rather just see whether we're any good first — ask us on the call to walk through the FBA reconciliation build line by line. We'll show you the actual workflow.

Connects to what you already run

Shopify
Amazon SP-API
Klaviyo
Meta Ads
Google Ads
Amazon Ads
Gorgias
n8n
Google Sheets
Claude

Questions we get asked first

What size brand is this actually for?

We build for Shopify and Amazon brands doing roughly £2M+ a year. Below that, the manual version usually still fits in one person's week. Above it, the spreadsheet holding your restock and profit numbers together becomes the single biggest risk in the business — and that's the problem we solve.

Do we have to replace our current tools?

No. We build on top of what you already run — Shopify, Seller Central, your 3PL, Klaviyo, your helpdesk, your ad accounts, and yes, your spreadsheets. Everything connects through official APIs, and your team keeps working in the tools they already know.

How do you stop AI from telling a customer something wrong?

Support agents answer from live order, shipping, and policy data rather than guessing, and every sensitive path — refunds, goodwill credits, anything about a damaged or missing order — routes to a human with a drafted reply. We tune it against your real ticket history before it ever touches a customer, then keep measuring after launch.

Where should we start?

Usually with restock planning or the combined P&L, because those two pay for themselves fastest and everything else builds on the same data. We'll take one workflow end to end, prove it on your numbers, then expand — not a twelve-month programme.

Who owns the automations you build?

You do. The workflows, the code, the credentials, and the documentation are all yours, running in your own accounts. If you ever want to take it in-house or hand it to someone else, there's nothing to unpick.

Let's find out what's actually leaking.Ninety minutes, no pitch. You keep the findings.

Reach out

Tell us about your project.

Whether you're automating a workflow or building something new, tell us what you need. We'll tell you honestly whether and how we can help.

1

We reply within a day

A real person reads your message and responds within one business day — no automated runaround.

2

A short discovery call

We dig into your goals and constraints to see if we're a good fit. No commitment, no hard sell.

3

A clear plan & quote

You get a concrete proposal with scoped milestones and predictable pricing — not a vague estimate.

Prefer email?

alee@boringorca.com

Free ops audit

Shopify + Amazon brands at £2M+

Book the audit