★★★★★
The Checkout Loom team were easy to work with and brilliant at the work itself. I highly recommend them to anyone who needs dependable automation.
IveraAutomation client
Verified
AI for Amazon sales
AI for Amazon sales that reads your reports and tells you what to fix first, in plain weekly writing
AI for Amazon sales is worth paying for when it reads the reports you already have, which means Business Reports, advertising data, reviews and fee statements, finds where sessions fail to become orders, where the Buy Box is lost, where ads spend without selling and where fees erode the margin, and then ranks what to fix by money at stake, and because the seller keeps the decision, our build reads your data and writes a weekly list, and it does not change prices, listings or bids on its own.
- Fixed price from $890 with no commission on sales
- Reads your reports and never changes your account
- Findings ranked by money at stake
- Platforms supportedAmazon seller accounts in the marketplaces you sell in, using the reports and APIs Amazon provides to sellers.
- Typical sellerSellers of private label and branded products with a few to a few hundred products and an advertising budget.
- Data readBusiness Reports, advertising reports, returns, reviews, inventory and fee data, with only the fields each check needs.
- Access levelRead only by default, so nothing in your account is changed unless you ask for a specific action.
- OutputsA weekly written list of findings, a fee and margin view, a review digest and a runbook.
- Delivered inFive to twenty working days depending on the plan, with the first weekly list sent for approval early.
The costly disconnect
Why Amazon sellers drown in data and still miss the leaks
Seller Central produces many reports, and the money is lost in the gaps between them, where nobody has time to join the figures.
Conversion that slips unseen
Sessions can hold steady while the share that turns into orders falls, and the cause may be a price, a review, a stock-out or a rival. Many owners only notice this problem when a customer complains, so catching it earlier is one of the quiet benefits of automation for Amazon Sales.
Buy Box lost to others
When another offer takes the Buy Box, sales on the listing can drop sharply without any change on your side. Left alone, this problem repeats with every order, which is why automation for Amazon Sales is built to handle it by rule and not by memory.
Ads that spend without selling
Search terms that cost money and never convert sit in advertising reports for weeks because nobody reads them line by line. It is easy to overlook until a busy week exposes it, and by then the cost to Amazon Sales is already counted in refunds, hours or lost sales in the automation work.
Fees that eat the margin
Referral, fulfilment, storage and advertising charges stack up, and a product that looks profitable in sales can lose money after fees. The fix is not more effort but a better rule, and that is exactly what the automation build for Amazon Sales puts in place.
Reviews that explain returns
Complaints repeat in reviews and returns reasons long before they appear in a rating, but reading thousands of comments by hand is slow. Many owners only notice this problem when a customer complains, so catching it earlier is one of the quiet benefits of automation for Amazon Sales.
Automation that breaks rules
Amazon has strict rules on review requests, buyer messages and incentives, so a careless tool can put the account at risk. Left alone, this problem repeats with every order, which is why automation for Amazon Sales is built to handle it by rule and not by memory.
- 8 to 15%is the referral fee range sources commonly quote for Amazon categories, before fulfilment, storage and advertising.
- 6separate reports usually have to be joined to explain one week of sales properly.
- 0changes are made to your account by a read-only build, so the decisions stay with you.
Sources: fee summaries from Webgility and Synder, and third-party reports on Amazon’s Seller Assistant; fee rates change by category and date, so we confirm yours at the start.
What changes in your Amazon week once the reports are read, joined and ranked for you
You open one written list on Monday and spend your time on the three things that matter most.
How an Amazon week runs today
- Reports are opened one by one when time allows.
- Buy Box losses are noticed after sales fall.
- Wasted ad terms are found by accident.
- Fees are reviewed once a quarter.
- Reviews are skimmed for the latest few.
How it runs once the build is in place
- Reports are pulled and joined each week without a click.
- Buy Box share is tracked daily with alerts on sharp drops.
- Terms that spend and never sell are listed with their cost.
- Fees are netted against sales on every product every week.
- Reviews and returns reasons are grouped into themes with counts.
What your Monday list shows
- Leaks found in days, not quarters.
- Ad spend aimed at what sells.
- A margin you can trust.
- Product problems spotted early.
- Time returned to growth.
What the build reads and writes
- Pulling Business Reports, advertising and fee data each week.
- Joining the figures per product.
- Ranking findings by money at stake.
- Grouping reviews and return reasons into themes.
- Alerting on sharp falls in Buy Box share or stock.
What stays your decision
- Changing prices, bids and listings.
- Deciding what to do about a competitor.
- Replying to customers under Amazon’s rules.
- Approving any action beyond reading.
- Setting margin targets for each product.
Which Amazon sellers gain most from AI reading their data
If you sell more than a handful of products or spend on advertising every month, the weekly list pays for itself quickly.
Sellers with many products
The more products you sell, the more leaks hide in the long tail of the reports. This is the kind of situation where a fixed-price build is easier to justify than a monthly subscription for automation for Amazon Sales.
Sellers who advertise
Ad reports are long and repetitive, and a ranked list of waste and winners saves hours each week. We look at this situation in the audit and give Amazon Sales an honest view of whether the build is worth doing now or later in the automation work.
Brands worried about account health
A weekly view of returns, reviews and policy notices helps catch trouble before it escalates. If this describes your business, the automation work for Amazon Sales is likely to pay back quickly, and we will tell you plainly if it will not.
Agencies and operators
A standard weekly list across several accounts keeps reviews consistent and quick. Owners in this position often say the biggest change is the time returned each week, and automation is built to deliver that first for Amazon Sales.
Sellers with thin margins
Fees netted per product show which items earn money and which only look busy. This is the kind of situation where a fixed-price build is easier to justify than a monthly subscription for automation for Amazon Sales.
Sellers in several marketplaces
Each marketplace has its own reports and fees, joined into one comparable view. We look at this situation in the audit and give Amazon Sales an honest view of whether the build is worth doing now or later in the automation work.
The steps through which Amazon data becomes a ranked weekly list
The same short path runs every week, and each step leaves a record you can check.
reports_pulledReports are pulled
Business Reports, advertising reports, returns and fee data are fetched through the seller APIs or scheduled exports. A short summary of how often this event occurs appears in the weekly report, giving Amazon Sales a clear view of how busy this part of the automation work is.
figures_joinedFigures are joined per product
Sessions, orders, ad spend, fees and returns are brought together for each product. Where the event depends on outside data, the data is checked for freshness first, because a stale figure is worse than no figure for automation for Amazon Sales.
changes_foundChanges are found
Week-on-week movements in conversion, Buy Box share, ad efficiency and fees are measured against your own norms. Each moment like this has its own rule, so automation for Amazon Sales behaves the same way every time and never has to guess what to do next.
causes_rankedCauses are ranked
Likely causes are listed with the money at stake, and each cites the report it came from. The event is logged with the rule that handled it, which lets you check later exactly what automation did for Amazon Sales and why it did it.
reviews_groupedReviews are grouped
New reviews and return reasons are grouped into themes with counts and example wording. Because this trigger is handled separately from the others, a problem with it never delays the rest of the automation work for Amazon Sales.
list_sentThe list is sent
A written summary reaches you on Monday morning, with the three biggest items first. You decide how much of this runs without approval, and for Amazon Sales we usually begin with a review step until the first results look right in the automation work.
One Amazon week followed from raw reports to three decisions
This shows how a seller of kitchen goods goes from six exports to a short list of actions.
- 01
Reports arrive
On Sunday night the Business Report, two advertising reports, the returns report and the fee data are pulled for forty products. The same step is repeated for every item in the batch, so the tenth record receives the same care as the first when automation runs for Amazon Sales.
- 02
A product dips
A mixing bowl set shows sessions flat but the unit session rate down from eleven percent to eight, and the Buy Box held only 61 percent of the week. Anything unusual at this point is flagged in plain words, which saves you from reading logs to understand what the automation work found for Amazon Sales.
- 03
The cause is traced
The data shows a rival offer at a lower price on four days, and a rise in the price of the set after a promotion ended. At the end of this stage you can pause, adjust a rule or carry on, so automation for Amazon Sales always moves at the pace that suits you.
- 04
Ad waste is listed
Fourteen percent of ad spend went to search terms with no orders, the largest three costing $410 between them. Every step like this is recorded, so the automation work for Amazon Sales can be traced from the first input to the final result without any gaps.
- 05
Reviews are grouped
Nine of twelve new reviews mention the lid fitting loosely, and returns for the set have doubled. If the step cannot finish, the record says why and waits for you, so automation for Amazon Sales never moves on with a half-completed task.
- 06
The Monday list is sent
The seller receives three actions ranked by money, which are to review the price, pause three terms and check the lid supplier. You can see the outcome of this step before the next one starts, which keeps the automation build for Amazon Sales under your control throughout.
Pricing
Price your AI for Amazon sales build
Choose a plan, tell us how many products and marketplaces you have and how deep you want the advertising review to go, add any extras, and the total and delivery date update as you go.
What AI for Amazon sales costs and what raises the price
The build is a single payment, and the running cost is model usage and a small amount of hosting.
Reports included
Each additional report adds a data source and tests. We explain this factor in the quote in plain words, because Amazon Sales should understand what drives the price before agreeing to anything in the automation work.
Products and variations
Large catalogues with many variations need heavier joining. Changes to this factor after the quote are handled as a written change, with its own price, and never as a hidden charge on automation for Amazon Sales.
Marketplaces
Each marketplace adds reports, fees and a currency. A smaller first build can leave this factor for later, and Amazon Sales can add it at a priced step once the first results are in in the automation work.
Review volume
Thousands of reviews need more grouping and checking. The tools around automation bill separately, and we estimate their monthly cost for this factor so your running cost is known as well as the build for Amazon Sales.
Advertising depth
Campaign-level and search-term analysis add modelling, and owners who run automation for Amazon Sales often find this factor is the one that most changes the quote, which is why we ask about it first.
Accounts
Each additional seller account has its own connection and baseline. We check this factor against your real records during the audit, so the number in the quote comes from your data and not from a guess in the automation build for Amazon Sales.
Model usage and hosting are billed to you directly by their providers, and the written scope estimates both.
Next step
Ready to price AI for Amazon Sales?
AI for Amazon sales is most useful when it reads the reports Amazon already gives you, such as Business Reports, advertising data and reviews, and turns them into a weekly written list of what to fix, so an Amazon seller spends time on decisions and not on exports.
- Fixed price from $890 and no share of your sales
- Read only, you make every decision
- Findings ranked by money at stake
Three more Amazon jobs the same reading can carry
Once the data is joined, further questions answer themselves.
Product launch review
The first eight weeks of a new product are compared with your best launches. The job follows the same approval rules as everything else, so nothing reaches a customer of Amazon Sales without passing the checks you already trust in the automation work.
Inventory against sales speed
Stock levels are set against the rate of sale and the lead time, so reorders are not late or excessive. If the job does not pay back, it can be switched off without affecting the rest of the automation build, and nothing needs to be unpicked for Amazon Sales.
Competitor price watch
Offers on your listings are tracked, and price moves are matched to dips in your Buy Box share. The wording and the limits for this job come from the same rule table as the main automation work, so one change updates both for Amazon Sales.
Where each Amazon figure comes from and where it stops
Each figure has a named source and a stated limit, and the weekly list says when a number is estimated.
| Store object | Fields we use | Direction | Source of truth |
|---|---|---|---|
| Sales and sessions | Orders, units, sessions, unit session rate | Exact | Business Reports |
| Advertising | Spend, clicks, orders, search terms | Exact | Amazon Ads reports |
| Fees | Referral, fulfilment, storage, other charges | Exact where reported | Settlement and fee reports |
| Returns and reviews | Reasons, ratings, comment text | Exact | Returns reports and public reviews |
| Buy Box share | Share of sessions with the Buy Box | Exact for your listings | Business Reports by ASIN |
| Weekly list | Findings, causes, amounts at stake | Calculated from the above | Your delivered report |
Amazon changes report names and fields from time to time, so we confirm each at the start and mark any figure that a report does not supply.
Edge cases in Amazon reporting that we test before we go live
Amazon data has quirks that distort a naive reading, so we test those on your own history first.
Variations and parent listings
Sessions reported on a parent are split sensibly across child products so conversion is read correctly. We list the cases that matter most for automation in your handover guide, so anyone on your team can understand how Amazon Sales deals with them.
Promotions and coupons
Weeks with lightning deals or coupons are marked so a spike is not read as a trend. A rule for this case can be tightened or relaxed in minutes in the rule table, without waiting for a rebuild or a new quote in the automation build for Amazon Sales.
Currency and marketplace differences
Figures from different marketplaces are shown in their own currency and converted only where you ask. Handling the case early protects the margin and the reputation of Amazon Sales, which is worth more than the hours it takes to write the rule in the automation work.
Delayed attribution
Advertising sales attributed after the week closes are added back, so last week’s ad efficiency is restated. We test this case before launch on your own records, so automation for Amazon Sales has met it before it meets a real customer on a busy day.
Bundles and multipacks
Units are normalised so a multipack does not make conversion look better than it is. When the case appears, the workflow follows a written rule and records the choice it made, so you can review it afterwards if you wish in the automation build for Amazon Sales.
Stock-outs
Days without stock are removed from conversion so a stock-out is not blamed on the listing. If a rule cannot settle the case safely, it goes to you with the record attached, and automation for Amazon Sales waits instead of guessing.
Reading reports yourself, using a seller tool and having an AI for Amazon sales build compared
Reading yourself is exact and slow, a seller tool is quick and general, and a built weekly list follows your products, your fees and your rules.
| Reading yourself | Seller tool | Checkout Loom build | |
|---|---|---|---|
| Joins reports per product | – | ✓ | ✓ |
| Nets fees against sales | Partly | Partly | ✓ |
| Explains causes in plain writing | – | Partly | ✓ |
| Never changes your account | ✓ | Partly | ✓ |
| No percentage of sales taken | ✓ | Partly | ✓ |
| Cost pattern | Your hours | Monthly fee | A fixed fee from $890 |
Amazon is also adding its own assistants to Seller Central, and our weekly list works alongside them and not in place of them.
What is behind the weekly list and what it costs to run
The build uses Amazon’s own seller reports and a language model for the explanations, so the running cost is mostly model usage.
Selling Partner API and report exports
Business Reports, orders, inventory and fee data pulled with read-only permissions. Everything this layer does for automation is logged, so you can see what ran, when it ran and what it cost on any given week for Amazon Sales.
Amazon Ads reporting
Campaign and search term reports pulled for the weekly join. We test the layer on your own data before launch, so automation for Amazon Sales is proven on real records and not on tidy examples.
A data store
A small database keeping weekly history so every comparison has a baseline. If the layer fails or changes its terms, the handover guide explains how to swap it, so Amazon Sales is never stranded by one supplier in the automation work.
A ranking model
Rules that measure change against your own norms and rank findings by money at stake. Its role is written in plain language in the handover guide, which means a new team member at Amazon Sales can understand it in a few minutes in the automation work.
A language model
Used to write the explanations and group reviews into themes, with your own key and only the fields it needs. The monthly price of this layer is written next to our fixed fee before you commit, so the true cost of running automation for Amazon Sales is clear from day one.
A delivery channel
An email or document each Monday, with the supporting tables attached. You can replace this layer later with another tool, because the rules live in a table you own and are not locked inside any one product in the automation build for Amazon Sales.
How we keep the weekly list accurate and honest
A confident wrong explanation costs more than none, so every finding cites its data and states its confidence.
Every finding cites its report
Each item names the report and the rows behind it, so you can check it in a minute. When something goes wrong in automation for Amazon Sales, the failure is named, retried within safe limits and listed for you, instead of vanishing into a log nobody reads.
Baselines from your own history
Changes are measured against your own norms and not against generic benchmarks. This safeguard runs on every batch and not only on a schedule, so a problem in automation is caught before it can spread to the next record for Amazon Sales.
Back-tested on past weeks
The ranking is run on past weeks and compared with what you now know happened. Each alert names the rule, the record and the next step, which means you can fix the cause from the message alone without opening any tool in the automation build for Amazon Sales.
Alerts on sharp moves
A fast fall in Buy Box share or stock raises an email without waiting for Monday. We compare the results of automation with your own records on a regular basis, so a small drift for Amazon Sales is repaired before it becomes a large one.
Dated and versioned
Each list is dated, and the rules that produced it are versioned. If a check fails, nothing is sent or changed for that record, and it waits in a short list for you, because a delay costs less than a wrong action in the automation build for Amazon Sales.
Questions answered in writing
If a finding looks wrong, the owner answers in writing and shows the rows behind it. The safeguard is tested during the trial batch by feeding it deliberately awkward records, so Amazon Sales sees how it behaves before real customers are involved in the automation work.
Account access, rules and data in an Amazon build
Your seller account is your business, so access is read only, narrow and revocable.
Read-only permissions
We request only the roles the reports need and never ask for permission to change listings or prices unless you add an action. The arrangement is reviewed at the end of the month of corrections, and any access that is no longer needed is removed in writing in the automation build for Amazon Sales.
Amazon’s rules respected
We never build review manipulation, incentivised reviews or buyer messages that break Amazon’s policies. Customer details are never used to train outside models, and drafts for Amazon Sales are built only from the facts and records you supply in the automation work.
Your authorisation
You authorise the app in your own Seller Central and can revoke it there at any time. We explain in plain words what each permission allows, so the person approving it for Amazon Sales knows exactly what they are agreeing to in the automation work.
Customer data minimised
The build reads aggregate figures and review text, not buyers’ personal details. At the end of the engagement you receive a list of every connection that was made, so nothing stays open by accident in the automation build for Amazon Sales.
Not legal advice
We follow Amazon’s published seller policies, which change, and recommend you read them for any new tactic. For automation on Amazon Sales, access is limited to what the job needs and can be withdrawn in a minute, so ending the work leaves nothing behind.
Deletion on request
After handover you can ask us to erase the stored history we hold for you. Nothing in this arrangement requires you to share a password, because access is granted from your own account in a form you can revoke in the automation build for Amazon Sales.
What you receive with your AI for Amazon sales build
You finish with a weekly list, a margin view and the documents to run them without us.
- A written review of the reports you have, the ones you use and the gaps between them.
- A weekly list of findings ranked by money at stake, each citing its report.
- A fee and margin view per product, netting referral, fulfilment, storage and advertising.
- An advertising waste list showing terms that spend without selling.
- A review and returns digest grouped by theme with counts.
- Alerts for sharp falls in Buy Box share or stock.
- A baseline built from your own history for fair comparisons.
- A runbook for every report, including how to switch it off.
- Written answers from the owner to any question about a finding.
Verified client reviews and the controls behind our Amazon builds
Below are clients’ own words, unedited, and then the three controls that every Amazon build we deliver carries.
- 0changes are made to your account by the read-only build.
- 100%of findings cite the report and rows behind them.
- 1written list each Monday replaces six separate exports.
Controls follow Amazon’s published seller documentation and are not a guarantee of sales or of account standing.
★★★★★
Everything was configured exactly as discussed, and the team made sure the automation was stable before delivering it. It has been a huge time-saver for our whole team, and it runs without any manual work.
BellamyUnited States
Verified
★★★★★
This was excellent automation work, and it is clear that the team has strong experience with AI and automation. I highly recommend the Checkout Loom team to other businesses.
FinnUnited States
Verified
★★★★★
I am genuinely impressed with the work the Checkout Loom team did on my AI and automation project. They are extremely professional, skilled, friendly and easy to work with, and I am delighted with the final result.
DavidUnited States
Verified
★★★★★
The Checkout Loom team built an automation that simplified my workflow and worked perfectly from day one. Communication was excellent, delivery was fast, and I would happily recommend the service.
RebeccaUnited States
Verified
★★★★★
They set up my automation remarkably fast and executed everything perfectly. Communication and service were top tier, so I could not be happier with the results and I highly recommend the Checkout Loom team.
AbbieGermany
Verified
★★★★★
The automation was set up in a clean and practical way by the Checkout Loom team. It saved me a lot of manual work and made the whole process much easier.
JanoUnited Kingdom
Verified
★★★★★
I highly recommend ordering from the Checkout Loom team. I had slow responses and poor communication with other providers, but this team was great and I am very happy with their service.
HarmetUnited States
Verified
★★★★★
I am a returning customer because my first AI automation workflow worked so well. Once again everything was built exactly as requested, and the whole process was reliable from start to finish.
WilliamUnited States
Verified
How the Amazon build runs from first export to live weekly list
We prove the list on your past weeks before the first live Monday.
- 01
Review your reports
We list the reports you use and the ones you do not, and agree the first questions to answer. The step has a clear finish line, which means you always know whether the automation work for Amazon Sales is on time or running behind.
- 02
Connect with read access
You authorise a read-only connection, and we pull a history of weeks. Questions that arise here are answered in writing, so there is a record of every decision made about automation for Amazon Sales.
- 03
Build the join and ranking
We join the figures per product and rank findings by money at stake. We keep each step small enough to check, because large steps hide mistakes and make the automation build harder to correct for Amazon Sales.
- 04
Test on past weeks
We run the list on past weeks and compare it with what you remember. At the end of this step you approve or ask for changes, and the next stage of automation starts only after your reply for Amazon Sales.
- 05
Go live on Mondays
The first live list reaches you with the supporting tables, and we adjust the wording to suit you. The time this step takes depends on how quickly your records and answers arrive, and we tell Amazon Sales early what we need to keep moving in the automation work.
- 06
Hand over the build
The runbooks and the connection details come to you in writing, with written answers to later questions. We use plain language in every document from this step onward, so anyone at Amazon Sales can read the plan and understand it in the automation work.
Estimate the margin lost to ad waste and unnoticed leaks
Enter your monthly Amazon sales, advertising spend and the share you suspect is wasted, and the estimate shows what the weekly list could recover.
Sales lost to leaks each month–
Ad spend wasted each month–
Possible monthly recovery–
The recovery assumes you fix half the waste and half the leaks, which is an assumption and not a promise.
AI for Amazon sales questions, answered in full
These are the questions Amazon sellers ask about reports, advertising, rules and cost before they order a build.
What is AI for Amazon sales?
AI for Amazon sales is the use of AI to read the reports Amazon already gives sellers, join them per product, find where conversion, Buy Box share, advertising and fees are leaking money and explain it in plain weekly writing.
How to use AI for Amazon sales without risking my account?
The safest way to use AI for Amazon sales is to start read only, let it analyse reports and reviews, keep every price, bid and listing change in your own hands and avoid any tool that sends review requests or messages in ways Amazon’s policies forbid.
What do AI Amazon sales tools actually do?
AI Amazon sales tools range from listing writers to repricers to analysts, and ours is an analyst, so it reads Business Reports, advertising data, returns and reviews and writes a ranked list, and it does not act on the account.
Does Amazon have its own AI for sellers?
Third-party reports describe Amazon adding an AI Seller Assistant to Seller Central and a plugin that lets sellers query their data through other assistants, so we confirm what your account offers at the start and build around it.
Can AI write my listings for me?
It can draft titles and bullets, and Amazon’s image and content rules still apply, so our weekly list highlights which listings underperform and leaves the wording decisions to you or to a separate listing service.
Will it change my prices or bids?
No, the standard build is read only, and any action such as a price change would be an extra that you approve in writing with limits and a log.
How does it find wasted advertising?
It reads the search term reports, finds terms that spent money and produced no orders over a period you choose and lists them with their cost so you can decide whether to pause them.
When will the first list reach me, and what do you need first?
You will have the first weekly list between five and twenty working days after you order, depending on the plan and the speed you choose. To begin we need a read-only authorisation in Seller Central and an export of your last few weeks of reports.
Are there costs beyond the build?
Only the model usage and any hosting, both billed to you directly by their providers.
Find the leaks in your Amazon week and fix the biggest first
Choose a plan in the pricing calculator and continue to checkout, or request a quote describing your account and the reports you read today. Our written reply comes within one working day and gives a firm price and a delivery date.
- Fixed price from $890 and no share of your sales
- Read only, you make every decision
- Findings ranked by money at stake