★★★★★
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
Finance, risk and reporting automation
Finance, risk and reporting automation for online stores that ties every payout to the orders behind it
Finance, risk and reporting automation for online stores brings the money, the risk and the sales figures into one set of connected workflows, so each payout is matched to its orders, refunds and fees, each risky order or return reaches a person with the evidence beside it and every sales number comes from one source, and because platforms report the same sale in different ways, we define the rules with you, build them on Shopify, WooCommerce and the marketplaces you use and keep a record of every match.
- From $2,690 as one fixed payment, with no subscription from us
- Every payout matched to orders, refunds and fees
- Risky orders reviewed by a person with evidence
- Platforms supportedShopify and WooCommerce stores, with Amazon, eBay, Etsy and Walmart sales brought into the same ledger where you sell there.
- Typical businessStores with a few hundred to tens of thousands of orders a month and a finance routine that depends on spreadsheets.
- Jobs coveredPayout reconciliation, fee tracking, fraud screening, return abuse, chargeback evidence and sales reporting.
- Systems connectedYour store, payment processor, marketplace reports and accounting package such as QuickBooks Online or Xero.
- OutputsMatched payouts, exception lists, risk queues, dispute packets and a daily and monthly report.
- Delivered inEight to twenty-eight working days depending on the plan, with the first workflow live early.
The costly disconnect
Why online stores know their sales and still cannot explain their bank balance
The money, the risk and the reporting each live in a different tool, and the gaps between them are where hours, fees and losses disappear.
Payouts that do not match sales
A payout is the net of many orders, refunds, fees and adjustments, so it almost never equals a day’s sales, and finding the difference by hand is slow. Left alone, this problem repeats with every order, which is why automation for online stores is built to handle it by rule and not by memory in the finance, risk and reporting automation f build.
Marketplaces that report differently
Amazon, eBay, Etsy and Walmart each deduct fees in their own way and report them in their own files, so one ledger needs many translations. It is easy to overlook until a busy week exposes it, and by then the cost to online stores is already counted in refunds, hours or lost sales in the automation work for this finance, risk and reporting automation f work.
Fraud found after shipping
A stolen card or a returns abuser is cheap to stop before dispatch and expensive to discover in a dispute weeks later. The fix is not more effort but a better rule, and that is exactly what the automation build for online stores puts in place when finance, risk and reporting automation f is the job.
Disputes lost for lack of evidence
Chargeback deadlines are short, and a seller who cannot assemble the order, tracking and messages in time loses a case they might have won. Many owners only notice this problem when a customer complains, so catching it earlier is one of the quiet benefits of automation for online stores when finance, risk and reporting automation f is the job.
Two sales numbers in two meetings
The store, the ad platform and the accounting tool count sales differently, and the argument about which is right costs more than the difference. Left alone, this problem repeats with every order, which is why automation for online stores is built to handle it by rule and not by memory in the finance, risk and reporting automation f build.
Sales tax across channels
Marketplaces usually collect tax on their own sales while your own site does not, so the ledger has to separate the two and still show the nexus picture. It is easy to overlook until a busy week exposes it, and by then the cost to online stores is already counted in refunds, hours or lost sales in the automation work for this finance, risk and reporting automation f work.
- 3systems most stores reconcile by hand, which are the store, the payment processor and the accounting package.
- 15%is the referral fee commonly quoted for Walmart general merchandise, with Amazon and eBay ranges from roughly 8 to 15 percent.
- 6.5%is the Etsy transaction fee reported by sources, before listing fees of twenty cents and payment processing.
Sources: platform fee schedules as summarised by Webgility, Synder and SalesDuo, and Shopify’s payout guidance; fees change, so we confirm current rates at delivery.
What changes in your finance routine once payouts, risk and reports run as one programme
You review exceptions and approve flags, and the daily matching, collecting and totalling happens without you.
How the finance routine runs today
- Payouts are matched by filtering exports.
- Marketplace fees are guessed at month end.
- Risky orders are noticed after shipping.
- Dispute evidence is gathered at the deadline.
- Sales figures differ between tools.
How the same routine runs afterwards
- Each payout is matched to orders, refunds and fees on arrival.
- Fees are captured per order and per channel as they happen.
- Orders and returns are scored before dispatch and flagged to a person.
- Evidence packets are assembled when a dispute opens.
- One definition of a sale feeds every report.
What your finance view shows
- A faster month-end close.
- Fewer unexplained differences.
- Lower fraud and dispute losses.
- Reports everyone trusts.
- Hours returned to your finance lead.
What the workflows do
- Matching each payout to its orders, refunds, fees and adjustments.
- Capturing fees by order and channel.
- Scoring orders and returns for risk before dispatch.
- Assembling dispute evidence from the order record.
- Producing daily and monthly sales and margin reports.
Money decisions that stay with you
- Approving or releasing orders flagged as risky.
- Deciding whether to fight or accept a dispute.
- Posting adjustments the rules cannot explain.
- Setting margin and fee assumptions.
- Signing off the month with your accountant.
Which online stores gain most from one connected finance programme
If your month-end close takes days of exports, or your losses show up only in the bank balance, a connected programme pays back quickly.
Multichannel sellers
Selling on a store and two marketplaces means three fee structures and three payout rhythms to keep in one ledger. This is the kind of situation where a fixed-price build is easier to justify than a monthly subscription for automation for online stores when finance, risk and reporting automation f is the job.
Fast-growing stores
Order volume grows faster than the finance routine, and automation removes the point at which the books start to slip. We look at this situation in the audit and give online stores an honest view of whether the build is worth doing now or later in the automation work for this finance, risk and reporting automation f work.
Stores with fraud or abuse losses
Chargebacks and abusive returns are visible in the books but can be reduced earlier in the flow. If this describes your business, the automation work for online stores is likely to pay back quickly, and we will tell you plainly if it will not around finance, risk and reporting automation f.
Stores that share books with an accountant
A clean matched ledger shortens the accountant’s work and your bill for it. Owners in this position often say the biggest change is the time returned each week, and automation is built to deliver that first for online stores in the finance, risk and reporting automation f build.
Stores with thin margins
When margins are slim, unexplained fees and refunds matter, and daily visibility catches them sooner. This is the kind of situation where a fixed-price build is easier to justify than a monthly subscription for automation for online stores when finance, risk and reporting automation f is the job.
Stores selling across borders
Currencies, taxes and payout timing differ by country and need rules that handle each. We look at this situation in the audit and give online stores an honest view of whether the build is worth doing now or later in the automation work for this finance, risk and reporting automation f work.
The money events that move through a connected finance programme
Each event is captured as it happens and routed to the workflow that owns it, so nothing waits for month end.
order_paidAn order is paid
The sale, its tax and shipping, the payment method and the channel are recorded in the ledger and scored for risk. The event is logged with the rule that handled it, which lets you check later exactly what automation did for online stores and why it did it.
fee_chargedFees are charged
Platform, payment and shipping fees are captured against the order, with the rate that applied. Because this trigger is handled separately from the others, a problem with it never delays the rest of the automation work for online stores.
refund_issuedA refund or return is processed
The refund is linked to the original order, its reason and its risk score, and the margin is adjusted. You decide how much of this runs without approval, and for online stores we usually begin with a review step until the first results look right in the automation work.
payout_receivedA payout lands
The payout is split into the orders, refunds, fees and adjustments inside it, and any difference is flagged. Anything this trigger cannot decide safely is passed to you with the record attached, so automation for online stores never acts on a doubtful reading.
dispute_openedA dispute is opened
An evidence packet is assembled with the order, tracking, messages and policy, and the deadline is tracked. We test this moment on your own records before launch, so the automation build for online stores has met it before it meets a real customer when finance, risk and reporting automation f is the job.
report_issuedThe report is issued
Daily and monthly totals are produced from the same ledger, with exceptions listed beside them. The timing of this step is written down in the rule table, which means you can change when it happens without asking us to rebuild anything in the automation build for online stores for this finance, risk and reporting automation f work.
One month followed from the first order to a closed set of books
This shows how a store with a shop and two marketplaces closes the month without a spreadsheet marathon.
- 01
Orders flow into one ledger
Orders from the store, an Amazon account and an Etsy shop arrive with their fees, taxes and channel tags. If the step cannot finish, the record says why and waits for you, so automation for online stores never moves on with a half-completed task for this finance, risk and reporting automation f work.
- 02
Risk is scored on the way in
A high-value order shipping to a new address is held for review while the rest continue. You can see the outcome of this step before the next one starts, which keeps the automation build for online stores under your control throughout when finance, risk and reporting automation f is the job.
- 03
Payouts are matched
Each marketplace settlement and each store payout is split into its orders and fees, and one payout shows a difference of forty dollars. The step uses only the facts you supplied, so nothing in the automation result for online stores depends on guesses or on outside sources you did not approve around finance, risk and reporting automation f.
- 04
The difference is explained
The workflow finds a refund issued after the payout cut-off and lists it as timing, so no manual search is needed. Timing for this step is paced to the limits of your tools, so automation for online stores keeps running calmly even when volume is high when finance, risk and reporting automation f is the job.
- 05
A dispute is answered
A chargeback arrives, the evidence packet is assembled the same day and a person approves it before the deadline. A check at the end of the step compares the result with the input, which catches the small mistakes that otherwise surface days later in the automation build for online stores.
- 06
The month is closed
The report shows sales, refunds, fees and margin by channel with zero unmatched items, and the accountant receives it as a single file. Because the steps are separate, a change to one of them, such as a new rule for online stores, does not disturb the others in the automation flow.
Pricing
Price your finance, risk and reporting programme
Choose a plan, tell us which channels you sell on and how deep you want the risk work to go, add any extras, and the total and delivery date update as you go.
What a finance, risk and reporting programme costs and what raises the price
The build is a single payment, and the running cost is mostly the hosting and any accounting subscription you already pay.
Channels connected
Each marketplace adds a file format, a fee scheme and a payout rhythm. If this factor is small for you, it adds little to the price, and the written quote shows exactly how much it did add for online stores in the automation work when finance, risk and reporting automation f is the job.
Order volume
Very high volumes need batching and heavier storage. You can lower the cost by tidying this part first, and we say so plainly in the plan when the automation work for online stores would benefit for this finance, risk and reporting automation f work.
Currencies and countries
Each adds conversion and tax handling, and anything extra that this factor creates later is quoted before it is built, so the fixed price for automation never grows by surprise for online stores.
Risk and dispute depth
More rules and evidence types mean more build and testing. We explain this factor in the quote in plain words, because online stores should understand what drives the price before agreeing to anything in the automation work when finance, risk and reporting automation f is the job.
Reporting detail
Margin by product and cash forecasts add modelling. 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 online stores when finance, risk and reporting automation f is the job.
Accounting set-up
A messy chart of accounts needs clean-up before journals can post. A smaller first build can leave this factor for later, and online stores can add it at a priced step once the first results are in in the automation work as it applies to finance, risk and reporting automation f.
Accounting software and hosting are paid by you directly to those providers, and we estimate them in the written scope.
Next step
Ready to price Finance, Risk and Reporting Automation for Online Stores?
Finance, risk and reporting automation for online stores joins the three jobs that usually sit in separate tabs, which are knowing what you were paid, knowing which orders and returns were risky and knowing what you sold, so the books close faster, losses fall and every number agrees.
- From $2,690, one payment and no subscription
- Every payout tied to orders and fees
- Risk and disputes reviewed by a person
Three more finance jobs the same ledger can carry
Once every order, fee and payout is in one place, more questions become simple.
Margin by product and channel
Fees, shipping and returns are applied to each sale so the margin shown is the margin earned. The job follows the same approval rules as everything else, so nothing reaches a customer of online stores without passing the checks you already trust in the automation work around finance, risk and reporting automation f.
Cash forecast from payout timing
Known payout schedules and open orders produce a short cash forecast you can plan against. 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 online stores as it applies to finance, risk and reporting automation f.
Accountant hand-off pack
Each month the accountant receives matched journals, an exceptions list and the supporting files. 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 online stores for this finance, risk and reporting automation f work.
Where each number in the programme comes from and where it stops
Every figure has a named source and a stated limit, so you know what is exact and what is estimated.
| Store object | Fields we use | Direction | Source of truth |
|---|---|---|---|
| Orders and refunds | Totals, tax, shipping, reasons | Exact | Your store and marketplace APIs |
| Payouts | Net amounts, dates, transaction lists | Exact | Payment processor and settlement reports |
| Platform fees | Rates and amounts per order | Exact where reported | Marketplace fee files and schedules |
| Risk scores | Order and return signals | Estimated, reviewed by a person | Your order history and screening rules |
| Disputes | Cases, reasons and deadlines | Exact | Payment processor dispute records |
| Reports | Sales, margin, exceptions | Calculated from the above | Your delivered ledger |
Shopify describes a payout as the net of many transactions, and marketplace files differ in layout, so we map each source and state any field a platform does not report.
Edge cases in store finance that we test before we go live
Money workflows fail at the edges, so we run those cases on your own past data first.
Refunds that land in another month
A refund after month end is matched to its sale and shown as a timing item, not a loss. Cases like this are the reason the automation build for online stores includes a trial run, because a tidy example never shows them but real records do as it applies to finance, risk and reporting automation f.
Partial shipments and split payments
Orders paid in parts or shipped in pieces are tracked line by line so revenue and fees line up. Your answer to this case is added to the rule table, so the same situation is handled automatically the next time it appears for online stores in the automation work around finance, risk and reporting automation f.
Currency conversion
Foreign currency sales are converted at the rate the processor used, with the gain or loss kept separate. The weekly report counts how often this case occurs, which tells online stores whether it deserves a better rule or is simply rare in the automation work as it applies to finance, risk and reporting automation f.
Chargebacks that reverse a payout
A dispute fee and a reversed payment are linked to the original order and its evidence. Nothing about this case is hidden from you: it appears in the log with the date, the record and the rule that dealt with it in the automation build for online stores.
Marketplace reserves and holds
Funds held back by a marketplace are shown as pending, not missing. We list the cases that matter most for automation in your handover guide, so anyone on your team can understand how online stores deals with them.
Gift cards and store credit
Credit is tracked as a liability and released to revenue when it is used. 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 online stores in the finance, risk and reporting automation f build.
Spreadsheets, a bookkeeping app and a connected finance programme compared
Spreadsheets are flexible and slow, a bookkeeping connector is tidy and limited to accounting, and a connected programme covers matching, risk and reporting together.
| Spreadsheets | Connector app | Checkout Loom programme | |
|---|---|---|---|
| Matches payouts to orders | Partly | Partly | ✓ |
| Covers marketplaces and the store | Partly | Partly | ✓ |
| Scores risk before dispatch | – | – | ✓ |
| Builds dispute evidence | – | – | ✓ |
| Fixed price, no seat fees | ✓ | – | ✓ |
| Cost pattern | Your hours | Monthly fee | A fixed fee from $2,690 |
We connect to your accounting package and do not replace it, so your accountant keeps working in the tool they know.
What is behind a finance, risk and reporting programme and what it costs to run
The build uses the platforms’ own APIs and reports with a small rules service, so the running costs are modest and the logic is yours.
Store and marketplace APIs
Orders, refunds, fees and settlements pulled from Shopify or WooCommerce and from Amazon, eBay, Etsy and Walmart files. 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 online stores.
Payment processor data
Payout and transaction lists from Shopify Payments, Stripe or PayPal, split into their components. We test the layer on your own data before launch, so automation for online stores is proven on real records and not on tidy examples.
A ledger service
A database that stores every order, fee, refund and payout with the link between them. If the layer fails or changes its terms, the handover guide explains how to swap it, so online stores is never stranded by one supplier in the automation work.
Matching and risk rules
Rules written with you for matching, scoring and flagging, versioned so every change is recorded. Its role is written in plain language in the handover guide, which means a new team member at online stores can understand it in a few minutes in the automation work around finance, risk and reporting automation f.
Accounting connection
Journals pushed to QuickBooks Online, Xero or your package, with the supporting detail attached. The monthly price of this layer is written next to our fixed fee before you commit, so the true cost of running automation for online stores is clear from day one when finance, risk and reporting automation f is the job.
Reports and queues
Daily and monthly reports, an exceptions list and a review queue for flagged items. 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 online stores as it applies to finance, risk and reporting automation f.
How we keep a finance programme accurate and auditable
Finance workflows must be right every time, so each match is explainable and each change is recorded.
Matched, partial or unmatched
Every payout line has one of three states, and totals show all three so nothing hides. 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 online stores as it applies to finance, risk and reporting automation f.
Safe repeats
A repeated file or webhook cannot post a sale or a fee twice. 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 online stores in the finance, risk and reporting automation f build.
Back-tested on your history
Rules are run on your past months and compared with your own books before launch. We compare the results of automation with your own records on a regular basis, so a small drift for online stores is repaired before it becomes a large one around finance, risk and reporting automation f.
Alerts on drift
A rising unmatched balance or a new fee type raises an alert. 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 online stores when finance, risk and reporting automation f is the job.
An audit trail
Every posting, flag and approval is time-stamped with the person or rule behind it. The safeguard is tested during the trial batch by feeding it deliberately awkward records, so online stores sees how it behaves before real customers are involved in the automation work when finance, risk and reporting automation f is the job.
Questions answered in writing
If a number looks wrong, the owner answers in writing and shows the rows behind it. Everything the safeguard decides is written to the log with the reason, giving online stores a trail that is useful when someone asks what happened and why in the automation work.
Keeping financial data and access under control
A finance workflow sees money and customer details, so access is minimal and recorded.
Least-privilege access
Each connection uses read access wherever writing is not needed, and we explain every scope. 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 online stores as it applies to finance, risk and reporting automation f.
Card data stays with the processor
We never see or store card numbers, only transaction records the processor already gives you. Customer details are never used to train outside models, and drafts for online stores are built only from the facts and records you supply in the automation work as it applies to finance, risk and reporting automation f.
Your keys, your accounts
Credentials are yours, held in a secret store and revoked from your side at any time. We explain in plain words what each permission allows, so the person approving it for online stores knows exactly what they are agreeing to in the automation work as it applies to finance, risk and reporting automation f.
Customer details minimised
Reports use order numbers and amounts, and names or addresses appear only where a review needs them. 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 online stores around finance, risk and reporting automation f.
Not tax or legal advice
We apply the rules you and your accountant set and recommend professional advice on tax and compliance. For automation on online stores, 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 delete working copies of your data. 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 online stores.
What you receive with your finance, risk and reporting programme
You finish with working workflows, a ledger you can trust and the documents to run them without us.
- A written map of your money flows across the store, the processor, the marketplaces and the books.
- A ledger that stores every order, fee, refund and payout with the links between them.
- Payout matching that explains the difference on every payout.
- A risk queue for orders and returns, with the evidence beside each flag.
- Dispute evidence packets assembled when a case opens.
- Daily and monthly reports built from one definition of a sale.
- A connection to your accounting package with the supporting detail attached.
- A runbook for each workflow including how to pause it.
- Written answers from the owner to any question about a number once the programme is live.
Verified client reviews and the controls behind our finance builds
Below are clients’ own words, unedited, and then the three controls that every finance workflow we build must carry.
- 3states, matched, partial and unmatched, describe every payout line.
- 100%of postings are time-stamped with the rule or person behind them.
- 1definition of a sale feeds every report.
Controls follow platform documentation and standard reconciliation practice and are not accounting or tax advice.
★★★★★
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
★★★★★
The determination and commitment to quality from the Checkout Loom team were clear from day one. They understood my requirements perfectly and completed everything with professionalism and care, and it is rare to find a team this dependable.
LorcanColombia
Verified
★★★★★
It was an excellent experience from start to finish, and the automation works reliably with everything configured properly. It is clear that the team has strong knowledge of automation, and I will definitely be returning for future work.
EllieUnited States
Verified
★★★★★
The team carefully investigated the problem, tested different scenarios and delivered a dependable solution. A duplicate contact issue had been causing problems for quite some time, and it is finally resolved.
RichardUnited States
Verified
How the programme is built from money map to live reports
We build in stages and show results on your own past months before anything goes live.
- 01
Map the money
We trace every route a sale takes from the order to the bank and write it down with you. We keep each step small enough to check, because large steps hide mistakes and make the automation build harder to correct for online stores as it applies to finance, risk and reporting automation f.
- 02
Define the rules
We agree what counts as a sale, how fees and refunds are treated and which items need a person. At the end of this step you approve or ask for changes, and the next stage of automation starts only after your reply for online stores.
- 03
Build the ledger and matching
We connect your sources and build the matching, then run it on your past months. The time this step takes depends on how quickly your records and answers arrive, and we tell online stores early what we need to keep moving in the automation work.
- 04
Add risk and disputes
We add the risk queue and the dispute packets and test them on past cases. We use plain language in every document from this step onward, so anyone at online stores can read the plan and understand it in the automation work.
- 05
Connect reports and accounting
We build the reports and the connection to your accounting package. A short summary of the step is added to the handover guide, so the way automation was built for online stores is never lost.
- 06
Hand over and answer questions
You receive the runbooks and the keys list, and later questions get written answers. You see the result of this step in writing before the next one begins, which keeps the automation build for online stores on schedule and under your control for this finance, risk and reporting automation f work.
Estimate what a slow close and unmatched money are costing you
Enter your monthly orders, the hours your close takes and your loss rates, and the estimate shows what a connected programme could recover each month.
Cost of the close today–
Monthly losses today–
Possible monthly recovery–
The recovery assumes the close time halves and a third of the losses are caught, which is an assumption and not a promise.
Finance, risk and reporting automation questions, answered in full
These are the questions store owners and finance leads ask about matching, risk, disputes and cost before they order a programme.
What is finance, risk and reporting automation for online stores?
It is a set of connected workflows that match each payout to its orders, refunds and fees, score orders and returns for risk before dispatch, assemble dispute evidence and produce sales reports from one definition of a sale, so the books close faster and losses fall.
Why does my payout never equal my sales?
A payout is the net of many transactions, including refunds, fees, adjustments and timing, so it rarely equals a day’s sales, and the programme splits every payout into the items inside it so the difference is explained.
Does it replace my accountant or my accounting software?
No, it connects to QuickBooks Online, Xero or your own package and hands your accountant matched journals and a list of exceptions, which shortens their work and leaves the advice and sign-off with them.
Which marketplaces are supported?
We build for Amazon, eBay, Etsy and Walmart settlement and fee files alongside your own store, and we confirm the current file layout for each at the start because platforms change them.
Will it handle sales tax?
It records tax collected and separates tax the marketplaces collect themselves from tax on your own site, but sources note that rules vary by state, so we do not give tax advice and we recommend your adviser sets the rules.
How does fraud screening fit in?
Orders and returns are scored on the way in, risky ones are held for a person with the evidence beside them, and the result is tracked so you can see what it saves.
Can it help with chargebacks?
When a dispute opens, the workflow assembles the order, tracking, messages and policy into an evidence packet and tracks the deadline, and a person decides whether to submit it.
How long until it is live, and what must I send first?
You will have the first workflow between ten and twenty-eight working days after you order, depending on the plan and the speed you choose. To begin we need read access to your store, your processor and your accounting package, and one recent month of exports.
Are there running costs once the programme is built?
Only the accounting software and hosting you choose, both paid directly to those providers.
Close the month in days and know where every dollar went
Choose a plan in the pricing calculator and continue to checkout, or request a quote describing how your close works today. The owner answers in writing the next working day, and the answer names a fixed price and a delivery date.
- From $2,690, one payment and no subscription
- Every payout tied to orders and fees
- Risk and disputes reviewed by a person