What Does an Ecommerce Operations Audit Cover?

What we found: a helpdesk that couldn't see the problem

Source: a published Morsegrid case study of a US automotive parts retailer. The engagement has run since June 2026, and these figures are its starting baseline.

• A 30-day baseline counted 3,067 inbound calls, and only 155 were answered live. That is 94.9% missed, as a raw count that includes redials and short hang-ups.
• In an earlier three-week count, the helpdesk held only 21 phone-tagged tickets against roughly 2,161 calls. Almost none of those calls reached it, so its own reports looked fine.
• The team resolved the tickets it did see. The failure was at intake, and the helpdesk had no way to show that.

Stock: do the counts match?

Start with the count every other number depends on. Take your 20 best-selling variants and compare three counts for each: the storefront, the warehouse or 3PL, and your ERP or ledger. Any gap you can't explain is a finding.

Linnworks, which sells inventory and order management software, surveyed 500 mid-market ecommerce retailers in December 2025. Only 37.2% of the US respondents and 33.2% of the UK respondents rated their inventory visibility across channels and warehouses as excellent. That's a vendor survey and says nothing about your store. Your own count is the only test that matters.

Check the matching keys too. The first Shopify review for one of our ecommerce clients found several variants with no SKU. A variant with no SKU is hard to match to a warehouse count, because the SKU is the usual shared key between systems. Once the counts agree, the fulfillment automation playbook covers keeping them in sync.

Support: is the queue made of real customers?

A support audit counts what is in the queue and asks who each ticket is from. A ticket can come from a customer, or from one of your own systems. A customer can also fail to become a ticket at all.

That last case is the automotive parts finding above. Almost none of the calls turned into tickets, so the helpdesk data said everything was fine. A good audit compares the helpdesk with the phone system, the order system and the inbox, not with itself.

It then sorts a month of tickets into real customer questions and everything else, and it reads the rules that close, tag or route them.

Reporting: do the numbers match your live data?

A reporting check asks one question. If you rebuild this number from the source system, do you get the same answer? Pick last month's net revenue and pull it from three places: the storefront, your finance tool and the dashboard your team reads. When they disagree, the gap is the finding.

At an online clinic we work with, the weekly leadership brief pulls calls, revenue, CRM attribution and ad spend from the source APIs. It was reconciled against the founder's own tracking spreadsheet to the dollar before anyone relied on it. The same build measured ad-attribution capture at 28%. After a fix plan went to the client's ads specialist and a re-test, capture reached 92%.

You can run the second check yourself. Count the share of last month's orders that carry a known traffic source. If you can't say, you don't yet know how much of your ad reporting to trust.

Revenue leaks: where does money go out quietly?

Leaks are the costs nobody questions: a plan upgrade that sells features you already have, churn nobody has sorted by reason, or a vendor pitch that was never tested against your account.

For a subscription brand we work with, Recharge pitched a Plus upgrade at $499 a month against the current $99 Starter plan. We tested the pitch against the live account and the documentation. Five of the eight pitched features were already on Starter, and the locked checkout upsells were gated by Shopify Plus, not Recharge. A separate one-page decision report, pulled live from Recharge, confirmed that 90% of subscription churn was voluntary. That moved the retention conversation from guesswork to a ranked list of real levers.

What an audit needs from you

A diagnosis has to read your data. It shouldn't change it. It should start read-only, and you can often start with exports instead of access. By area, that means:

• Stock: an inventory export from your storefront, and the matching count from your warehouse, 3PL or ERP.
• Support: a month of tickets from your helpdesk, and the call log from your phone system.
• Reporting: last month's revenue from your storefront, your finance tool and the dashboard your team reads.
• Revenue leaks: your app and plan bills, and a list of cancellations with reasons.

What a good audit returns

A ranked list of findings, most important first. Each one names the evidence it rests on, so you can check it yourself. The list carries no fix prices. Those come after you have seen it.

What an audit should not do before diagnosing

Pricing comes after understanding the problem. Until the findings are on the table, an audit should do none of these:

• Quote a price for a fix.
• Recommend a tool. The right tool depends on the finding.
• Build or automate anything. A fix built on the wrong diagnosis is expensive to remove.
• Ask for write access.

Check this in your own store

You can run a first pass yourself with four checks. Each check ends with a list of gaps. That list is a better brief for any provider than a general request for help.

• Stock: in your Shopify admin, go to Products, then Inventory, click Export and choose All states, the format Shopify's Help Center recommends. Find your 20 best-selling variants and compare the Available column with your warehouse's sellable count. Available means stock you can sell, so don't compare it with the warehouse's total on hand. Write down every gap and every row with no SKU.
• Support: export the last 30 days of tickets. Read 50 at random and mark each as a real customer question or something your own systems sent. Then compare your phone system's inbound call count for the same 30 days with the number of phone-tagged tickets in your helpdesk.
• Reporting: agree one definition of revenue first, such as net of refunds and taxes. Pull last month's figure from your storefront, your finance tool and your dashboard. Then count how many of last month's orders carry a known traffic source.
• Revenue leaks: list every paid app and plan. For each upgrade pitch you've had, write down every feature it promised and check each one against your current plan's documentation and your live account. Then export the last 90 days of cancellations and split them by reason.

Sources

Outside figures and instructions in this post were read at the source on October 14, 2026.

• Linnworks, The 2026 State of Commerce Operations. A survey run by Linnworks in December 2025: 500 mid-market ecommerce retailers, 250 in the US and 250 in the UK. The 37.2% and 33.2% figures are from its inventory visibility section.
• Shopify Help Center, Exporting and importing inventory with a CSV file. Source for the export steps and the definition of Available.
• Morsegrid figures come from our published case studies, with the client names left out on purpose.

Frequently asked questions

What should an ecommerce operations audit include?

Four areas. Stock: do the counts match across your store, warehouse and ledger? Support: is the queue made of real customers, and do any customers never reach it? Reporting: do your key numbers match the source systems? Revenue leaks: which plans, pitches and cancellations cost money without being questioned? Each finding should name its evidence.

Do I have to give an auditor access to my store?

Not for a first pass. Read-only access or exports are enough for every check in this post. Ask for write access only when a fix needs it, and only after you've seen a finding that justifies the fix.

How much does an ecommerce operations audit cost?

It depends on how many systems sit behind your store and how clean their data is. A price for a fix quoted before anyone has looked at your data is a guess, so we price fixes after the diagnosis. The four checks above cost nothing but your time and show you which area is worth paying someone to examine.