Querri for eCommerce brands
Every channel.One set of numbers.
Shopify, Amazon, retail, the ad platforms, your 3PL and the books come together in Querri, with net sales and margin defined once. See what each channel earns after fees, ads, trade and returns, and where cash sits in stock. The founder, finance, ecommerce and CX decide from the same numbers.
Querri only reads the data you connect and never changes an order, a listing or a record. Your data, prompts and results never train a model. SOC 2 Type II, HIPAA and ISO 27001:2022 certified.
By role
Every team at the brand, working from the same picture
Finance, ecommerce and CX each ask their own questions. Querri answers all of them from the same orders, spend, shipments and books, on one definition of net sales and margin, so every team agrees with the board update.
Fulfillment and customer experience
See which late orders turn into tickets, by warehouse and carrier, on the same orders finance and ecommerce count.
- Which orders are turning into tickets this week: warehouse, carrier or product?
- Which carriers and lanes deliver late, and what does it cost in support time?
- Which escalated orders have no owner, and how much revenue is waiting?
Ecommerce and growth
See what each channel and campaign earns after fees and ad spend, on the same net sales the board sees.
- What did each channel and campaign really earn, and which number do we report?
- Which SKUs earn after fees, and which sell well but keep little?
- Where do repeat customers come from, and what does email add on top of paid?
Finance
Close on store and Amazon payouts tied to the books, with one margin by channel for the leadership pack.
- What did the store, Amazon and retail each earn, tied to the books?
- Do Shopify and Amazon payouts match what we booked?
- Which retailer deductions tie to a promo we agreed, and which are leakage?
Watch
Querri for eCommerce brands, in one minute
What each channel really earns, and the same picture from the finance, ecommerce and CX seats, then what else the same data answers.
See your whole brand in one picture, on your own numbers.
Bring your store, Amazon and the books to a 30-minute call. An agent sets up the connectors with you, and there's no warehouse, BI build or data hire first.
How it works
Store, Amazon, ads, the 3PL and the books, in one picture
Querri connects to the systems your brand already runs and copies orders, spend, shipments and the books into one Library on a schedule you choose. Net sales, margin and stock on hand are defined once, and every person and AI agent works from them. When a channel, SKU, warehouse or retailer moves, a monitor says which one. Files count too: Querri cleans them the same way every month.
The systems you already run
Anything that only exports files counts too: retailer remittances, 3PL reports and the promo calendar. Upload Excel or CSV, or point Querri at a Google Drive folder.
Cleans, joins and checks every number before you see it
Answers where you work
- ChatAsk in plain language and get the table, the chart and how it was worked out.
- Dashboards and sitesDashboards and shareable sites that refresh on a schedule you set.
- PresentationsReports and slides built from the same numbers, ready for the board or a retail partner.
- ExcelAnswers as a workbook when the next step happens in a spreadsheet.
- Your AI assistantYour governed numbers inside the assistant you already use, through MCP.
For your CTO and CISO
What your security review will ask
Your customer list, your margins and your retail terms are the numbers you least want loose. Here is what that means in practice.
Certified
SOC 2 Type II, HIPAA and ISO 27001:2022 certified.
Where your data lives
Every customer organization gets its own database and its own storage. AES-256 encryption at rest, TLS in transit, keys managed in AWS KMS.
Never used for training
Models run on Amazon Bedrock and Microsoft Azure in the United States. Your data, prompts and results never train any model, ours or anyone else's.
Read-only connectors
Querri reads from the systems you connect and never changes an order, a listing or a record. Connected AI assistants are read-only until an admin turns on writing.
Access control
Role-based access with SSO and MFA. Row-level access rules apply before the AI sees anything, so each person only gets answers from data they're allowed to see.
Connectors and files
125+ connectors, direct database connections, and Excel or CSV uploads for the systems that only export files.
Comparison guide
How Querri compares for a multichannel brand
What brands use today to put one picture of the business in front of the founder and the board, side by side.
| Querri | Spreadsheets and a deck, by hand | Each platform's own reports | A warehouse, BI and a data hire | Each team asking an AI assistant | |
|---|---|---|---|---|---|
| A new question from the board | Ask in plain language, across every channel | Someone rebuilds the deck | The reports each platform ships with | Joins the data team's queue | Yes, for the data each person gives it |
| Store, Amazon, retail, ads and the books together | Joined on a schedule you set | Pasted together each month | Each stops at its own platform's edge | Once each source is piped in and modeled | What each person uploads or wires up |
| Same net sales and margin in every team's numbers | Defined once; every answer, dashboard and AI agent uses it | Depends on who built the sheet | Each platform counts its own sale | Yes, while the model is maintained | Each person's own definition |
| Needs a warehouse or data team | No | No, but it takes someone's week | No | Yes, to build and keep the model | No for uploads; an internal build needs an owner |
Based on each approach's standard setup and the ecommerce research behind this page. The full comparison has sources.
Pricing guide and ROI
What the numbers cost you now, and what you get back
Move the sliders to match your brand. The estimate adds up four things: reports that re-run themselves, channels you stop tying together by hand, data stack you don't have to build, and margin kept by catching leaks sooner. Hover or tap the i beside each line to see its math. What Querri costs is on the pricing page.
- Reports that run themselves $58,752
4 people × 6 hours a week × 48 weeks × 60% automated × $85 an hour = $58,752. The weekly channel review, the month-end pack and the board update re-run on new orders on a schedule, so most of the rebuild time goes away (691 hours a year).
- Channels tied together for you $7,834
8 systems × 0.3 hours a week each × 48 weeks × 80% × $85 an hour = $7,834. Store orders, Amazon settlements, ad spend, the 3PL and the books are joined once on shared definitions, instead of matched by hand every week (92 hours a year).
- Data stack you don't build $136,500
A lean version of the stack brands build to join these systems: a warehouse contract from $50,000, a BI tool from $8,000 and half a data engineer at $125,000 base ($120,500), plus ingestion at $2,000 × 8 systems = $136,500 a year. Querri connects to each system and does each part itself, with no stack to build or run.
- Margin kept by catching leaks sooner $80,000
0.2% of $40M net sales = $80,000. If monitors catch a rising Amazon fee, a missing payout, an unagreed deduction or a stock-out soon enough to keep a fifth of a percent of net sales a year.
Estimates, not a quote. Each line's math is behind its i. The time lines assume 48 working weeks; the stack line uses the low end of each part's typical mid-market cost, and the margin line is a conservative placeholder for your own figure.
Buying guide
Choosing analytics for a multichannel brand
For founders and CEOs deciding how to get one picture of the brand: by hand, each platform's reports, a data stack, each team's AI assistant, or Querri.
It's on its way.
We'll email the guide to you as soon as it's published.
One email with the guide. No sales sequence unless you ask for one.
eCommerce buying guide
One picture of a multichannel brand: what the board asks and where each number lives
- Where net sales, margin, payouts and stock each live, and why the numbers drift apart
- How the common options compare, and when you need a data warehouse
- What your CTO will ask any vendor about customer and order data
Questions
Ecommerce analytics for multichannel brands: common questions
How do multichannel brands get one picture of the business across Shopify, Amazon, retail and the books?
Querri connects Shopify, Amazon, your ad platforms, the 3PL and NetSuite or QuickBooks into one Library, and defines net sales and margin once. The board update, the Monday meeting, each team's dashboards and answers in AI assistants all read those definitions, so the numbers agree. Click any figure to see the tables behind it. How Querri gets to an answer
Can Querri show what each channel really earns after fees, ads, trade and returns?
Yes. Querri runs each channel from gross sales through returns, product cost, marketplace fees, retailer deductions, fulfillment and ad spend to contribution, for the store, Amazon and wholesale side by side. A channel with a high gross margin shows what it really keeps once Amazon's fees and ads land. See every connector
How can a brand see where cash is tied up in stock across Shopify, Amazon and the 3PL?
Connect Shopify and Amazon and add your 3PL or ERP stock. Querri puts on-hand units, days of cover and margin side by side by SKU and channel, so you see slow stock tying up cash and best sellers running out on one channel while units sit in another. Nightly insights and Monitors
Why would a brand use Querri instead of letting each team ask an AI assistant?
Because each person's assistant works out net sales its own way, so ecommerce and finance can bring two margins to the same meeting. Querri keeps the brand's definitions in one place, so every answer uses the same net sales and margin, whoever asks, and every number shows its query. You can use both: Querri works inside your AI assistant through MCP, read-only until an admin turns on writing. Querri inside your AI assistant
What does Querri add if we already use Shopify analytics and Seller Central reports?
Keep them. Each reports well inside its own platform, and each counts its own sale. Querri joins the store, Amazon, the ad platforms, the 3PL and the books under one set of definitions, so the numbers finance, ecommerce and CX bring to the leadership meeting agree. See how asking works
Is Querri secure enough for a brand's customer, order and financial data?
Yes. Querri is SOC 2 Type II, HIPAA and ISO 27001:2022 certified. Each organization has its own database and storage, encrypted with AES-256 at rest, and your data, prompts and results never train any model. Connectors are read-only, so Querri never changes an order, a listing or a record in your books, and an agent sets up each connection without ever seeing your passwords. Row-level access rules apply before the AI sees anything. Visit the Trust Center
Is Querri free to start for an ecommerce brand, and how should we weigh the cost?
Yes. Querri is free to start, and no credit card is required. To weigh the cost, compare it with what the other route needs before a first answer: a data warehouse, a BI tool, pipelines and someone to build and maintain the model. Then set that against the hours your team spends each week tying channels together. Current plans are on the Querri pricing page. See pricing
Which systems should an ecommerce brand connect first to get started with Querri?
To get started with Querri, connect Shopify and Amazon first, then NetSuite or QuickBooks for cost and the books, then your ad platforms and Klaviyo. An agent sets up each connection with you and never sees your passwords. The Channel profit and growth blueprint opens on sample data with margin by channel, campaign profit and MER, and each team can add its own blueprint on the same data. Sign up free
One picture of your brand, before the next board meeting.
Connect your store, Amazon and the books, and ask what each channel really earned in one conversation. Querri only reads your data; every order and record stays as it was.