Querri for ecommerce customer experience

Know which orders turn into tickets,and why.

Querri joins every order from checkout to delivery to the ticket it caused, across Shopify, Amazon, your 3PL and the helpdesk, so CX sees which warehouse, carrier or product is behind the volume and what it costs. Then fix the cause instead of answering the same ticket again.

Free to start. No credit card required.

125+ connectors
SOC 2 Type II, HIPAA, ISO 27001:2022
Never trains a model on your data

One minute: every ticket tied to its order and its cause, the Orders to tickets blueprint, and what else your data answers.

One view of every order

Four sources. Every ticket tied to its order.

Tickets live in the helpdesk, orders and promised dates in Shopify and Amazon, shipments and tracking with the 3PL, and refunds and returns in the store and the returns app. Querri joins them on the order, and says how many tickets it couldn't match, so CX, ecommerce and finance count the same orders.

Tickets and escalations GorgiasZZendesk
Orders and promised dates ShopifyAmazon
Shipments and tracking ShipStationShippo
Returns and 3PL files ExcelGoogle Drive

Delivery	Tickets per 100 orders
On time	5.5
1 to 2 days late	15.6
3 to 5 days late	33.3
6 or more days late	57.9

Sample data: Marigold Supply Co., a fictional multichannel brand, April to September 2026. 88% of tickets matched to an order; the rest are counted, not dropped.

Where CX and fulfillment teams start

Three questions the helpdesk can't answer alone

These are good first jobs, not the whole list. Once the helpdesk, your orders and the 3PL are in, the same definitions answer whatever you ask next.

Which orders are turning into tickets this week.

“Which orders are turning into tickets this week, and is it the warehouse, the carrier or the product?”

How it's done today: Helpdesk tags in one tab, Shopify and Seller Central in two more, the 3PL portal in a fourth, and a guess by Monday's meeting.
In Querri: Querri ties every ticket to its order in Shopify or Amazon, rebuilds each order's journey from the 3PL or ShipStation, and attributes the ticket to the warehouse, the carrier or the product. Late means what you define once.

Gorgias ShipStation Facts and rules

Cause	Share of tickets	Owner
Carrier late or lost	27.1%	Carrier
Customer expectation	21.2%	CX
Warehouse shipped late or wrong	20.0%	3PL
Product	20.0%	Product
Not matched to an order	11.8%	CX

Sample data. Allentown's late-ship rate jumped to 37.5% in the week of September 14, from 3% to 8% in a typical week. On-time orders ran 5.1 to 6.0 tickets per 100 in every product category, so lateness, not the product, drives the rate.

What late, lost and damaged deliveries cost.

“Which carriers, lanes and warehouses deliver late, and what do those misses cost in tickets and support time?”

How it's done today: Contacts in the helpdesk, exceptions in the 3PL portal, carrier scans in a third tab, and a monthly estimate nobody trusts.
In Querri: Querri puts shipments and tracking from the 3PL or ShipStation beside each order's promised date and the tickets it caused, so each carrier, lane and warehouse shows how often it delivers late and what its misses cost in support hours.

Shopify Dashboards Data cleaning

Carrier service	Delivered late
Allentown to West, USPS Ground Advantage	47.1%
USPS Ground Advantage	19.3%
UPS Ground	4.9%
FedEx Home Delivery	5.4%

Sample data. Delivery problems took 52.5% of support hours. Moving the long western lanes off one service is the biggest fix.

Escalations nobody owns.

“Which escalated orders have no owner, and how much revenue is waiting on them?”

How it's done today: Escalations in a Slack thread and a shared spreadsheet, and everyone assumes someone else picked it up.
In Querri: Querri joins helpdesk escalations and assignment times with each order's value, channel and status, so the unowned ones surface with the revenue at stake, and a monitor flags any that wait past your limit.

Amazon Views Monitors

Order	Channel	Value	Waiting
#1917	Online store	$88	21 days
#1935	Online store	$168	20 days
#2068	Amazon	$32	5 days
#2048	Online store	$98	3 days

Sample data. Nine escalated orders have no owner, with $618 waiting, some for three weeks.

Tickets by cause is one question. Ask next about repeat contacts on the same order, returns by SKU and channel, or which orders are late and haven't become tickets yet. See how asking works

More than a helpdesk report

One set of order numbers, for CX, ecommerce and finance

The three jobs run on the same foundation as everything else in Querri. Define a number once, and every dashboard, spreadsheet export, Monday review and AI answer uses it.

The Library

Teach it once. It stays right.

Say what late means for each shipping method, which tags count as where-is-my-order, and your business hours, and every answer after that uses it. The refunds and reships CX counts are the same dollars finance books.

The Library Facts and rules

Answers you can stand behind

Click a number. See where it comes from.

Click a warehouse's ticket count to see the orders, shipments and tickets behind it, and when each refreshed. Querri reports its match rate first, and when it can't answer, it says what's missing.

How Querri gets to an answer

Wherever you work

Answers for the whole CX team.

Ask in plain language, with no SQL and no analyst queue. Build the Monday view by asking, send it to Excel or slides for the 3PL review, or ask from your AI assistant, under each person's own access.

Dashboards Presentations Your AI assistant

It keeps learning

Wake up to what changed.

Monitors judge each warehouse's late-ship rate, each carrier lane and each escalation against its own history, and say which one moved, not just that tickets went up. Every night Querri works through your data and leaves what it found in your Inbox. Nothing changes without your OK.

Nightly insights and Monitors

The blueprint

An orders to tickets blueprint, ready in minutes

Four steps from sign-up to your own Monday CX view. No warehouse, BI build or data hire first.

Sign up free

No credit card. Your own workspace is ready in about a minute.
Install Orders to tickets

Open Blueprints, pick the card and install it. Sample data comes with it, so every page has numbers right away.
Orders to tickets21 pieces
Keep the sample, or connect your data

Connect your helpdesk, Shopify, Amazon and ShipStation, or add your 3PL's shipment file. An agent sets up each connection with you.
Open your Orders to tickets desk

Tickets by cause, delivery by carrier and warehouse, and unowned escalations, on one site.

The Orders to tickets blueprint in Querri on Marigold Supply Co. sample data: tickets per 100 orders by days late, tickets by cause and late deliveries by carrier — Tickets per 100 orders by days late, on the Orders to tickets desk (Marigold Supply Co. sample data).

Everything that installs

5 Site pages

Orders to tickets desk
- Monday view
- Ticket drivers
- Delivery by carrier and warehouse
- Escalations
- Definitions and data readiness
3 Dashboards
- Ticket drivers
- Delivery performance
- Support cost
4 Views
- Order journey
- Tickets matched to orders
- Escalations
- Support cost
3 KPIs
- Tickets per 100 orders
- Late delivery rate
- Order match rate
4 Skill and monitors
- Monday CX review
- Warehouse late-ship watch
- Carrier lane watch
- Unowned escalation watch

Late means delivered after the date the customer was promised. Tickets match to orders by order number, then subject line, then email within 30 days, and the match rate shows first.

Compare

How Querri compares with the other ways CX teams get these numbers

Most CX and fulfillment teams already have helpdesk reports, a 3PL or shipping portal, a spreadsheet, or all three. Here is where each fits, where it stops, and how Querri works alongside it.

	Querri	Helpdesk reports	The 3PL or shipping portal	Exports and a spreadsheet
Time to the first answer	Minutes on sample data from the blueprint, then on your own	Already there for ticket counts	Already there for shipments	A morning, every week
Tickets, orders, shipments and refunds together	Joined on the order, from 125+ connectors and file uploads	Sees the ticket, not the shipment	Sees the package, not the ticket	Whatever someone lines up by hand
Warehouse, carrier or product behind a ticket	Attributed per ticket, with the match rate shown	Only as tagged by agents	Late shipments, without the contacts they caused	A guess from the totals
What late and a WISMO ticket mean	Defined once; every answer, dashboard and AI agent uses it	In each view's filters	The carrier's own scan	In each workbook's formulas
Where a number came from	Click any number to see its source tables and refresh time	Inside the helpdesk	Inside the portal	In the formulas, for whoever built them
Watching for changes	Monitors on each warehouse, lane and escalation against its own history	Alerts on queue size	Exception lists per shipment	Someone notices on Monday
Answering customers	Not Querri's job. Keep your helpdesk	Its core strength	Tracking pages and notices	Not its job
How it works with Querri	Reads from all three, plus Shopify and Amazon	Keep it for the queue. Querri adds the order behind each ticket	Keep it for operations. Querri adds the contacts and cost	Answers export to Excel for the 3PL review
The right call on its own when	Tickets cross the store, Amazon, the 3PL and the helpdesk	You only need queue and agent stats	You only need shipment status	It's a one-off question

Approaches, not products: what each typically looks like in late 2026.

Querri's connectors The cost of building in-house Querri inside your AI assistant Querri and BI tools Querri and general AI assistants

Questions

Ecommerce CX and fulfillment analytics: common questions

How do ecommerce CX teams find which orders are turning into support tickets?

Querri ties every helpdesk ticket to its order in Shopify or Amazon, matching on the order number, then the subject line, then the customer's email. It rebuilds each order's journey from the 3PL or ShipStation and attributes the ticket to the warehouse, the carrier or the product. The match rate shows first, so you know what the answer covers. How Querri gets to an answer

Do late deliveries or products drive more ecommerce support tickets?

Test it on your own orders. In Querri's sample data, on-time orders ran 5 to 6 tickets per 100 in every product category, while orders six or more days late ran 58 per 100. Querri splits ticket rates by days late, carrier, warehouse and product, so you see which one really moves volume. Open the Orders to tickets playbook

How can we measure what late, lost and damaged deliveries cost?

Connect Shopify and Amazon for orders and promised dates, your helpdesk for tickets, and the 3PL or ShipStation for shipments, then add your support cost per hour once. Querri puts the late rate, tickets and support hours each carrier, lane and warehouse caused side by side, ready for the next 3PL or carrier review. Dashboards

What does Querri add if our helpdesk already reports on tickets?

Keep the helpdesk for answering customers and queue stats. It sees what the customer asked, not whether the order shipped late or which carrier had it. Querri joins the ticket to the order, the shipment and the refund, so where-is-my-order turns from a ticket category into a list of lanes and warehouse days to fix. See every connector

Can Querri flag escalations that nobody owns?

Yes. Querri joins helpdesk escalations and assignment times with each order's value, channel and status. Set how long an escalation can wait without an owner, and a monitor flags each one past that line, with the revenue at stake, in the morning Inbox. Nightly insights and Monitors

Is customer and order data safe in Querri?

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 or a ticket, and row-level access rules apply before the AI sees anything. Visit the Trust Center

What does a CX team connect first to get started with Querri?

To get started with Querri, connect your helpdesk and Shopify, then Amazon and ShipStation, or upload your 3PL's shipment and tracking files. An agent sets up each connection with you. The Orders to tickets blueprint opens on sample data first, with tickets by cause and delivery by carrier, then runs on your own data. Sign up and open the blueprint

Is Querri free to start for ecommerce CX teams?

Yes. Querri is free to start, and no credit card is required. There's no warehouse, BI tool or analyst to set up first, so a CX lead can have the Monday view running on sample data the same day. Current plans and prices are on the Querri pricing page. See pricing

Playbooks

Three questions CX answers across orders and tickets

Step by step, with sample data, for the person who builds the report.

Playbook

Orders to tickets

Which orders are turning into support tickets this week, and is it the warehouse, the carrier or the product?

Open the playbook

Playbook coming

What late deliveries cost, by 3PL and carrier

What did late, lost and damaged deliveries cost in tickets and support time?

Playbook coming

Escalations with no owner

Which escalated orders are waiting for an owner, and how much revenue sits behind them?

From the blog

For the COO and the founder

What to do once you have the answer.

Article

Order-related support tickets: where should leaders invest?

Find which order problems created the work before a busy queue becomes a permanent hire.

Read the article

Article coming

Late deliveries, not products, drive most tickets

How to test it on your own orders before you blame a product line.