A boutique owner checking live store analytics on her phone on the sales floor
Part of the Teamwork Commerce platform

Retail analytics,
from store to head office.

Most retailers have the data and still wait on the answer. The cloud back office arrives with 150+ reports already built and the Looker dashboards already live, both running on the same data your stores are transacting against right now.

At head office

The regional manager wants yesterday's sales by store before the 9 o'clock call. The report already exists, so there is no ticket to IT and no spreadsheet.

150+
Out-of-the-box reports
Day 1
Standard dashboards live
40+
Countries · multi-currency
Zero
Impact on POS performance
Cloud Back Office · Reporting

150+ reports built for retail executives.

01

Already in the library

The whole set is out of the box. Your team picks a report from Sales through Finance rather than briefing an analyst and waiting on a build.

02

Read from the live operation

Rows come from the transactions your stores are running now, not an overnight extract, so the buyer reordering on Tuesday and the controller closing the month see the same numbers.

03

Totalled once, filed in each market

Exchange rates are configured per market, so the total lands in your base currency. The fiscal summaries each market requires for its own return come off the same transactions.

Cloud Back Office · Dashboards

The dashboards are already built.

The standard retail dashboards are live from day one of your implementation, not months into a build.

Cloud back office, Dashboards
Live
Overview Sales Inventory Customers Finance
Powered by Looker Last 30 days
Leadership and sales
Executive overviewLive

The whole estate on one screen: in-store, e-commerce and warehouse together, not three reporting silos to reconcile.

Sales and year-over-year

ATV, UPT, gross and net margin, compared week over week and year over year on the 4-5-4 retail calendar.

Associate performance

Sales per associate, conversion, ATV and clienteling effectiveness, which shows who is converting and who needs coaching.

Stock and customers
Stock and inventory health

Stock on hand and movement by channel, RFID-verified: what the dashboard shows is what is on the shelf.

Merchandising and purchasing

What is selling through, what is sitting, and what to reorder, in time to do something about it rather than at the markdown.

Customer segmentation

RFM segmentation on recency, frequency and monetary value, so a campaign goes to the customers worth the spend.

I'm a little addicted to dashboard. To have that feature on my phone, be able to see the live sales and what trends are in the ballpark has really stepped up our game.
Aaron HeinrichSenior Director of Retail Operations, Colorado RockiesRead the case study
Sales & Performance

Every retail KPI on one dashboard.

Receipts, sales, UPT, ATV, margin, charted by retail week and compared across periods and locations, straight out of the cloud back office.

  • Period-over-period comparison on every chart
  • Gross sales ranked by location at a glance
Customer Intelligence

Know your customers and their behavior.

Net sales, margin, and receipt distribution by customer segment, with geography, demographics, and purchase value and frequency over time. Enough to see which segments are growing, which are slipping away, and who is worth building the next promotion around.

  • Segment anything: spend tiers, geography, gender and age
  • Average purchase value and frequency tracked week by week
See your data come alive.
Walk through the cloud back office with a technical specialist using your own KPIs.
Book a demo
Cloud Back Office · In Practice

Who opens the reports, and what changes?

The value is not the chart. It is that the person who has to act can reach the cause themselves, without filing a request.

Retail leadership

Performance arrives fragmented across stores, e-commerce and the warehouse.

One view, and it drills. A margin number that looks wrong opens into the locations behind it, then the items, then the receipt.

Merchandising and planning

Stockouts on one side, markdowns on the other.

Stock on hand beside RFM customer segmentation, on a native 4-5-4 retail calendar, so week-over-week and year-over-year land without a spreadsheet.

Store and district operations

Mornings lost rebuilding the same store report.

The sales and stock summary arrives by email as a PDF, CSV or Excel file, waiting before the doors open.

IT and data

Reporting queries that slow the tills at the worst possible moment.

Analytics run on a dedicated Google BigQuery backend, decoupled from the operational database, so querying years of transactions never touches checkout speed.

Security & Compliance

SOC 2, PCI DSS and GDPR compliant.

Independently verified against the standards your security, finance, and legal teams demand, in the markets we serve.

Bring your security questionnaire
SOC 1 Type 2
SOC 2 Type 2
GDPR
PCI DSS
NF525 / TSE
ISO 27001
PIPL · China
MLPS 2.0 · China
Uniqlo
ASICS
Acne Studios
The Row
Lammle's
Lucchese
Moose Knuckles
N.Peal
Tori Richard
120% Lino
Los Angeles Apparel
LoveShackFancy
Oner Active
Uniqlo
ASICS
Acne Studios
The Row
Lammle's
Lucchese
Moose Knuckles
N.Peal
Tori Richard
120% Lino
Los Angeles Apparel
LoveShackFancy
Oner Active
Frequently Asked Questions

Retail analytics questions, answered.

The cloud back office is Teamwork Commerce's enterprise reporting and analytics platform. It extends the same Mobile POS you already run, turning transaction and mPOS data into 150+ out-of-the-box reports covering sales, inventory, associate performance, fulfillment and finance, with multi-currency support across 40+ countries. Live dashboards sit on top of the same data, powered by Looker, with Viewer and Explorer licenses in every environment. It's included with your deployment.

The 150+ reports ship out of the box, the same library for every retailer on the platform, so there is nothing to build before you can run them. Anything beyond that library is built by Teamwork rather than left for you to assemble. On the dashboard side, Looker dashboards can be customized and set to deliver on a schedule, configured by your technical specialist.

No. Analytical queries run on a dedicated Google BigQuery backend that is decoupled from the operational database the stores transact against, so querying years of history has no effect on checkout speed or inventory lookups. That separation is what keeps query times fast through peak trading periods such as Black Friday and Cyber Monday.

Yes. Exchange rates are configured per market in the cloud back office, so group totals can be read in your base currency instead of being reconciled by hand. Reporting also covers the fiscal summaries each market requires for its own filing, built from the transactions the POS has already recorded.

Stop drowning in data. Start making decisions.

150+ reports, every store, one back office.

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