Customer Story / Faherty Brand

FP&A Multi-Location Scale: How Faherty Automated Multi-Store Reporting with Cube.

Faherty's finance team reports on 80+ retail stores and 15 corporate departments. Store P&Ls that used to take hours of manual pulls now refresh in a click.

Cube is the AI-powered financial intelligence platform that connects bi-directionally to Excel and to source systems like NetSuite, giving finance teams trusted, decision-ready data without leaving their spreadsheets.

1 click

Store P&L Refresh
(was hours)

~5 min

Data check
(was 15-20 min)

80+

Stores, Scaling toward 100

The situation

A fast-growing retailer reporting on 80+ stores from spreadsheets

Faherty is a retail apparel brand scaling fast, from a handful of stores toward 100, with 15 corporate departments behind them. Every store has its own P&L, and finance owns all of it.

The data lived in NetSuite, but the reporting lived in Excel. Pulling each store's numbers, store by store, and stitching them into one view was a manual grind that ate hours every reporting cycle.

As the store count climbed, that approach did not. The team needed to report on more locations without hiring a person just to move numbers between systems.

Company

Faherty Brand (retail apparel)

Footprint

80+ stores, 15 corporate departments

Stack

NetSuite + Excel, connected by Cube

Team

Lean finance team, no dedicated admin

The pain

Hours of store-by-store pulls, every single reporting cycle

building 1
Every store P&L was a separate manual download

Reporting on 80+ stores meant pulling each one and reassembling them by hand. The work scaled linearly with every new location.

clipboard-document-list
Rebuilding the same report for 15 departments

Each corporate department needed its own view, and each one was built from scratch. Same structure, fifteen times over.

Time Clock Circle
A 15-to-20 minute wait just to check the data

Verifying a single figure meant re-running pulls and reconciling by hand before anyone could trust the number.

How cube fixes this

One connected model, refreshed in a click across every store

Cube sits between NetSuite and the spreadsheets Faherty already works in, so the team automates multi-store financial reporting without changing how they work.

Patented bi-directional connectivity

Your spreadsheets stay. The data underneath gets current.

Cube's patented bi-directional spreadsheet connectivity pushes and pulls live NetSuite data straight into Excel. Faherty's team kept their workbooks and dropped the manual export step entirely.

Store P&Ls that took hours of pulls now refresh in a click, all 80+ at once.

Spreadsheet Example Build

The data manager

Build one template. Reuse it across all 15 departments.

Instead of rebuilding a report per department, Faherty builds it once and changes a single dimension to reproduce it. The Data Manager keeps every version tied to the same source data.

Work that took days now takes minutes, and it holds up as the store count grows.

Screenshot 2026-07-30 at 11.48.23 AM

Trace to truth

Trust every number, because it traces back to the source.

Cube is built on trace-to-transaction trust, so every figure in a store P&L maps back to its NetSuite record. A data check that ran 15 to 20 minutes now takes about 5.

When the numbers reconcile to the source, the team stops second-guessing them.

Audit Trail_All

How it works

From store-by-store pulls to one-click reporting in one cycle.

1

Connect NetSuite
Cube links to NetSuite and the team's existing Excel workbooks, no rip-and-replace.

2

Build once, reuse
One template covers every store and department, swapping a single dimension to scale.

3

Refresh in a click
All 80+ store P&Ls update at once, traced back to the source for trust.

The Results

More stores, more departments, no extra headcount

1 click

Refresh across 80+ store P&Ls, down from hours

~5 min

Data check, down from 15-20 minutes

15

Departments served from one reusable template

100

Stores the model is built to scale toward

"You just create one template. Once it's good, all you have to do is change the department, and you're done."
Amber Cheung VP, Financial and Inventory Planning

Amber Cheung

VP, Financial & Inventory Planning, Faherty Brand

Questions buyers ask

Automating multi-store reporting with Cube: common questions

Yes. Faherty's finance team builds and refreshes store-level P&Ls in Cube themselves, with no dedicated administrator. Cube connects to NetSuite and keeps Excel in place, so the team owns the model end to end instead of filing tickets for every change.
No. Cube keeps your spreadsheets and makes the data underneath them trusted and current. Faherty's team still works in Excel, but Cube's patented bi-directional connectivity pushes and pulls live figures so every store P&L ties back to the source in NetSuite.
Cube turns store-by-store data pulls into a single refresh. At Faherty, reports that once took hours across 80+ stores now update in a click, and a data check that ran 15 to 20 minutes now takes about 5. The team reuses one template across all 15 corporate departments instead of rebuilding each one.
Yes. Faherty builds a template once, then changes the department or store dimension to reproduce it across the business. That reuse is how a small team reports on 80+ stores and 15 departments without adding headcount as the store count scales toward 100.
Yes. Cube is built on trace-to-transaction trust, so every figure in a store P&L maps back to its source record. Faherty's team can stand behind multi-store reports because the numbers reconcile to NetSuite rather than to a hand-built spreadsheet.

Learn how Cube is the
Finance Layer for AI.

Plan faster. Report smarter. Lead with confidence.
Get a demo