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Real case study · multichannel operation

More than R$ 700k in sales over 12 months, tracked every day, and a double-digit operating margin.

An operation that could barely see its own margin started tracking sales, fees, pricing, and inventory every day. The numbers below are real and rounded to protect the operation, which our team follows.

Payoutsalmost never checked
Marginunknown by product and by channel
Spreadsheetsheavily manual processes
Scattereddata across channels and trackers
sales_FINAL_v3.xlsx
operation dashboard · Google Sheets
over 12 monthsR$ 700k+in sales tracked
orders9k+checked one by one
units12k+sold in the period
operating marginDouble digitswith ~1/4 going to fees and shipping
4 channelsreal numbers, rounded
⇆
beforeafter

drag to compare before and after

Before

The problem wasn't a lack of sales. It was a lack of visibility.

Payouts
almost never checked
Margin
unknown by product and by channel
Spreadsheets
heavily manual processes
Scattered
data across channels and trackers

Revenue was coming in, but almost nothing was left. There was no time or clarity to see where the money was leaking before making any decision.

Experience that didn't start with this case

A team that had already run seven-figure operations before building this dashboard.

10+ years

Operations and e-commerce

Marketplaces, pricing, margin, and inventory: hands-on practice that became a method.

5+ years

Technology and AI

Systems, integrations, and automations in projects in Brazil and abroad.

8+ years

Customer service and sales

Keeping the operation close to the people who buy, with ERP and agile methods.

Important: the numbers are real and rounded, from a single operation, and came from a complete transformation of management and operations, not from one tool on its own. Results vary by business.

What was built

The solution started simple, in Google Sheets.

No waiting for the perfect tool and no Power BI: a single Google Sheets dashboard, with Apps Script and automations, was enough to give the operation the visibility it was missing.

operation dashboard
fxApps Script · automations
What the dashboard doesstatus
1Sales consolidated from every channel·
2Revenue view by marketplace·
3Platform fee calculation·
4Real margin and net profit·
5Profit-based pricing·
6Inventory and inventory value·
7Targets and revenue forecast·
8Weight of fixed and variable expenses·
9Returns analysis·
10KPIs tracked daily·
DashboardSalesFeesPricesInventoryTargetsReturns

What changed in 12 months

In 12 months, the operation started seeing its numbers from end to end.

Selling more doesn't help if you still don't know what's left over. Here the numbers started adding up by order, by channel, and by product, every day.

Over 12 months
R$ 700k+
in sales tracked
4 marketplaces
Orders
9k+
checked one by one
fees, shipping, and payout
Units
12k+
sold in the period
inventory tracked
Fees and shipping
~1/4
of revenue
double-digit operating margin

Rounded figures, taken from the operation's actual dashboard. The result came from many decisions about management, product mix, and channels; the data supported those decisions but was not the only cause.

It wasn't only about revenue

What the operation started seeing every day.

Real margin by product and by channel, not only the average
Minimum price calculated from profit, channel by channel
Platform fees checked and reconciled
Inventory and inventory value tracked daily
Returns measured by their effect on margin
Targets and revenue forecast always in view
Fixed and variable expenses with a clear weight in the numbers
Ad decisions based on what actually pays off

The gains came from many decisions about management, product mix, and channels over time. The data and automation setup gave visibility to those decisions. It was one of the tools, not the only cause.

Result

The numbers adding up every day. And the operation seeing everything.

R$ 700k+
in sales over 12 months
Double digits
operating margin
4 channels
Mercado Livre, Shopee, Shein, and TikTok
Daily
tracking of the numbers

The result was built on many changes in management, operations, product mix, channels, and business decisions. The data and automation setup supported that process; it should not be presented as the only cause of the growth. Real, rounded numbers, with any information that identifies the operation kept private.

Where Radar came from

The spreadsheet solved the problem. But nobody should have to build all of it from scratch.

Keeping a setup like this running takes operations know-how, data logic, automations, and maintenance.

That experience is what led to creating Radar: turning years of in-house solutions into a platform designed from the start for sellers.

Learn about Radar

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