Sales dashboard · reads the ERP you already run

Your sales data is already in the ERP. You just couldn't see it.

EletroDash reads the orders out of your system and gives you, on one screen, what actually decides the week: who is about to stop buying, which products carry the revenue, and where the growth came from.

No ERP swap. No data migration.

  • 1 clickslices the whole dashboard
  • 7 panelsunder the same filter
  • 0 spreadsheetsto reach the answer
eletrodash
Revenue in period▲ 32,3%
Average order▼ 2,1%
At riskclientes

Revenue over time

Orders per month

Reads data from
Bling· Tray· WooCommerce· In-house ERPs· REST API· MySQL· Legacy spreadsheets· PostgreSQL· Bling· Tray· WooCommerce· In-house ERPs· REST API· MySQL· Legacy spreadsheets· PostgreSQL·

What happens today

A report is not a decision.

Every ERP exports sales. Almost none answers the questions that matter — and between the spreadsheet and the answer sits an entire afternoon of manual work that repeats every Monday.

  • ?Which good customer stopped buying without anyone noticing?
  • ?Which SKUs actually carry the revenue — and which just sit in stock?
  • ?The month grew, but where? Which state, which product?
  • ?Are we leaning too hard on too few customers?

How it goes today

  1. Export a CSV from the ERP
  2. Build a pivot table
  3. Check number by number
  4. Do it again next week

With EletroDash

  1. Open the dashboard
  2. Click whatever stands out
  3. Decide

Try it right here

Click anything. The whole dashboard recalculates.

This is the feature that changes the daily routine: cross-filtering with a granularity switch. Pick a state, a product or a year, move the view between week, month, quarter and year — everything rebuilds instantly, with no page reload and no waiting on the server.

State

Product

Year

View

Revenue
Orders
Average order

Automatic reading

Revenue by product

Revenue by state

Demo data covering three years. On your dashboard, these are the real orders from your own sources.

What ships with it

Built by people tired of pretty, useless dashboards.

Every panel answers one specific business question. No decorative charts.

Cross-filter

One click slices everything

Click a state, product, customer or month and all seven panels refilter at once. Slices stack up and come off one at a time.

ABC curve

Which products pay the bills

Automatic Pareto over the catalogue actually sold: how many SKUs hold 80% of revenue, and which ones form the tail that only occupies stock.

RFM matrix

The book that is leaking

Recency, frequency and value on a single screen. It shows how many high-value customers went quiet and how much revenue is there to win back.

Honest comparison

The right previous period

Filtered the current month? The comparison runs against the same stretch of last month — not an arbitrary block of days. The compared range is printed on screen.

Seasonality

Year against year, month by month

A heat map that exposes the seasonal pattern and the real year-over-year growth, without keeping two screens open.

Automatic reading

The dashboard says what it sees

Every chart writes a sentence about its own slice: which period pulled, who concentrates the revenue, whether the last months rose or fell. And behind every visual sit the numbers in a table, to check or copy.

Use cases

Same screen, different questions.

The dashboard adapts to what your operation needs to know first.

A concentrated book is risk, not achievement

A distributor with hundreds of active accounts rarely knows how much revenue depends on the top ten — or when one of them starts drifting away.

  • Top-10 concentration indicator, with a visual alert above 50%
  • The RFM matrix separates champions from those hibernating
  • Repeat-purchase rate shows whether the base is turning or just spinning

Knowing what to sell next month

In retail the problem is not missing data, it is too much of it: thousands of orders and no clear read on seasonality, mix and order value.

  • A year × month heat map exposes the real seasonal pattern
  • Product-line mix shows what pulls and what dilutes the margin
  • Average order value tracked against the same period last year

Where the commercial coverage leaks

Reps cover territories, but coverage is rarely measured. Whole states run below potential without anyone noticing.

  • A treemap by state sizes revenue and customer count together
  • Click a state and the entire dashboard speaks only about it
  • Comparison with the previous period reveals regional decline early

One number a day, on the phone

Whoever decides does not open spreadsheets. They need a summary that is trustworthy, fast to read and points at what changed since the last look.

  • Six indicators at the top, each with change against the previous period
  • Automatic reading lines explain what the chart is showing
  • Works on the phone, on the same data as the desktop

In your pocket

Executives don't open spreadsheets. They open the phone.

Same dashboard, same data, no app to install and no cut-down version. Whoever decides takes thirty seconds before the meeting and already knows what to ask.

  • The six indicators first Revenue, orders, average order, customers, repeat rate and concentration sit at the top, each with its change against the previous period.
  • A warning before it is a problem Concentration above 50% changes colour on its own. A quiet book becomes a number with revenue to win back.
  • Reading in words, not only charts Every panel writes a sentence explaining what it shows. Readable in a corridor, with no axis to decode.
  • Cross-filtering by touch too Tapping a state or a product slices the whole screen, exactly as on the desktop.

It runs in the phone browser. Nothing to install, nothing to approve in an app store, nothing that depends on a VPN.

EletroDash August · to date
Revenue this month ▲ 32,3% vs. July 1–31
Average orderR$ 484▼ 2,1%
Active customers252▲ 3,3%
Book at risk R$ 142k 17 high-value customers quiet for more than 44 days
Top 10 concentration 53%
above 50% raises the alert

Best month of the year. Growth came from SP and the PH line.

Open book at risk →

Data sources

Your numbers don't all live in the same place.

Almost no operation keeps everything in a single system. EletroDash reads wherever the data sits — straight from the database when there is no API — and brings it together on one screen.

01

ERPs and management systems

Through the API when it exists and is good. When it doesn't, we read the database.

  • Bling
  • Tray
  • Omie
  • TOTVS
  • Sankhya
  • In-house systems

02

Direct database access

Read-only user, a replica or a nightly window. A legacy system with no API stops being a blocker.

  • MySQL
  • PostgreSQL
  • SQL Server
  • Oracle
  • Firebird
  • SQLite

03

E-commerce and marketplaces

The digital channel lands on the same dashboard as counter and field sales.

  • WooCommerce
  • Shopify
  • Magento
  • Nuvemshop
  • Mercado Livre
  • VTEX

04

Support and CRM

Conversation and sale in one place — WhatsApp included, through ServZap.

  • ServZap / WhatsApp
  • HubSpot
  • Pipedrive
  • RD Station
  • Zendesk
  • Account spreadsheets

05

Finance and collections

Invoicing is not receiving. The dashboard keeps the two apart.

  • Receivables
  • Overdue accounts
  • Bank slips and PIX
  • Bank reconciliation
  • Acquirers
  • Tax invoices

06

Legacy and files

Scheduled exports, a network folder, FTP. If the data leaves the system, it reaches the dashboard.

  • CSV and Excel
  • Scheduled exports
  • FTP / SFTP
  • Google Sheets
  • Flat files
  • Webhooks

Two sources almost never name the same customer the same way. Reconciliation — of records, SKUs, currency, time zones — is part of the job and is done alongside you, not pushed onto your team.

Same engine, other dashboards

Sales is where most people start, because it hurts first. The mechanism — read the source, aggregate in the browser, cross the filters — serves any operation that already has history.

  • SupportVolume per channel, time to first response and resolution per agent.
  • FinanceOverdue balances per customer and ageing bracket, with the book at risk made visible.
  • LogisticsReal delivery time per carrier, route and region — against what was promised.
  • InventoryTurnover, days of cover and stockouts per SKU, crossed with the sales ABC curve.
  • MarketingLead source through to closed sale, with cost per channel and average cycle.
  • ProductionDowntime per line, scrap and output per shift.

How it works

It installs on top of what you already have.

It does not replace the ERP, does not ask for migration and does not create one more system for the team to maintain.

  1. 01

    Connect

    We point the dashboard at your ERP's sales database or API. If an endpoint already exists we use it; if not, we build the read layer.

  2. 02

    Compute

    One query brings the period in, and the aggregations happen in the browser. That is why cross-filtering answers instantly.

  3. 03

    Decide

    The dashboard opens on the current month. You click whatever stands out and drill down to the cause — exporting nothing.

We tailor indicators, colours and naming to your operation. The dashboard's visual identity comes from a single configuration file.

What the dashboard delivers on day one

0 panels cross-filtered together
0 strategic indicators at the top
0 of visuals with an equivalent table
0 exports needed to make a call

Let's talk

Want to see it with your own numbers?

We show the dashboard running and, if it makes sense, we build a proof of concept with a sample of your database.

  • Demo running on real sample data
  • Technical review of your data source
  • No commitment and nothing to install first

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