Case studies

What we have built

Real operational problems solved with custom software. By agreement with our clients, we present the challenge and the result without exposing data or internal details. The screens are real, captured from the running systems, and shown in Portuguese.

01 · Manufacturing

Monitoring and control system for industrial machines

Remote monitoring and control of wire drawing, straightening, and welded mesh and lattice girder machines over Modbus, OPC-UA and MQTT, with real-time data.

The challenge: The machines ran on isolated physical panels: to know the state of one, someone had to walk over to it.
What we delivered: A single browser dashboard with the live state of every machine in the plant.
Remote commands with per-user permissions and a log of who did what.
Production and sensor history to investigate downtime and losses.
The result: Operations now monitors and controls the plant remotely, with fewer walks to the floor and faster response to failures.
Technologies: PythonDjangoTimescaleDBModbusOPC-UAMQTTReactWebSocket

Machine list from the monitoring system: each piece of equipment with model, code, connection status and last recorded output

02 · Logistics

Real-time fleet management

A complete fleet management platform with live GPS, 38 configurable alert types, geofences and preventive maintenance.

The challenge: The legacy tracking system could not keep up: delayed positions, few useful alerts and screens that slowed down as the fleet grew.
What we delivered: Live map of the whole fleet with route history per vehicle.
Alerts the company configures itself, with driver identification.
Preventive maintenance control by mileage, engine hours or date.
The result: Platform in production with real-time positions, fast screens even with the full fleet, and critical alerts arriving within seconds.
Technologies: PythonDjangoPostGISRedisReactLeafletWebSocket

Fleet management screen: a map with vehicles grouped by region and a vehicle list with plate, driver and status

03 · Retail

Fashion e-commerce with integrated payments

A complete online store for jewelry, eyewear and watches, with integrated payments, a financial dashboard and a CMS for non-technical managers.

The challenge: Sell online without depending on third parties for every change, and see the finances of the business, which until then lived in spreadsheets.
What we delivered: Store with full checkout and integrated payment methods.
A panel where the owners themselves add products, photos and inventory.
Financial view with revenue, expenses and margin per period.
The result: Store live, a team that publishes products on its own, and finances visible without manual spreadsheets.
Technologies: PythonDjangoPostgreSQLReactTypeScriptAWS S3

Online store built by Volvi: product showcase with price, discount and installment payment

04 · Financial services

Group-buying platform with multi-level commissions

A financial platform managing consortium groups (a Brazilian collective savings scheme), with automated multi-level commissions, digital contracts and a sales dashboard.

The challenge: The portfolio was managed in spreadsheets: calculating commissions across several levels took hours and caused disputes with the sales team.
What we delivered: Groups, quotas and installments managed in one place.
Automatic commission calculation, with rules defined by the company.
A salesperson dashboard with portfolio, targets and amounts due.
The result: What took hours of manual checking now comes out automatically, with numbers that salespeople and managers can see without asking anyone.
Technologies: PythonDjangoPostgreSQLCeleryReactTypeScript

05 · Data & cloud

Data engineering and SQL optimization on Google Cloud

Modernization of SQL routines and data governance with BigQuery and Dataplex for a large national retail chain.

The challenge: Business-critical data routines were slow, growing more expensive, and nobody could say whether the numbers in the reports were reliable.
What we delivered: Data routines reworked to run faster and process less.
Automated quality checks before data reaches the reports.
Environment organized so teams can find and understand every table.
The result: Faster, cheaper routines, and reports leadership can trust again.
Technologies: Google CloudBigQueryDataplexSQLLooker Studio

Real system screens with client details removed. The fleet system was captured in a demo environment with a fictitious company, vehicles and drivers. © OpenStreetMap.

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