Grupo Saga Saves R$ 80,000 and Automates 3,700 Hours with BotCity in Python
The transformation from low-code to high-code intelligent automation that increased scalability and operational efficiency for one of Brazil’s largest vehicle dealership networks.
Obtenga más informaciónhours in automated activities
horas em atividades automatizadas
monthly savings in operational costs
monthly savings in operational costs
reduction in process execution time
de redução no tempo de execução dos processos
increase in development productivity
de aumento na produtividade do desenvolvimento
Grupo Saga is a Brazilian company with over 50 years of history, dedicated to shaping the future of mobility in the country.
Grupo Saga, one of Brazil’s largest vehicle dealership networks, faced challenges in scaling its automations using low-code solutions. While these tools were effective for initial MVPs, the company needed a platform offering greater flexibility and customization for more complex automations requiring high scalability.
Procesos automatizados
Invoice bookkeeping
Title reconciliation
Payment posting
Transcription of survey responses between systems
Database cleaning
Vehicle entry
Challenge: Overcoming Scalability and Customization Limitations in Intelligent Automation
The main challenge for Grupo Saga was the lack of scalability and customization in the automations provided by low-code tools. Many critical automations, such as account reconciliation and the customer satisfaction research center, required a level of customization that low-code solutions were unable to effectively deliver.
Additionally, the ability to parallelize executions to handle large volumes of data and repetitive processes was limited, directly impacting operational efficiency.
Grupo Saga’s leadership was also concerned about governance and the orchestration of robotic processes in high-code solutions, fearing that adopting a more technical platform would increase complexity and costs. The group needed a solution that ensured flexibility, scalability, and robust orchestration without compromising operational control.
Solution: Intelligent and Scalable Automations in Python Orchestrated by BotCity
The transition of more complex automations to BotCity's Python-based robot orchestration platform was a game-changer for Grupo Saga. By adopting high-code solutions, the company was able to deeply customize its automations, creating bots that perfectly fit critical business processes.
With this approach, the company efficiently orchestrated and monitored its automations, overcoming governance and orchestration challenges that previously limited the use of high-code solutions.
Today, more than 40 automations have been created, with 12 operating on the BotCity platform across various departments, including IT, finance, accounting, tax, auditing, human resources, quality, and operations control.
Among these automations are complex processes such as invoice bookkeeping, title reconciliation, payment processing, survey response transcription between systems, data cleansing, and vehicle entry management.
Results
The implementation of the BotCity solution brought significant results for Grupo Saga:
- Processes such as the "account reconciliation," which were previously done manually once a week, are now automated and performed in parallel, allowing for the execution of 2,500 reconciliations per month. This has resulted in a savings of 3,000 to 4,000 minutes per month.
- The automation of the research center eliminated the need for manual intervention and reduced the risk of errors, ensuring greater accuracy in monitoring customer satisfaction.
- There was an improvement in workload management for teams, with employees being reallocated to more strategic tasks.
- The adoption of the BotCity platform removed the team's reluctance to use high-code solutions, facilitating the monitoring and control of all automations, ensuring that each bot was executed successfully, and allowing the team to detect failures quickly.
Maykon Ponce
Solutions Manager at Grupo Saga
