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Projeto de gestão de inventário SaaS (software as a service)
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O presente projeto foi desenvolvido com base no contexto da OutSystems, uma empresa portuguesa especializada em plataformas de desenvolvimento low-code e que utiliza um portefólio diverso de aplicações SaaS para suportar equipas de engenharia, vendas, suporte ao cliente, finanças e operações. O portefólio inclui múltiplos modelos de licenciamento, característicos de ambientes tecnológicos complexos. Para garantir a confidencialidade dos contratos, os dados utilizados correspondem a simulações construídas a partir de padrões reais de utilização, sazonalidade e valores contratuais observados num ano de histórico. Embora os nomes das aplicações tenham sido substituídos por identificadores genéricos, mantiveram-se as suas características operacionais, assegurando a validade analítica do estudo. Aplicado em no contexto atual de crescimento e expansão das operações, identificaram-se ineficiências típicas na gestão de licenças de aplicações empresariais: excesso de licenças ociosas em alguns contratos e risco de indisponibilidade em outros. Propõe-se, então, um dimensionamento por capacidade-alvo, combinando o pico observado de uso e uma margem de segurança, e a aplicação da análise ABC para priorizar esforço onde o impacto orçamental é maior. A solução foi operacionalizada em Excel, reunindo dados contratuais e históricos de utilização, e aplicando ferramentas utilizadas na gestão de inventário de material acabado como Reorder Point e Safety Stock, para suportar as decisões de pedido de compra executadas nas janelas de renovação. Demonstram-se ganhos na redução de ociosidade, na mitigação de custos extras e na clareza de governança, traduzidos em menor gasto anual e maior previsibilidade operacional. O relatório descreve a base conceptual, a metodologia aplicada, a implementação, os resultados pós-adoção das práticas e conclui com recomendações para investigações futuras.
This project was developed based on the context of OutSystems, a Portuguese company specialized in low-code development platforms that relies on a diverse portfolio of SaaS applications to support engineering, sales, customer support, finance, and operations teams. The portfolio involves multiple licensing models, which are typical of complex technological environments. To ensure contractual confidentiality, the data used in this report consist of simulations constructed from real patterns of usage, seasonality, and contractual values derived from one year of historical behavior. Although the names of the applications were replaced with generic identifiers, their operational characteristics were preserved, ensuring the analytical validity of the study. Applied in the current context of operational growth and expansion, typical inefficiencies in the management of enterprise application licenses were identified. These include excess idle licenses in some contracts and the risk of unavailability in others. To address these issues, a capacity target sizing approach is proposed, combining the observed usage peak with a safety margin, together with the application of ABC analysis to prioritize managerial effort where the budgetary impact is greatest. The solution was implemented in Excel, consolidating contractual and historical usage data and adapting finished goods inventory management tools such as Reorder Point and Safety Stock to support purchasing decisions executed during renewal windows. The results show reductions in idle capacity, mitigation of extra costs, and clearer governance, which translate into lower annual expenditure and greater operational predictability. The report describes the conceptual basis, the applied methodology, the implementation, the post adoption results and concludes with recommendations for future research.
This project was developed based on the context of OutSystems, a Portuguese company specialized in low-code development platforms that relies on a diverse portfolio of SaaS applications to support engineering, sales, customer support, finance, and operations teams. The portfolio involves multiple licensing models, which are typical of complex technological environments. To ensure contractual confidentiality, the data used in this report consist of simulations constructed from real patterns of usage, seasonality, and contractual values derived from one year of historical behavior. Although the names of the applications were replaced with generic identifiers, their operational characteristics were preserved, ensuring the analytical validity of the study. Applied in the current context of operational growth and expansion, typical inefficiencies in the management of enterprise application licenses were identified. These include excess idle licenses in some contracts and the risk of unavailability in others. To address these issues, a capacity target sizing approach is proposed, combining the observed usage peak with a safety margin, together with the application of ABC analysis to prioritize managerial effort where the budgetary impact is greatest. The solution was implemented in Excel, consolidating contractual and historical usage data and adapting finished goods inventory management tools such as Reorder Point and Safety Stock to support purchasing decisions executed during renewal windows. The results show reductions in idle capacity, mitigation of extra costs, and clearer governance, which translate into lower annual expenditure and greater operational predictability. The report describes the conceptual basis, the applied methodology, the implementation, the post adoption results and concludes with recommendations for future research.
Descrição
Palavras-chave
SaaS Capacidade Análise ABC Nível de serviço Gestão de inventário Inventory Management Capacity Planning ABC Analysis Service Level