Technologies

SCOPT uses Amazon Web Services to host data marts, APIs, and the applications we run for clients.

SCOPT uses Google Cloud Platform for analytics data marts and the jobs that keep them current.

SCOPT uses Oracle Integration Cloud to move warehouse and transport transactions between Oracle EBS and the systems around it.

SCOPT uses React for the screens operators and customers work in.

SCOPT uses TypeScript for the typed JavaScript in the applications we build.

SCOPT uses MUI as the component library behind our React interfaces.

SCOPT uses Python for models, data preparation, and the services behind planning tools.

SCOPT uses Django for the Python web applications that run supply chain workflows.

SCOPT uses FastAPI for the Python APIs in front of planners and operators.

SCOPT uses Express for the HTTP layer in front of data, notifications, and mobile apps.

SCOPT uses PostgreSQL for all its RDBMS needs, from operational records through the enterprise database.

SCOPT uses MongoDB for document storage when application data does not fit a fixed table.

SCOPT uses DuckDB for fast analytical queries close to the data, without a separate warehouse.

SCOPT uses Snowflake as the cloud warehouse when an analytics workload outgrows a single database.

SCOPT uses Apache Superset for live dashboards on sales, fleet, and control-tower operations.

SCOPT uses Apache Airflow for the pipelines that extract, clean, and load operational data on a schedule.

SCOPT uses pandas and NumPy to prepare data for planning models and the metrics behind a dashboard.

SCOPT uses scikit-learn for machine learning models where a forecast or a classification is part of the solution.