ddd-by-examples/factory

This system is a supply chain management platform that predicts product shortages and forecasts demand to optimize inventory and production planning. It integrates domain models for stock forecasting, demand adjustments, and delivery planning, exposing these capabilities via RESTful APIs. The architecture supports automated testing, continuous integration, and local development workflows using PostgreSQL and Gradle.

The project established a standardized build environment with Gradle and CI/CD configurations, while simultaneously introducing core domain models for demand forecasting and delivery planning. Database infrastructure was updated to use PostgreSQL with Liquibase schema management, supported by comprehensive integration tests and test fixtures.

4 changes

This period focused on implementing core supply chain analytics, introducing features for stock forecasting, demand prediction, and shortage monitoring. The work involved creating new domain models, database schemas, and REST APIs to support these calculations, alongside migrating the build system to Gradle.

10 changes

ddd-by-examples/factory was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.