Enterprise-ready engineering delivery. Since 2016.
AI & automation · Commerce operations
Sevendyne built an e-commerce operations engine with AI-assisted catalogue ingestion—Rails and Python pipelines that turned heterogeneous product data into repeatable operator dashboards instead of manual spreadsheet wrangling.
Operators needed catalogue intelligence at scale: extract, transform, and present e-commerce data from heterogeneous sources with cost-controlled AI-assisted ingestion and a maintainable back office beyond template storefronts.
We delivered a Ruby on Rails dashboard for operator workflows, Python scripts for extraction, transformation, and scraping orchestration, and OpenAI-assisted parsing where structured prompts outperformed brittle selectors alone. SQL Server backed efficient storage and reporting; complementary Spree/Rails marketplace patterns supported AI catalogue import with background jobs and governed release milestones.
Sevendyne delivered a year-long programme with sustained Rails + Python pod delivery—giving operators a custom back-office engine and AI pipeline pattern for teams outgrowing off-the-shelf commerce tooling.