Omnichannel modest fashion retailer with eight brands across fashion and beauty
Modinity operates a multi-brand fashion and beauty retail group anchored by e-commerce and physical stores. The tech stack reveals a mature data and quality infrastructure: dbt + Airflow for pipelines, Cypress + Playwright for test automation, and observability tooling (Monte Carlo) for data freshness detection. Active projects around CI/CD quality gates and data sync failure alerting indicate engineering is tackling reliability gaps at scale, likely driven by high-traffic site performance demands and conversion bottlenecks.
Modinity is an Indonesian fashion and beauty retailer founded in 2015 that operates eight distinct brands positioned around modest, modern aesthetics. The company spans 201–500 employees across Indonesia and Canada, with a omnichannel footprint including hundreds of physical stores and a growing e-commerce presence. Beyond direct-to-consumer sales, the organization runs finance, supply chain, and manufacturing functions in-house. Current scaling priorities include ERP modernization (moving to Oracle Fusion), CRM strategy expansion, and platform infrastructure hardening to support traffic and conversion demands.
Frontend: React. Backend: Node.js, Python. Data: dbt, Apache Airflow. E-commerce: Shopify, Magento. Testing: Cypress, Playwright. CRM/ERP: Salesforce, HubSpot, Zoho CRM, Oracle (adopting Oracle Fusion). Analytics: Google Analytics, Tableau, Power BI.
Test automation frameworks (Cypress, Playwright), data quality and observability (dbt tests, Monte Carlo), CI/CD quality gates, ERP implementation (Oracle Fusion), CRM strategy, website performance optimization, and conversion rate improvements.
Other companies in the same industry, closest in size