OPLOG operates an international fulfillment network combining robotic warehouse automation with multi-carrier logistics software. The tech stack reveals a data-heavy operation: Databricks, Spark, Fivetran, dbt, and MLflow sit alongside core logistics services, with 14 active engineering and ops roles focused on robot uptime, real-time data streaming, and MLOps pipelines. ISO 45001/14001 certification work suggests operational scale and regulatory demands typical of automated warehouse networks.
OPLOG is a UK-based fulfillment-as-a-service platform for e-commerce brands expanding internationally. The company operates physical fulfillment centers across multiple geographies, handling inventory storage, picking, packing, shipping, and returns. The platform integrates with major parcel carriers and syncs with customer e-commerce and warehouse management systems. With 201–500 employees and headquarters in London, OPLOG has been operating since 2013 and is actively hiring operations, engineering, and data roles, particularly in Turkey.
OPLOG's stack spans data (Databricks, Apache Spark, Fivetran, dbt, MLflow), cloud infrastructure (AWS: EMR, Glue, Lambda; Azure), backend (.NET, C#, Entity Framework, PostgreSQL), and frontend (React, TypeScript, Flutter). Monitoring includes Grafana and Elasticsearch.
Yes. OPLOG has 14 active roles across operations (6), engineering (3), data (1), executive (2), finance (1), and support (1), with accelerating hiring velocity. Recent focus is hiring in Turkey.
Active projects include robot installation and uptime optimization, real-time data streaming architectures, MLOps pipelines, AWS-based data warehousing, core logistics orchestration services, API integrations with e-commerce platforms, and refactoring legacy systems.
OPLOG's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.