Supply chain modernization via data platforms and planning systems
HyLogic builds data infrastructure and process automation for supply chain transformation. The tech stack reveals a data-platform-first approach—Databricks, Kafka, dbt, Delta Lake across Azure and AWS—paired with active adoption of specialized supply chain planning tools (SAP IBP, Kinaxis, Blue Yonder). Hiring is heavily weighted to senior data roles, and projects cluster around real-time data integration and master data remediation, indicating clients in mid-to-large manufacturing and logistics face both technical debt and process fragmentation.
HyLogic is a supply chain consulting and systems integration firm founded in 2018, headquartered in Warsaw with active hiring in Poland, Indonesia, Malaysia, and Mexico. The company helps mid-market to enterprise manufacturers and logistics operators modernize their supply chain planning, demand forecasting, and data architecture. Engagement typically spans process redesign, data governance, master data cleanup, and implementation of planning platforms (SAP, Kinaxis) backed by lakehouse and real-time streaming infrastructure. The service model mixes consulting, SAP systems integration, and data engineering delivery.
Databricks, Kafka, Azure Data Factory, dbt, Snowflake, Delta Lake, SAP, Power BI, SQL, Python. Currently adopting SAP IBP, Kinaxis, Blue Yonder for specialized planning workloads.
Real-time and batch data integration, Databricks lakehouse architecture, SAP IBP and Kinaxis implementations, master data remediation, and modern supply chain planning process redesign for enterprise clients.
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