Brazilian children's apparel manufacturer modernizing production and supply-chain analytics
Grupo Kyly operates a mid-sized textile manufacturing operation in southern Brazil with production capacity of 1 million pieces per month. Their tech stack reveals a heavy dependence on SAP (S/4HANA, Fiori, ABAP) paired with emerging data tools (Python, Apache Airflow, Microsoft Fabric, Power BI), but pain points around legacy system integration and inaccurate cost calculations suggest the data layer is still catching up to operational complexity. Recent hiring acceleration in manufacturing and engineering—without corresponding data or finance staffing—indicates they're scaling production faster than their analytics infrastructure.
Grupo Kyly manufactures and distributes children's clothing from its headquarters in Pomerode, Santa Catarina. Founded in 1985, the company operates across retail, e-commerce, and franchising channels. The organization employs 1,001–5,000 people and runs its operations on SAP S/4HANA alongside growing use of Python-based data pipelines and business intelligence tools. Active projects center on lean manufacturing improvements, Power BI dashboard development, and process automation, though legacy system integration remains a bottleneck for cost visibility and inventory optimization.
SAP S/4HANA, SAP Fiori, Power BI, Python, Apache Airflow, Microsoft Fabric, QlikView, SQL, C#, ABAB, Adobe Creative Suite, GitHub, and Linux.
Lean manufacturing projects, Power BI dashboard development, Python data pipeline maintenance, and process automation to address cost calculation, inventory management, and legacy SAP integration challenges.
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