Powering Retail Big Data Engine for Cross-Industry Insights

Built horizontal big data pipelines for leading Consumer Packaged Goods (CPG) Data firm from NY. Sysvine engineered the scalable cloud Hadoop platform that ingests multi-terabyte data streams daily from 1,100+ retail partners (covering 3.3 million stores). We integrated diverse sources – POS transactions, consumer surveys, e-commerce sales – into a unified Azure data lake, using Hadoop, Spark, and Kafka. AI-driven ingestion and classification models automatically clean, impute, and categorize data through complex enrichment stages e.g. product categorization, cache generation for downstream use. Our team handled end-to-end architecture, development, QA, automation, and MLOps, ensuring reliable data flow within strict SLAs (e.g. 99% on-time delivery and high data accuracy). This robust infrastructure powers customer’s Intelligence Suite, enabling cross-industry insights and rapid, AI-powered analytics. Today, this foundation serves over 7,000 global clients with the most complete view of consumer behavior, empowering confident, data-driven decision-making.