Data intelligence platform for retail brand monitoring and customer insights
RDSolutions aggregates online and in-store customer data across North America to surface brand-critical issues and competitive gaps for retailers. The tech stack reveals a multi-cloud, lakehouse-first architecture—AWS, Azure, GCP, Snowflake, Teradata, and Databricks—with active adoption of Azure DevOps and Kubernetes, suggesting a shift toward containerized, cloud-native data pipelines. Current hiring is concentrated in engineering and data roles (3 and 2 respectively) at lead and mid levels, reflecting focus on scaling ingest reliability rather than headcount expansion.
RDSolutions helps retail brands and retailers monitor customer experience across all touchpoints by combining web scraping, field observations, and first and third-party data into a unified analytics platform. The company serves mid-market and enterprise retail clients across North America, delivering real-time alerts on pricing, competitive positioning, and in-store execution. Operations center on Azure and AWS-hosted data pipelines (Databricks, Snowflake, Teradata) that process and model scraped and field-collected data for Power BI dashboards and custom analytics. The organization, based in Noida with 1,001–5,000 employees, is a subsidiary of Markel Group, a Fortune 500 conglomerate.
RDSolutions operates across AWS, Azure, and GCP. Core data warehousing runs on Snowflake and Teradata; ETL/ELT pipelines leverage Azure and Databricks; orchestration uses Apache Airflow and Prefect.
RDSolutions monitors retail brand health by aggregating web-scraped data, in-store field observations, and customer touchpoint metrics across North America. Outputs feed dashboards and alerts for pricing intelligence, competitive positioning, and customer satisfaction optimization.
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