Revenue management and trade promotion software for CPG brands
UpClear builds BluePlanner, a revenue management platform for consumer goods companies managing annual operating plans, account strategies, and trade spend. The tech stack is modern data-heavy (Snowflake, dbt, Databricks, Azure Data Factory, Apache Airflow) paired with full-stack web (Angular, React, TypeScript, .NET), pointing to an architecture built around data pipelines and analytics—matching their active work on scalable data infrastructure and governance frameworks. Hiring is engineering-focused (3 of 8 open roles) with senior-leaning seniority mix, signaling they're scaling product velocity rather than sales.
UpClear serves mid-market to enterprise consumer goods brands across North America and Europe, offering a unified platform for revenue planning, trade promotion management, and sales forecasting. BluePlanner consolidates data from disparate sources into a single source of truth, automating workflows from annual planning through account execution and enabling brands to track trade investment ROI. The company operates service teams in New York, London, Paris, and Singapore to support client implementations and ongoing optimization. Their customer base spans established CPG leaders and emerging challenger brands across confectionery, beverages, bakery, and specialty foods.
UpClear's core stack includes Snowflake and Azure for data warehousing, dbt and Apache Airflow for transformation pipelines, Databricks for analytics, and Angular/React/TypeScript/.NET for the application layer. Tableau and Power BI provide reporting and visualization.
Current projects include scalable data architecture and pipeline work, data governance framework implementation, data visualization infrastructure, and ongoing BluePlanner feature deployments and client implementations—reflecting investment in platform stability and analytics capabilities.
UpClear'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.