BlackLocus is the leading provider of automated and optimized pricing tools for mid-market and large online retailers. By combining competitive pricing data from across the web with customers' online store data, BlackLocus delivers actionable recommendations on competitive pricing and assortment. Powered by top talent and research fromCarnegie Mellon University, BlackLocus deploys sophisticated machine learning and revenue management techniques in a pricing-as-a-service model, enabling retailers to price to win. BlackLocus is based in Austin, TX.

Analytics

Data

E-Commerce

Enterprise Software

BlackLocus

BlackLocus' headquarters in Austin, TX, United States

Sandy Donlon

Evan Li

Trey O'Connor, Ph.D.

Purnendu Kaul

Matt Salazar

Devin Orr

Alexander Galenko

The Data Analysis and Quality Team at BlackLocus is responsible for ensuring the integrity, accuracy, and actionable insights of competitive pricing data. They analyze complex datasets to uncover trends and drive strategic decisions while implementing rigorous quality control processes to maintain data reliability. This team collaborates closely with product development and business intelligence functions to enhance the effectiveness of pricing tools, enabling retailers to optimize their pricing strategies efficiently.

Data Analysis and Quality Team

The Data Science Team at BlackLocus leverages advanced machine learning algorithms and analytics to extract insights from vast datasets, focusing on competitive pricing and product assortment strategies. They develop and refine pricing models that provide retailers with actionable recommendations, driving revenue growth and enhancing market positioning. Through collaboration with other teams, they ensure that data-driven solutions align with customer needs and industry trends.

BlackLocus

Org chart

Teams

Data Analysis and Quality Team

Data Science Team

Offices

BlackLocus

Org chart

Teams

Data Analysis and Quality Team

Data Science Team

Offices

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