Retail pricing and operations platform for fuel and convenience stores
PriceEasy builds a data-driven operations platform for fuel and convenience retail, with product depth across pricing automation, ESL execution, site selection, and back-office workflows. The tech stack (AWS, Spark, Snowflake, Python, Redis) supports large-scale data processing—critical given their pain-point focus on scaling data solutions and handling large datasets. Hiring velocity has decelerated, but sales and marketing roles dominate the active pipeline, suggesting a go-to-market push against long sales cycles and missed pricing opportunities.
PriceEasy provides a retail intelligence platform for fuel, convenience, and multi-site retail operators. The product spans five core modules: competitive and elasticity-based fuel pricing, in-store pricing with electronic shelf labels, conversational AI for operations, site selection and trade-area analytics, and back-office operations tools. Built on AWS and Snowflake, the platform processes retail data to optimize pricing, reduce manual work through automation, and improve operational consistency across store networks. Founded in 2020 and based in Houston, the company operates across North America, Europe, and Asia, serving single-store operators through enterprise fuel and convenience chains.
PriceEasy runs on AWS, Apache Spark, Hadoop, Snowflake, and Redis for data processing and storage. Python and SQL power analytics and automation; Salesforce and HubSpot handle CRM and marketing ops.
PriceEasy serves retailers across the United States, Europe, and Asia, ranging from single-store operators to enterprise fuel and convenience chains.
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