Store operations software for grocery fresh, inventory, and ordering
Upshop sells a unified store operations platform to grocery and retail chains, covering fresh production, inventory, ordering, and eCommerce. Its stack is polyglot and multi-cloud (C#, PHP, Node.js, Go on Azure, AWS, and GCP), and job posts stress e2e test automation across Cypress, WebdriverIO, and Karate to close thin test coverage. Early Cursor adoption and RAG usage point to AI moving into both forecasting and engineering workflows.
Upshop is a privately held software company headquartered in Austin, Texas, with roots going back to 1989. It provides SaaS tools for retail store operations, including fresh item management, production planning, inventory intelligence, AI forecasting, and food waste reduction. Its customers are retail chains, especially grocery operators running fresh departments and in-store kitchens. The company has 201–500 employees and is hiring in the United States, Canada, and the United Kingdom across engineering, sales, finance, and marketing.
Upshop builds with C#, React, PHP, TypeScript, Node.js, Python, and Go across Azure, AWS, and GCP. It also uses MongoDB, Azure Cosmos DB, Elasticsearch, Terraform, Datadog, Grafana, and Prometheus.
Job posts point to e2e test automation, observability and monitoring, AI-enabled forecasting workflows, a cloud-based microservices architecture, and driver-based financial models.
Upshop is hiring in the United States, Canada, and the United Kingdom. Engineering leads the mix, followed by sales, with smaller openings in finance and marketing.
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Upshop'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.