Omnichannel supply chain software for fulfillment, planning, and 3PL operations
Deposco builds a modular supply chain platform spanning warehouse management, order orchestration, demand planning, and 3PL fulfillment. The tech stack (Python, Java/Spring, Angular, Kubernetes, MySQL) and active projects signal an engineering-led pivot toward real-time data pipelines and generative AI features—moving beyond traditional WMS boundaries into supply chain intelligence and automation. Hiring velocity is accelerating with a senior-weighted engineering mix (5 of 10 roles), typical of a company scaling complexity rather than headcount.
Deposco delivers an integrated supply chain software platform for mid-market retailers, DTC e-commerce brands, and 3PL operators. The platform consolidates warehouse management, order management, demand planning, and fulfillment orchestration in a single pane. The company operates at significant scale—4,000+ customers managing $50 billion in annual sales and 165 million consumer orders—and runs a SaaS model with pre-built integrations designed for rapid customer onboarding. Headquarters in Alpharetta, Georgia; current workforce is 51–200 employees.
Python, Java/Spring, Angular, Kubernetes, Docker, MySQL, Salesforce, and Jenkins. The stack reflects a microservices-ready backend with distributed containerization and a modern web frontend.
Yes. 4 of 10 active roles are engineering positions, with 5 senior and 4 mid-level roles across all departments. Hiring velocity is accelerating, all positions are in the United States.
Supply chain intelligence solutions, real-time data processing pipelines, generative AI features, and Bright Suite implementation. Internal focus includes AI tooling for automation and scalable mission-critical web applications.
Deposco'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.