Unified planning and execution platform for retail operations
Dataviva bridges planning and execution for retail enterprises by collapsing the gap between strategic intent and operational reality. The stack—Python, SQL, Kubernetes, Jenkins, Prometheus—reflects a data-intensive, real-time systems focus. Active hiring concentrated in engineering with mid-level depth suggests iterative product hardening rather than greenfield scaling; pain points center on data manipulation, system tuning, and incident response, indicating the platform is moving from early reliability into production optimization.
Dataviva provides a unified operations platform for retail enterprises that integrates planning, forecasting, orders, and pricing into a single live system. Founded in 2020 and based in Atlanta, the company serves mid-market and enterprise retailers looking to eliminate manual reconciliation between planning systems and ERPs. The platform operates across merchandise financial planning, demand forecasting, inventory optimization, and autonomous decision delegation. Core capabilities include ML-driven demand forecasting for new inventory with zero historical data, real-time disruption sensing, and direct linkage of planning logic to execution workflows like purchase orders and allocations.
Python, NumPy, Jupyter, SQL, Kubernetes, Jenkins, GitHub Actions, AWS, GCP, Azure. Monitoring and observability via Prometheus and Grafana. Project management via Jira and Confluence.
Atlanta, Georgia. Founded in 2020, the company is privately held with 51–200 employees.
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