SimpleRose provides a cloud‑based optimization platform that uses mathematical modeling and AI‑driven solvers to generate feasible, cost‑effective schedules for supply chain, manufacturing, workforce, asset maintenance, and sports league operations. By ingesting real‑time data from ERP, IoT and workforce tools, the platform evaluates millions of configurations, offers interactive what‑if scenario planning, and integrates via APIs to reduce waste, improve service levels, and respond quickly to disruptions.
Funding
$23M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFounders
Product
Problem
Enterprises across supply chain, manufacturing, workforce management, asset maintenance, and sports leagues face highly complex scheduling and planning tasks that involve numerous interdependent constraints, leading to inefficient resource use, higher costs, and missed performance targets.
Solution
SimpleRose offers a cloud‑based optimization platform that applies advanced mathematical modeling and AI‑driven solvers to generate feasible, cost‑effective plans for these domains. Users upload real‑time data on demand, capacity, labor availability, and asset health, and the engine evaluates millions of possible configurations to identify the best schedule or allocation. The platform delivers actionable recommendations through an interactive dashboard, supports what‑if scenario analysis, and integrates with existing ERP, WMS, or scheduling systems via APIs. By automating the most difficult combinatorial problems, SimpleRose helps organizations reduce waste, improve service levels, and respond quickly to disruptions.
Target Audience
Primary customers include supply chain directors, manufacturing planners, workforce scheduling managers, asset reliability engineers, and sports league operations teams seeking data‑driven planning solutions.
Features
- Constraint‑based optimization engine capable of handling large‑scale, multi‑objective problems
- Real‑time data ingestion from ERP, IoT sensors, and workforce management tools
- Interactive scenario planning with instant re‑optimization for demand or disruption changes
- API and connector library for seamless integration with SAP, Oracle, and custom legacy systems
- Visual dashboard with Gantt charts, heat maps, and KPI tracking for plan validation and monitoring
- Cloud‑native architecture offering scalable compute resources and secure multi‑tenant data isolation