Rome AI builds a live, contextual model of a company’s supply chain by ingesting and normalizing data from ERP, APS, logistics platforms, and external sources. Its autonomous AI agents continuously monitor plan execution, automatically update parameters in enterprise systems, and correct deviations in real time, eliminating manual reconciliation and busywork. This enables planners and operations teams to focus on strategic decisions while improving flow, reducing safety buffers, and increasing supply‑chain resilience.
Funding
Funding not disclosed
Founders
Product
Problem
Supply chain planners spend extensive time reconciling data across ERP, spreadsheets, and portals, reacting only after execution drifts cause disruptions. This manual firefighting leads to costly safety buffers, delayed shipments, and reduced resilience.
Solution
Rome AI creates a live, contextual model of a company’s supply chain by ingesting and normalizing disparate data sources. AI agents use this model to continuously monitor plan execution, automatically update parameters in APS, ERP, and logistics systems, and correct deviations in real time. By automating routine checks, reconciliations, and plan adjustments, the platform frees planners to focus on strategic decisions. The result is a self‑adjusting supply chain that reduces the need for safety buffers, accelerates flow, and improves overall resilience.
Target Audience
Primary customers are supply chain planners, operations managers, and logistics teams at manufacturers, distributors, and large enterprises that rely on APS/ERP systems for execution.
Features
- Multimodal AI models that fuse data from ERP, APS, logistics platforms, and external sources into a unified, real‑time supply‑chain representation
- Autonomous agents that execute and adjust plans, pushing updates directly into existing enterprise systems
- Automated detection and correction of execution drift, eliminating manual data reconciliation
- Continuous monitoring and alerting to prevent issues before they impact operations
- Scalable architecture designed for volatile, high‑complexity global supply networks