Hiroco provides an AI‑powered multi‑agent orchestration platform that automatically generates and continuously optimizes schedules for moving goods, vehicles, and people. The system models each resource as an autonomous agent, evaluates millions of task‑agent combinations, and recalculates plans in real time to minimize disruptions while respecting user‑defined constraints and priorities.
Funding
Funding not disclosed
Founders
Product
Problem
Supply chain and logistics operations often suffer from fragmented planning, leading to duplicated effort, inconsistent schedules, and costly disruptions. Inefficient coordination of goods, vehicles, and personnel results in significant waste and delays, with billions of dollars lost annually due to planning errors.
Solution
Hiroco offers an AI‑powered multi‑agent orchestration platform that automatically generates and continuously optimizes schedules for the movement of goods, vehicles, and people. The system models each resource as an autonomous agent and uses machine‑learning algorithms to find the most efficient routes and task assignments while respecting user‑defined constraints and priorities. When unexpected events such as delays or equipment failures occur, the platform recalculates plans in real time to minimize disruption. Users can configure the engine to reflect specific operational rules, capacity limits, and business objectives, producing clear, consistent schedules that are easier to maintain and scale.
Target Audience
Primary customers are logistics providers, transportation fleets, and supply‑chain managers in manufacturing, retail, and distribution companies who need to coordinate complex movements of goods, vehicles, and personnel.
Features
- AI-driven optimization engine that evaluates millions of possible task‑agent combinations to produce cost‑effective schedules
- Real‑time replanning capability that automatically adjusts routes and assignments in response to delays, cancellations, or demand changes
- Multi‑agent coordination framework that synchronizes people, equipment, and transport assets across distributed sites
- Customizable constraint and priority settings allowing users to encode capacity limits, service level agreements, and operational preferences
- Integrated dashboard that visualizes schedules, resource utilization, and disruption impacts for quick decision making