Drive efficiency in transportation and logistics with AI and analytics

Discover how ManoloAI delivers value across the entire value chain, optimizing operations for sustainable growth and enhanced efficiency.

Build resilient Transportation and Logistics systems using AI

ManoloAI helps build resilient transportation and logistics systems by leveraging advanced AI and analytics to anticipate disruptions, optimize routes, and improve asset utilization. Our solutions enable real-time monitoring, predictive maintenance, and agile decision-making, ensuring supply chain continuity even in dynamic environments. By integrating AI-driven insights across operations, ManoloAI empowers businesses to enhance efficiency, reduce costs, and maintain competitive advantage through smarter, more adaptive logistics networks.

What we do

Intelligent Freight Management

Integrate data from functions, business units, and external partners to deliver optimized carrier pricing, matching, lead generation, and bid analytics. This unified approach improves margins, reduces costs, and enhances network coverage for maximum operational efficiency.
Capacity Planning

Optimize resource allocation, simulation, scenario analysis, and network planning to ensure the right resources and infrastructure are in place, enabling efficient fulfillment of customer demand and maximizing operational effectiveness.
Dynamic Planning & Routing

Agentic workflows continuously adjust routing in real time by analyzing traffic, weather, and demand data. This adaptive optimization enhances delivery speed, reduces transportation costs, and improves overall logistics efficiency.
Asset Maintenance

Analyze real-time and historical data from sensors, telematics, and maintenance records to predict equipment failures and maintenance needs. By monitoring performance, temperature, vibration, and usage patterns, detect anomalies early and provide timely warnings to prevent downtime and reduce maintenance costs.
Proactive Issue Resolution:

AI agents monitor for anomalies and disruptions, triggering automated workflows to reroute shipments or reallocate resources proactively. This early detection minimizes delays, prevents bottlenecks, and maintains smooth logistics operations.