Offerings
Ensure smooth freight movement across your railroad network
Overview
The Infosys Logistics practice leverages Industrial Internet of Things (IIoT) to develop smart railroad networks. We integrate real-time data from IoT sensors embedded in components such as brakes, wheels, engines, wagons, and rail tracks, with train control systems, freight information systems, and driver performance reports to boost the performance of enterprise and station-level functions.
An IIoT-enabled rail network rationalizes costs through predictive maintenance of assets, safe operations and energy efficiency. Our algorithms predict diverse variables, ranging from stress on rail tracks to wagon / tanker lifespan, to avoid interruptions caused by equipment breakdown, adverse weather conditions or non-availability of personnel. Further, predictive maintenance minimizes planned downtime while extending the life of rail infrastructure.
Our cloud platforms support the ingestion, processing and storage of data from IoT applications, enterprise systems and machine-to-machine communication devices for advanced analytics. Our analytical models and artificial intelligence-based systems consume enriched data for auto-correction of shipment schedules. Data visualization enables dynamic pricing of freight orders. Significantly, it aligns sales plans and network operations to ensure timely and damage-free shipment, even in extreme weather conditions.
A shared ledger ensures the use of reliable data across your railroad logistics ecosystem.
Talk to our experts
Point of View: Machine learning drives seamless logistics
Analytical tools help logistics providers aggregate global demand, while predictive maintenance of heavy equipment rationalizes warehousing and distribution costs.
Challenges & Solutions
Resource Center
Request for services
Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can serve you better.
