GPU-Accelerated Analytics for Logistics
GPU Acceleration Changes the Game for Analytics for Logistics
Ideal for Streaming Data
Webinar : GPU Acceleration in Retail and Logistics
Kinetica’s Mark Brooks (Principal Systems Engineer), and NVIDIA’s John Barco (Senior Director of Partner Solutions), share how manufacturers are gaining real-time visibility across the supply chain for advanced transportation analytics, real-time route planning and optimization, and inventory optimization.
Real-time Analytics in Logistics and Supply Chain
Advanced Transportation Analytics
Transportation agencies and authorities generate terabytes of data from an array of sensors and operational systems, but until recently, these data sources were not connected. Today, the challenge is figuring out how to use the data effectively. The data that’s continually produced by these agencies contains unprecedented potential for deriving insights that inform planning activity and aid in managing transportation networks, improving operations, reducing costs, and better serving travelers. Kinetica’s GPU-based architecture and advanced geospatial analysis enable you to act on real-time transportation data in order to:
- Optimize freight movement and routing
- Optimize inventory management and capacity
- Optimize fleet operations
- Improve customer experience
- Increase safety
- Reduce environmental impact
- Optimize transit schedules based on predicting the impact of maintenance, congestion, and accidents
Route Planning and Optimization
Kinetica is able to ingest fast moving data from sources such as vehicles, location, sensors, personnel, weather, traffic, demand, and supply for more efficient management and deployment of assets. Get point-and-click access to a wide range of analytics such as machine learning, deep learning, and OLAP to discover and act on insights in real time. These insights can power data and analytics-driven fleet and personnel scheduling, route planning, rerouting, and supply chain optimization, which saves you time, reduces fuel and overtime costs, and improves customer experience
Logistics organizations are optimizing delivery routes based on real-time data streams from their trucks and scanners, combined with datasets such as live traffic and weather information.
Condition-Based Equipment Maintenance
Kinetica can simultaneously ingest, analyze, and visualize real-time sensor data from assets such as aircraft, cars, trucks, and ships. It can combine fast-moving sensor data with data at rest such maintenance schedules to provide you with contextual insights into the condition of your assets. Predictive analytics can be performed on this data in real time to monitor the condition of the asset including detecting patterns, anomalies, identifying deteriorating performance, and future failures. These data-driven insights enable you to proactively maintain equipment, improve fleet productivity, and avoid costly downtime.
Just-In-Time Inventory Optimization
Enterprises need real-time insights into logistics and transportation systems to view and track deliveries targeted for stores. Kinetica provides real-time, customized, location-based insights into the logistics, distribution, and transportation operations for just-in-time inventory management. Build inventory systems that can react swiftly to a variety of data feeds to make up-to-the-minute routing and inventory decisions. Analyze data about customer sentiment to inform inventory management supply chain decisions.
Retailers have discovered that the more they can make data fast, actionable, and intelligent, both from data at rest and data in motion, the more likelihood they’ll be able to build a long-term relationship with a customer. Retail and CPG organizations are turning to Kinetica to shorten data processing time, visualize more data, and uncover patterns to reveal new knowledge and insights in sub-seconds.
One such example is a retailer who deployed Kinetica to fuse their transaction data with their inventory text descriptions. With just two queries, the retailer was able to get an idea of where their highest organic food product sales were occurring throughout the nation. The retailer could then create targeted and customized fulfillment strategies by store.
Kinetica can be used by retailers to perform a multidimensional query on “product category x” sales on the map. You can easily drill town to any geographic area for enhanced detail. And you can slice and dice your data without having to redesign it or de-normalize the data; Kinetica provides the compute and analytic capability without having to change your data model.
Related Resources for Logistics
Discuss Logistics Use Cases
Chat with one of our industry specialists for more in-depth use-cases and examples of how Kinetica is being used for supply-chain and logistics today.
Contact us, and we can also walk you through a demo, and set you up with a trial environment for you to experience it for yourself.