GPU-Accelerated Analytics for Logistics

As the volume of machine data in supply chain and logistics increase, new opportunities arise to improve efficiency and customer experiences. Kinetica, a GPU-accelerated database, makes it possible for logistics organizations to interactively derive insight from vast volumes of streaming data. Use Kinetica for truly real-time analytics demands including inventory optimization, route optimization, and transport analytics.

GPU Acceleration Changes the Game for Analytics for Logistics

10x-100x faster query on 1/10 the hardware, compared to even the most advanced in-memory analytics systems.

Lightning Fast Query

In tests, Kinetica returns results for advanced analytical queries on billions of rows of data in well under a second.

Ideal for Streaming Data

Parallel ingest and reduced reliance on indexes means data on Kinetica is available for query the moment it arrives.

Augment BI

Business users can easily write queries with SQL, integrate Kinetica with logistics BI tools (Tableau, Halo) or access via a comprehensive set of APIs.

Geospatial Visualization

Visualize patterns on geospatial and temporal data. Kinetica harnsses the GPU for query and drawing geospatial display of vast volumes of data.

Real-time Analytics in Logistics and Supply Chain

Kinetica provides logistics professionals with deeper, faster actionable insights into operations, customers, and markets.

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

Real-time Route Planning and Optimization

With Kinetica, you can optimize routes in order to save millions of gallons of gas for delivery trucks. You can re-allocate resources on the fly depending on personnel, environmental, and seasonal factors. Kinetica can be used in real-time dashboards that are driven by sensor data about the location of delivery vehicles and carriers. If you want to visualize your logistical data, you can use Kinetica's visualization tools to render large volumes of data on the fly, which are particularly well suited for fast moving, location-based IoT data.

Logistics organizations such as the United States Postal Service (USPS) 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. For further details on how the USPS is using Kinetica to track the location of employees and 500 million pieces of daily mail in real time, read USPS Deploys Kinetica to Optimize its Business Operations. The implementation of Kinetica is expected to save the USPS millions of dollars in the years to come, and help them deliver more sophisticated services, achieve more accurate tracking capabilities, ensure safer, on-time deliveries, and drive efficiencies to operations. As a result of their work for the post office, Kinetica and NVIDIA earned the HPC Innovation of Excellence award from IDC.

Inventory Optimization

Retailers often find themselves caught off guard when the spike in the demand of a particular product is so intense, and happens so quickly, that they’ve been forced to deal with out-of-stock inventory situations. Retailers want to be able to build inventory systems that can react as quickly as possible to a variety of data feeds so they can make up-to-the-minute routing and inventory decisions. In addition, retailers want the ability to analyze external data feeds about customer behavior sentiment, which can drive 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.

Redesign your business without redesigning your data

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.

RECENT WEBINAR : Kinetica in action for supply chain and logistics use-cases... more » View Recording

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.