FreightWaves and Turvo Collaborate to Improve Shipment Planning Clarity and Simplicity
Anurag Khadkikar | May 28, 2021
Turvo, the world's leading supply chain collaboration application, announced a new collaboration and integration with FreightWaves, bringing FreightWaves SONAR data to the company's collaborative logistics platform. FreightWaves SONAR is the industry's most comprehensive freight data platform.
"COVID-19 blew up the system in terms of reliable historical data. It demonstrated how difficult it could be to make business decisions based on outdated information, "said Craig Fuller, FreightWaves' founder, and CEO. "Success in the supply chain is determined by the accuracy of your information and the speed with which you can act on it. SONAR provides near real-time data to the supply chain, allowing participants to navigate evolving markets more efficiently and successfully."
"We're excited to bring a greater level of actionable insight to our clients' supply chains," said Scott Lang, Chairman, and CEO of Turvo. "By incorporating SONAR's freight data into Turvo, our clients will benefit from timely, actionable insight as they manage and tender shipments. SONAR data will enable our clients to have a worldwide view of their operations, allowing them to analyze lane profitability and margins better, identify trends, and uncover opportunities to optimize their operations."
FreightWaves SONAR collects freight data from over 1,000 transportation and logistics sources, including IoT vendors, transportation management systems (TMS), telematics providers, on-truck sensors, payment providers, fuel vendors, third-party logistics providers (3PLs), shippers, and carriers, accounting for 85% of the market's electronic tenders. Significantly, most data in SONAR is based on what has happened in the market in the past 24 hours. This perspective provides SONAR with a near-real-time view of market circumstances based on data sets provided by TMS and telematics activities.
"Ultimately, we want to provide our clients with the best experience possible," Lang added. "That implies not just having the best data, but also having access to and analyzing it in a single place. Turvo's one-of-a-kind design unifies systems, data, and people in context, allowing customers to make better decisions."
Turvo provides the world's leading collaboration application for the supply chain. Turvo connects people and businesses, enabling shippers, logistics providers, and carriers to unify their supply chains, offer exceptional customer experiences, collaborate in real-time, and accelerate growth. The technology combines all internal and external systems, providing a unified end-to-end solution to perform all operations and analytics while reducing unnecessary manual tasks and automating business processes. Turvo's customers include some of the world's leading logistics service providers, shippers, and freight brokers, as well as Fortune 500 logistics services. Turvo is headquartered in San Francisco, with operations in Dallas, Texas, and Hyderabad, India.
FreightWaves is the world's leading provider of freight market forecasting, data, news, and analysis. Logistics and supply chain companies use FreightWaves for benchmarking, analytics, monitoring, and forecasting of pricing, capacity, demand, energy, and carbon intelligence. Through SONAR, a subscription SaaS platform and the world's most extensive streaming media network focused on logistics and supply chain information; the company provides the most up-to-date data and market insights.
FreightWaves SONAR offers 500+ enterprises with near real-time freight market data and supply chain intelligence.FreightWaves Carbon Intelligence provides supply chain firms with insight into carbon emissions and solutions to achieve carbon neutrality.
FreightWaves Media is the parent company of the FreightWaves, American Shipper, and Modern Shipper brands. FreightWaves Media's websites have over 1.5 million unique monthly visits, generate 15 million monthly minutes of streaming TV, and have 100,000 monthly podcast downloads.