SONAR SCI (supply chain intelligence) is a groundbreaking data and analytics platform with all of SONAR’s features and data – and more. SONAR SCI subscribers have access to existing SONAR data, including $80 billion of paid freight invoices to aid in mitigating freight market volatility. These invoices are submitted every evening and are what shippers actually pay carriers, not self-reported data. They are also broken down by industry-specific cohorts. This data complements SONAR’s near-real-time freight contract tender data, which is why SONAR Is the most accurate and representative freight analytics platform on the planet.
Get real-time contract freight rate data.
Subscribers to SONAR SCI will also receive new data and features, including first-time access to actual paid rates (paid data sources valued at $80 billion that are leveraged inside the platform). The SONAR SCI release can certainly help brokers and carriers, but should be of particular use to shippers. Also, SONAR SCI’s datasets are focused more on the contract freight market rather than the spot freight market.
When users upload their historical shipment data via a pre-formatted CSV file or integrate their transportation management system (TMS) via API, key data is pushed into the SONAR SCI ecosystem, allowing users to look at lane-by-lane data in overview or within a drill-down functionality via the SONAR SCI UI or in their own screens in ways never before available.
SONAR SCI helps users benchmark, analyze, monitor and forecast their freight spend when conducting freight contract negotiations for longer-term freight RFPs. And for the first time, subscribers will be able to benchmark their data more comprehensively against their peers. Also like SONAR, this beta release will become much more robust over time.
Deeper insights with Lane Acuity.
SCI’s Lane Acuity provides users deeper insights into a lane. Users can score, measure and benchmark Lane Stability and pricing, handle existing RFPs or those out-for-bid, and stay strategic in terms of lane execution inside of a supply chain. Lane Acuity looks at a lane by mode inside a transportation sector.
Using the lane upload feature, a user inputs a target benchmark rate, which is the impetus for nearly all the scores that SONAR SCI provides.
In regard to analytics, Lane Acuity scores a lane by pricing, competition and mode; that score will evolve over time (at launch, 1 to 100). A lower SCI score, such as 30, indicates to the user how difficult it will be to get a lane covered at the user’s desired benchmark rate, whereas a higher SCI score, such as 70, indicates to the user that it is more likely to get that lane covered at the desired benchmark rate target.
Benchmark with Lane Acuity.
SONAR SCI’s Lane Acuity can show how a user’s targeted benchmark rate compares to the industry, the overall market, peers, and at a pricing level.
Both SONAR and SONAR SCI contain proprietary data that comes from actual load tenders, electronic logging devices and TMS, along with dozens of third-party global freight and logistics-related index providers like TCA Benchmarking, Freightos, ACT, Drewry and DTN.
Confidential and proprietary data from industry peers – including paid data valued at $80 billion – is a key component of SONAR SCI. This data is not available anywhere else.
Quick facts about rate data.
- Several hundred shippers
- More than 11,000 carriers
- 2 trillion pounds of freight
- 75 million unique shipments
- $80 billion of paid freight spend
- 38 billion miles of transit
- Date is broken down into industry cohorts called “peers”
- Example: An auto manufacturer has a different supply chain than a big box retailer. With SONAR SCI, users can compare specific industry rate and demand dynamics instead of using a general market overview.
- When the data is combined with SONAR’s tender data, the map of the market and industry-specific dynamics become immediately visible.
Guidance for RFPs and existing bids.
Using a number of proprietary data sources, SONAR SCI provides critical information to help guide day-to-day, short- and long-term RFP decisions, as well as identifying issues within existing bids. It shows benchmark rates from peers/cohorts, market rates (from SONAR) and the shipper’s/user’s historical rates when SONAR SCI is connected to a system that has their rate data, such as a TMS.
Key advantages for shippers.
SONAR SCI provides unique methods for shippers to gain visibility into their transportation spend – and to manage it more effectively. By using SONAR SCI, subscribers can identify issues inside existing lanes, as well as guiding RFPs. SONAR SCI will particularly benefit shippers in specific industries like automotive, CPG, retail, manufacturing, and more. This unique platform can change how shippers view operations and make decisions. And while SONAR SCI contains massive amounts of data, it is presented in an easy-to-use, easy-to-understand dashboard.
SONAR SCI provides near-time data (less than 24 hours old) at “rocket speed.” In addition to near-time data, SONAR SCI provides context regarding rates by lane. Users can benchmark, monitor current rates, analyze historical rates and enhance performance, market intelligence and service levels.
Built for same-day use by every shipper.
Using a number of proprietary data sources (including first-time access to paid data sources valued at $80 billion that are leveraged inside the platform), SONAR SCI generates critical information to help guide RFP decisions. It provides data from the market via SONAR, industry peers and the freight party’s historical data ingested by SONAR SCI through manual upload of shipping data via a pre-formatted CSV file. When a subscriber signs up for SONAR SCI, it can be used immediately. The beta release also has an API option.
Sophisticated but simple, SONAR SCI empowers its users with actionable, near-real-time data, insights and intelligence at a speed currently unavailable in the industry, updating nightly based on new data. SONAR SCI provides a new realm of performance and operations management.
SONAR SCI provides critical data regarding lane volatility at both origins and destinations. It also provides historical data on tender rejections, seasonality and overall market size (volume).