Supply Chain Visibility as a Service delivered in a standard feed.
Your clients count on you to provide efficient work flows, cost savings and secure and compliant solutions to manage their global trade and transport. Savi provides precise and constantly updating ETAs and deep analytics insights that enhance your on-demand software and can be easily embedded to your existing platform.
Add Value to On-Demand Apps
Estimated Time of Arrival (ETA) as a Service
The arrival of goods at a delivery point often trigger supply chain workflows. ETAs trigger downstream processes. Imagine if that ETA were 10x more accurate, constantly refined and automatically ingested by your app.
With Data, More Is Always Better
Savi can ingest billions of data points a day. Sensors, traffic, weather, crime, labor action, pricing can all be tracked. Powerful filtering and analytics can create alerts that highlight only what matters to your customers and feed it to your application.
Powerful Insights Enhance Your Product
Basic performance trends by carrier, route, distribution center or time. Sophisticated machine intelligence predicting high-risk locations, highlighting building port congestion or flagging unnecessary expedite costs. Insights on risks and opportunities add value for your customer. Add Savi Insights as a service to your offer to differentiate.
Real-Time In-Transit Visibility
Use multiple data sources to track the location and condition of clients’ shipments in transit, in real time. Exception alerts help you focus on the shipments at risk of delays, damage or other disruptions.
Supply Chain Insights & Analytics
Differentiate your offering for your clients’ unique supply chain with trends analysis and machine learning of route, threat and ETA data.
IoT Sensor Hardware
Use Internet of Things (IoT) sensors to collect accurate data in real time on the condition and location of your customers’ most critical in-transit shipments.
Key Case Studies
Challenge: A Global 50 Consumer Packaged Goods (CPG) company averaged 25,000 North American truck shipments per month. Because there was no system in place for real-time monitoring of inventory in-transit, operation team members were unaware of real-time disruptions, rendering them unable to avoid or mitigate late or non-delivery for their customers. A new strategic cross-docking […]
A Global 50 Consumer Packaged Goods (CPG) company averaged 25,000 North American truck shipments per month. Because there was no system in place for real-time monitoring of inventory in-transit, operation team members were unaware of real-time disruptions, rendering them unable to avoid or mitigate late or non-delivery for their customers. A new strategic cross-docking network was unable to realize high-efficiency targets because the inbound Estimated Time of Arrivals (ETAs) were inaccurate ─ reducing the number of goods that could be cross-docked. The Transportation Management System (TMS) and Enterprise Resource Planning (ERP) systems did not receive real-time information and rarely received shipment plan updates. As a result, this CPG company employed hundreds of people to make check calls to carriers, drivers, and customers to update ETAs manually. This manual process was time-consuming, error-prone, and latent. Often, disruption reports were received well after they occurred, leaving logistics teams unable to mitigate late delivery impacts.
Savi worked with this customer to implement Savi Visibility™, our live streaming in-transit tracking and ETA solution. The CPG company asked their truck carriers to send Electronic Data Interchange (EDI) and telematics feeds to Savi, while Savi set up an automated feed from and to the CPG’s Transportation Management System (TMS) to log planned shipments.
After ingesting the data from the carriers and the TMS, Savi’s massively scalable machine learning platform began to use Artificial Intelligence (AI) to build algorithms to much more accurately predict both inbound and outbound ETAs. The Savi Visibility user interface provides map, list, and reporting views of the real-time status of all shipments. Predictive alerts, such as “Trending Late” and “Trending Early,” were determined using customer-specific thresholds of time, distance, and amount predicted late. Predictive ETAs and alerts were sent to users and the Enterprise Resource Planning (ERP) system, enabling synchronization between TMS, Warehouse Management System (WMS), and yard management operations.
With a continuous live streaming view of all shipments in transit and real-time alerts for the 5-10% of shipments that required attention, the burden on operations diminished dramatically, making far fewer check calls necessary. Planners were able to focus on mitigating or avoiding disruptions of shipments that would otherwise have arrived late.
The substantially improved inbound ETA accuracy enabled more inbound loads to be synchronized with outbound shipments, increasing the percentage of loads to be cross-docked and reaching the original efficiency target of regional cross-docking centers.
In addition, the feed from Savi’s big data platform allowed the TMS to be continuously updated with accurate ETAs, rather than a static planned ETA or late and inaccurate EDI messages, keeping both the planning, operations, and customer teams up to date in real-time.
After the new system was implemented, the CPG was able to achieve:
- 22% improvement in cross-docking efficiency and orchestration
- 17x increase in ETA accuracy
- 350+ hours/week productivity gained per transportation lane
Historical and predictive analytics helped bring about additional transportation improvements. With a robust historical ETA data by lane, carrier and distribution center, and the Savi Insight platform, our customer was able to easily view aggregated performance and benchmark those areas to investigate possible improvements holistically.
Knowing the actual average ETAs and the likely variability gives the CPG company actionable insights about in-transit inventory levels, helping them to reduce safety stock or avoid stock-outs.
Finally, early outreach and collaboration with their customers when an unavoidable disruption occurs, as well as more accurate shipment ETAs overall, has brought improved customer satisfaction.
SGS is the world’s leading inspection, verification, testing, and certification company. With more than 70,000 employees and more than 1,350 offices and laboratories around the world, SGS is recognized as the global benchmark for quality and integrity. Savi has established a strategic exclusive alliance with SGS, one in which Savi provides the technology solution for their Omnis service offering. Savi Tracking is the technology “engine” that drives this solution—it allows governments and other organizations around the world the ability to track assets and verify the real-time status of goods and materials with minute-by-minute updates.
What was needed
SGS is active in many business arenas, including inspection and verification of goods in transit within national boundaries or across borders. To gain a competitive edge in its consignment verification and logistics security business, SGS sought to develop a new integrated logistics and tracking offering that it could add to its global services portfolio. A key requirement of the ground-breaking service was real-time asset-tracking and comprehensive journey monitoring. SGS believed that real-time end-to-end consignment tracking, combined with continuous cargo integrity monitoring, would be a market-leading offering; and would give them an inside track on new business, especially where customers were deeply concerned about the loss of valuable assets in transit.
SGS now delivers OMNIS, powered by Savi, a reliable solution to track freight movements using GPS, GPRS, and satellite technology that gives customers full in-transit visibility and real-time event management. Using Savi technology, OMINS monitors the precise location of a customer’s shipments at all times, automatically responding to unexpected or risky conditions with a wide range of alerts. In addition, the Savi platform allows for the creation of robust, customizable geo-corridors, which define a “safe zone” for shipments. Real-time alerts are sent to users if freight suddenly changes route, direction, or is delayed. With OMNIS, powered by Savi, SGS is beating the competition and winning new business in multiple geographies.
This global company employs tens of thousands of people in dozens of countries around the world, providing liquid and gaseous chemicals. It delivers advanced chemicals to customers by truck, rail and sea, to customers using state-of-the art ISO intermodal tanks, valued at more than $600,000 each.
Challenge: Managing Reusable Shipping Containers
This chemicals manufacturer maintained an inventory of over 200 reusable intermodal ISO tanks to fulfill customer orders. These containers, each valued at $600,000-$700,000, were heavily used assets, and were often critical path items when evaluating shipping and supply chain issues.
Utilization rates of these containers drive profitability. Company executives knew that to achieve the best results, they needed real-time understanding of container idle times and deviations from movement plans. Knowing container location was essential for business success.
Solution: Real-Time Tracking & Alerts
Savi delivered a complete visibility platform, designed to meet the specific tracking and reporting requirements of the company. The solution collected and consolidated real-time tracking data for the customer’s entire inventory of reusable containers. Also, the solution enabled complete route management and monitoring of containers to and from customer locations.
Savi presented the information to the company via dynamic real-time mapping reports and through tight integration with legacy reporting systems, providing an enterprise-wide understanding of overall shipping and business dynamics.
The platform also generates real-time alerts to inform decision-makers when containers experience any deviations from the shipment or movement plan. In addition, the Savi solution facilitates the presentation of cargo and shipment data to the company’s clients through externally facing reporting.
Results: Better Utilization & Lower Costs
With access to actionable sensor data and reports in real time, the company was able to achieve many business improvements, including:
- Better load balancing and container utilization
- Reduced costs
- Better understanding of shipment status
- Less exposure to costly expedited shipments and demurrage fees
- More accurate predictions of future container needs
The combined effect of these improvements also meant the company was able reduce how often it needed expensive short-term rentals of additional container capacity.
Externally facing reports helped customers make better decision and use of reserve stocks while waiting for deliveries, improving customer satisfaction. By implementing the Savi solution, the customer achieved greater profitability.