Why Not IoT? Series

Part 5: Why Not IoT?

Savi’s Unique Solutions Addressing IoT

In our blog series, “Why Not IoT?” we’ve been discussing how IoT technologies have the potential to change the way that businesses operate in ways we haven’t imagined. We’ve discussed the growing complexity of supply chains and the common challenges across every industry, such as theft, staffing shortages, unpredictable arrival times, and, as a result, difficulties in logistics planning. More so, we’ve learned how IoT and analytics work to turn raw data into operational intelligence.

In this culminating post to our blog series, we would like to share new market intelligence that confirms the impressive influence that IoT technologies are expected to have on supply chain operations.

IDC, a premier global provider of market intelligence for supply chain and technology markets, has defined IoT-enabled analytics as a new market that will continue to drive unforeseen operational benefits in the supply chain. In their new whitepaper, IoT-Enabled Analytic Applications Revolutionize Supply Chain Planning and Execution, IDC explains that intelligent devices and sensors will be a major source of data in the supply chain. Unfortunately, as we have learned in part 4 of the blog series, raw data is riddled with duplicate, corrupt, and incomplete messages, and only an advanced analytics solution will be able to handle supply chain challenges quickly and efficiently.

IDC believes this is only possible by leveraging new Internet of Things (IoT) technologies by stating, “Fortunately, forward-thinking innovative companies have developed purpose-built supply chain visibility solutions, leveraging IoT technology, to finally achieve the requisite layer of visibility into the supply chain.  For the first time in history, complex global supply chains have the capability to connect with their products and processes to achieve new levels of supply chain visibility.” Savi Soultions Blog 5

We are proud to say that Savi is one of these companies. Our solutions are built on 25 years of in-transit data expertise. Savi’s Hybrid Lambda Architecture incorporates big data scalability, processes complex event in sub-seconds, intakes any sensor data, and self-learns to model recommendations with more data. By applying big data technologies to machine-generated data, our analytics solutions provide all partners in a supply chain several key types of intelligence, such as true visibility, accurate estimated time of arrivals, risk identification, predictive and prescriptive modeling to anticipate supply chain changes, and insight into improved operational processes.

Take a moment to learn how two Savi clients have benefited from our IoT-enabled analytics solutions.

Estimated Time of Arrivals (ETA)

A CPG leader we work with had invested millions in traditional solutions, such as warehouse and transportation management systems, several consulting and technology providers. In the end, they were still left with relying on employees’ manual updated and drivers to be their eyes and ears for precise ETA. Working with Savi, they had a live solution in six weeks that pulled in telematics and sensor data that was already being collected. They rolled out Savi solutions to highly-transited lanes, which is about 85,000 shipments weekly. We beat driver and even planned ETAs, saved 700 hours between factory and distribution, improved cross docking and arrival times. Most importantly, the company built these business outcomes into new competitive processes.

Visibility and Risk Management

One of the world’s leading biotechnology companies, with focus on developing therapies for multiple sclerosis, hemophilia, and other autoimmune disorders, needed true end-to-end supply chain visibility. With individual shipments worth 20-30 million dollars, supply chain performance and visibility is of utmost importance. Despite this, they did not know the current routes taken between origin and destination sites and, consequently, they were unaware of specific areas of risk or loss.

Using our unique solutions, Savi was able to identify and monitor the location and status of their goods. We created origin and destination sites, corridors, and shipments to provide the customer true, real-time visibility. Savi generated alerts to improve performance and reduce risk regarding scenarios that were important to their mission, such as alerts for deviating from corridors and alerts for tampered tags at unauthorized locations. Our analytics solutions analyzed routes they drove, where they stopped, stop duration, and risk events on particular routes in order to obtain insight into actual routes to optimize performance, gain better understanding of risk areas, and identify trends to allow more proactive decisions and eliminate problems.

In sum, Savi, in agreement with IDC, believes that with a purpose-built, IoT-enabled analytics solution, all partners in a supply chain will obtain several key types of intelligence, such as true visibility and accurate estimated time of arrivals, risk identification and avoidance, predictive modeling to anticipate disruptions.

To learn how you can use IoT technologies to improve your supply chains, download the white paper, IoT-Enabled Analytic Applications Revolutionize Supply Chain Planning and Execution. In it, IDC details additional industry-specific use cases and their resulting benefits.

To read more about Savi’s unique solutions, check out our learning library.