Earlier this week we announced that our Radar Track & Trace solution has updated its proprietary algorithms that predict estimated delivery dates and now offers additional alerting capabilities. Additionally, the tracking data is integrated with Intelligent Invoice Management (IIM) data to reveal the financial impact of the shipping service received. This data intelligence allows companies to manage their supply chains more effectively.
Financial Impact of the Service
Because Radar Track & Trace integrates its data with the carrier invoice in IIM, it provides analytics around the financial impact of the service and related upstream data about the service itself. It answers the questions: When was the order was placed? Planned? Tendered? When was the pickup requested on the tender? Other solutions are only able to provide information around what the carrier was doing: When did the carrier pick up the order? Did an exception occur in transit? Was the customer ready for the delivery when it arrived?
Monitoring the Order Before Pickup
The track & trace solutions that most companies are looking for are focused on supporting on-time deliveries to the consumer. To deliver a shipment to the consumer on-time, it must leave the facility on-time so track and trace is used for alerts around missed pickups. This reminds me about my days as a kid growing up in Chicago. We would ride the “L”, and the train was almost always on-time. What caused me to be late is if I was late in getting to the train. Once I was on the train I made it to my destination in the same amount of time as always, i.e. my transit time was always the same. So, when I would arrive late to my destination, everyone always assumed that I was late in getting to the train, i.e. I missed my pickup, but every once in a while, it was caused by the trains running behind. It’s important to diagnose the real issues on each shipment so you can deliver what your customer is expecting.
Unlike the other tracking solutions, Radar Track & Trace starts monitoring the progress of an order before it is picked up by the carrier and alerts customers if the order is in danger of being late. Once the carrier picks up the order, the shipment could already be late even though the carrier delivers it within their normal timeframe. Radar Track & Trace data is integrated with the customer’s TMS planning function, so it can see if the carrier pickup date and the service or mode selected will allow the shipment to meet the Must Arrive By Date (MABD). If there is an issue, Radar Track & Trace proactively identifies the most cost-effective way to expedite the shipment with service and mode-specific recommendations to prevent a late delivery. This early monitoring lets a company understand the real reasons why they missed their MABD and had to expedite the order.
45 Days to Better Tracking and Analytics
Many companies are surprised to learn that they can get a lot more out of a tracking solution than alerts. In addition to alerts, Radar Track & Trace provides context to the “dots” on the map. Because our integration and cleansing engine pulls the order, item, and shipment information together along with achieving 100% carrier onboarding, you have the complete visibility to not only avoid late shipments but to understand what’s really going on in your supply chain. With more insightful analytics, you can make better decisions more quickly, especially because you can be up and running with RateLinx Track & Trace in just 45 days. This means the real problems causing late shipments and reducing efficiency can be quickly identified. Here’s an example:
How Radar Track & Trace Delivers Results for Our Clients
One of our customers had a persistent problem with late shipments that appeared to be caused by a particular carrier. We worked with the customer to diagnose the problem using the Radar Track & Trace data integrated with IIM to answer when the order was placed, planned, tendered, and when pickup was requested. What we found was the original tender record was being rejected by the primary carrier and the customer was using a manual process (email and phone calls) to find another carrier to cover the load. The time it took for the manual process to occur was causing the shipment to be late before it even left the dock.
Once we used integrated data from Radar Track & Trace and Intelligent Invoice Management to diagnose the problem, we were able to develop and deploy a solution by leveraging the Auction Module in ShipLinx to augment their current TMS. ShipLinx would monitor the tender records and, once a rejection was received from the primary carrier, the shipment went out to the customer’s other carriers using the same pickup date. This automated process reduced the customer’s previously manual process time to zero, which eliminated the late shipments. This is a great example of how the data was used to diagnose the real problem and develop a strategy that when deployed solved the problem.
Data-first Approach Tackles Problems
Our data-first approach helps our customers tackle their most pressing supply chain and transportation management problems. If you’d like to speak with me about how RateLinx can help you get a complete picture of your supply chain, send me an email and we will get the conversation started. You can also click below to subscribe to our blog, where I post regular updates on our tracking solution and other data services.