InBound Technologies chose to embed our BI solution into their DockLink application, which helps organizations manage operations at loading docks.
It’s interesting to see how data analytics helps track of what’s coming into warehouses and stores. When you see trucks pulling up to loading docks at local warehouses you probably don’t think too much about what happens when they pull up. It’s hard to believe how recently operations managers at some warehouses were still using clipboards and maybe a spreadsheet to not only track the loads that were accepted but also what happens when something was rejected for spoilage or damage.
Now customers who handle their own unloading and use analytics in DockLink provided through integration of embedded BI help InBound’s customers see a 30 percent efficiency increase, on average.
“InBound customers want to create reports and dashboards in real-time as part of their daily workflow so they can analyze and explore the data to manage their loading docks more efficiently.”
InBound’s vice president of business development, Ryan Howard, explained how their customers want software that can be used at the docks on tablets and other mobile devices. “They want to create reports and dashboards in real-time as part of their daily workflow so they can analyze and explore the data to manage their loading docks more efficiently.”
The Analytics Challenges of Loading Docks
Howard called loading docks a “black hole” for information before analytics was adopted in software such as DockLink. Every organization involved in a load from the trucker to the unloading service and finally to the warehouse receiving the load had its own software, with everybody recording different data under different parameters. The warehouse had to manage a Frankenstein-like system, attempting to patch together all of these sources when the different companies were willing to share data. Now they can collect all of their own data, and check out comparable loads to estimate unloading times and prices. Labor cost savings reached as high as 40 percent.
Izenda’s embedded BI solution enables DockLink users to meet those challenges. So instead of it taking as much as weeks for a spoilage report to reach the proper person in accounts payable, an operations manager can share that information on the same day. The organization will get a credit or a refund as a result, something that often was impossible when too much time had passed.
BI Produces Cost Savings for Customers
But the big savings come for businesses such as Target, which realize savings through efficiency and labor costs reductions. Target and other customers don’t accept a load until it’s unloaded onto their docks exactly how they want it placed. So the delivery agent has to pay for the unloading. Bringing those operations in-house have helped DockLink customers increase net revenues by at least 20 percent.
We welcome our new friends at InBound Technologies to modern, embedded BI and analytics.