We can examine the Ivinex cadence engine to measure how these six factors come into play with various use cases in the industry.
For example, let’s look at an RMA (return material automation) as a standard process for automation. Since the RMA is a three-step process for most companies, we can break it down into those actions.
First, we need the agent or employee to mark the RMA as started, which triggers the return packaging and instructions sent to the customer. Another order is made to replace the incorrect items if needed.
The second part of the return is the employee who receives the item at the warehouse. This employee could log in to their phone to update Ivinex, or simply use text messaging to close out the RMA ticket.
For the last step, accounting would need to verify that the return was completed and balance the ledger.
So, what are the benefits of automating the example scenario?
- With three people being assigned child tickets in this use case, there is a very low margin for human error. Since each department is depending on the other, the platform can notify them all that tickets are still outstanding.
- When the agent or employee selects and confirms the RMA process, he or she has just kicked off 20 or more steps with a single click.
- Management will have the capability to see RMAs in the queue, and they will get pop-up notifications of RMAs that have been sitting for too long in the queue. A simple Kanban or KPI dashboard, or a combination of both, will show the manager what he or she needs to see.
- Since everything in the automation engine is templated to the exact scenario, the customer will receive the right messages regardless of the order status. For example, if they are merely returning an item, then the messaging will speak to the return, but if it’s a return and replacement, then the messaging will go out appropriate to those selections.
- All of the agent or employee choices dictate how the automation runs, and each automation action can be altered as the business needs them to adapt.
See how our UUE Process Automation can work for you
Now we have illustrated how process automation can make things better, but what about automation that is too complex?
Since Ivinex uses business logic and adapts to business logic, the results are static and predictable.
However, companies that are using machine learning to run their processes; they are finding out how cumbersome it can be to train a robot to “think” like a human employee.
That’s why the Ivinex system works in concert with the employee rather than trying to replace them.
Thus, if the goal was to cut down “trees” in our problem statement, then the manual process is like an ax, and the business intelligence automation is like a chainsaw.
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