Call centre employees are required to act as ‘multitasking champions’: they search for the information they need across a multitude of sources, while at the same time interacting with the customer on a nice, relaxed tone, always appearing ready to solve the presenting problem as if it were a piece of cake.
This sounds beautiful because the ability to engage in various tasks simultaneously is a human-specific trait that can make us proud of ourselves. But research gets our feet back on the ground, showing that multitasking can almost halve productivity. So what could be done about it?
Implementing robotic process automation in contact centres can provide your employees with much needed assistance, without the need for more (costly) hirings. Not only will they become more productive, but they’ll also be freed to invest time and cognitive resources in customer communication.
This is a win-win situation: customers’ issues are better addressed, employees are more efficient while also being more likely to get a sense of meaningful work, and the company itself, on top of performance and productivity gains, can also leverage the positive consequences of a good reputation among clients and staff alike (read customer and worker loyalty).
KPMG informs us that use of RPA can have a tremendous impact on operational costs, reducing them to only a quarter. A recent Orbis Research report predicts that the global contact centre market will grow to $24.6 billion by 2022, which means a CAGR of 22%. If this is so, it becomes mandatory for companies in the field to gain competitive advantage in order to better deal with such growth dynamics.
As we argued before, RPA deployment is an appropriate tactic for businesses aiming for top positions in their respective market. Call centre market surveys corroborate this claim. For instance, according to the Everest Group Research market report from 2017, the adoption rate of RPA in contact centres has grown by 50% between 2014 and 2016.
The list below of real world application areas is to be taken as an additional argument, an empirical one, for the use of RPA as a substantial competitive advantage for business innovators in the answering services sector.
Real world use cases for robotic process automation (RPA) in contact centres
1. Data management
Contact centres work with large amounts of customer data. When done manually, this can wreak havoc. Overloaded employees can ask customers to repeat their details multiple times, causing frustration and slowing down the resolution of the issue at hand. Even worse, accidentally swapping data bits may result in customers receiving information totally unrelated with what they asked for.
It’s easy to see that situations like these are likely to irritate customers, and thereby downgrade the credibility of the company. Robotic process automation can cancel out the risk of error when extracting, analysing and cross-referencing data across multiple sources. The employees can then invest all their resources in actually attending customers. In the end, both the customers and the employees are more satisfied and less stressed.
2. Creation of summary scripts
The versatility of software robots when it comes to data formats allows them to collect and analyse input data from phone calls. This streamlines note-taking activities and allows employees to focus their attention on actually listening to (not just hearing) customers’ requests, and thus address their requests more efficiently.
The automatic production of summary scripts also reduces the average handling time (AHT). Consequently, employees can take more calls and be more customer-oriented, both of which contribute to boosting productivity.
3. Updating client profiles
This is another example of a rule-based process to be performed upon successive instances of data collection (similar to point 2 from above). When the currently available data no longer fits with the client profile, the updating activity can be understood as applying a rule of the kind “maintain consistency”, where “consistency” is defined by equal values of specific parameters across multiple databases (e.g., email addresses, phone numbers, names).
This is a typical task that software robots ‘love’ to perform, warranting error-free updates and thereby smoothening customer interactions and avoiding discontent customers.