The utility industry has been slow in accepting change primarily because the industry has moved in linear fashion for decades. The advent of smart meters, stringent carbon emission targets and falling price of wholesale electricity have forced energy providers to look for disruptive technologies to offer differentiated offerings and services to customers and thereby stay competitive.
Utility providers have taken cues from Telecom and Retail industries which have historically shown a higher appetite for cognitive technology and robotic adoption – 35% and 19% respectively and have started to partner with tech firms to build rule-based ‘u-bots’ or ‘utility robots'.
Process-related bots for contact centers help deliver self-service across the non-voice channels. Rule-based u-bots are the first-generation bots that can chat directly with customers and answer their standard or first-level queries. These bots are programmed with pre-defined rules and logic. However, they lack the ability to think and learn from customer interactions by themselves, although this is the preamble to cognitive technology and cognitive computing, especially in the utilities space.
The next step in the evolution of u bots is cognitive computing with an aim to create automated IT systems that can solve user issues without the need for human intervention. Cognition is the set of all mental abilities and processes related to knowledge, attention, memory, judgment, reasoning and computation. It also consists of decision making based on the comprehension of natural human language.
Nevertheless, ‘robofication’ of service delivery must be applied with some caution. In our experience of managing over 150 service desks of various Fortune 500/ Global 1000 accounts, we have carried out a SWOT analysis for the implementation of bots for utility providers:
Strength
|
Weakness
|
Opportunity
|
Threat
|
Perspective for Utilities:
Robofication of customer contact via cognitive computing is a strategic move, and there are some important factors which must be adhered to optimize business outcomes:
| Strategic Alignment | Incremental Investment | Right Tech Partner | Improve CX |
Identify objectives of robofication and ensure that they are aligned with the strategic goals of the business:
|
|
Utilities should select the right tech partner who has similar strategic objectives as theirs. Some evaluation criterions could be:
|
|
Conclusion
The future for customer contact is evident and providing a differentiated service will be the key to winning over the millennial customers. U bots are going to bring a paradigm shift in delivering superior customer experience. It would impact everything from the delivery model, business processes, business KPIs (like focus on CES over NPS or CSAT), existing talent pool (i.e. tenured staff with domain knowledge), new talent acquisition (i.e. niche skills like managing complex technical issues, better troubleshooting skills, etc.) to the overall value proposition of customer engagements.
Evolution of cognitive computing and advancements in machine learning will enable u-bots to replace human agents in the utility service desk of the future. Therefore, u-bots would become the next battleground for providing superior CX. Hence, it is time for utilities to re-evaluate their business strategies to remain competitive in this unavoidable disruptive environment and integrate with cognitive computing companies for improved customer experience solutions.
HCL Technologies (HCL) a leading global IT services company that help global enterprises re–imagine and transform their businesses through Digital technology transformation is bringing out the first Cognitive Service Desk, LUCY in partnership with IBM.
