Guest blog by Steve Nuttall
The hype around Artificial Intelligence technologies is at its peak. According to the 2017 Gartner Hype Cycle, emerging technologies such as deep learning, machine learning and virtual assistants are at the “peak of inflated expectation”. Cognitive expert advisors have passed this peak and are now descending towards the “trough of disillusionment”. This occurs when interest wanes as experiments and implementations fail to deliver.
The benefits of AI for customer experience management are potentially game changing. AI has the capability to analyse vast amounts of data in real time from various sources, including human behaviours and emotions. Expectations are high because this capability can then be used to create seamless and personalised customer experiences that are optimised to the device and channel of choice.
Pragmatists and battle hardened cynics will recall that when automation was first introduced into customer service channels, the results were often spectacularly underwhelming. So, is the application of AI to customer experiences destined to fall into the trough of disillusionment before climbing the slope of enlightenment? Or is there a path to follow to avoid the pitfalls of unmet expectations?
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Intelligently using Artificial Intelligence for Customer Experience
In order to find out whether the application of AI to your business’ customer experience will take a downturn, it is necessary to first ask yourself: What is driving your organisation’s AI strategy? Is it because:
- AI is all the rage in your industry and your organisation is fearful of being left behind?
- If you take the lead in implementing AI, it will make you look smarter/cooler than your colleagues?
- It sounds like a cool and fun toy to experiment with?
- Your organisation needs to catch up with your competitors who have been early adopters of AI?
- AI is a great opportunity to reduce the cost to serve our customers?
If the answer to any of the above is Yes, then the trough of disillusionment beckons.
Alternatively, if you are deploying or considering AI because…
AI can enable your people and optimise your processes to operate more intelligently and efficiently, in order to provide individualised and predictive experiences for your customers at scale
…..then a brighter future awaits.
For these technologies to have any chance of success you should have a clear sense of purpose of how to you intend to deploy AI to drive CX in your business. Here are three ways you can use AI in a purposeful way to create meaningful customer experiences.
1. Use AI to Enhance your Knowledge of the Customer
An example would be using data analytics to anticipate the needs of individual customers at each moment of truth and key stage of their journey. Some specific examples oh how businesses are using AI to enhance customer knowledge:
- Four Steps – Using Data Analytics in Customer Service Solutions
- 15 ways companies use AI to enhance their CRMs
2. Use AI to create stronger emotional connections with your customers
Using AI to recognise a customer’s emotional state helps agents better respond to the customer during an interaction, thereby creating stronger emotional connections.
- How To Make Your Customer Service More Personal (And Why You Want To)
- Toward Machines with Emotional Intelligence
3. Use AI to empower your service agents
Not only can AI empower agents with emotional intelligence to reply appropriately to customers, it can be used as a tool to connect service agents with the right information in the organisation’s knowledge base in real time. Examples of why this can be powerful to a business:
- How AI is Transforming Enterprise Customer Service
- How will Articial Intelligence Assist Customer Service Agents?
A recent study Fifth Quadrant CX undertook for Oracle showed that CX leaders acknowledge the potential of AI and are more advanced in trialling and implementing these emerging technologies to enable better customer experiences. AI is being used to combine data from multiple sources to create individual profiles for each customer, enabling agents to take immediate action on what customers want. Consequently, CX Leaders are outperforming their counterparts by creating emotional connections with their customers through more predictive and personalised customer experiences.
As a result, nearly two thirds of CX leaders say their organisation’s revenue growth outperforms their industry counterparts, compared with only a quarter of CX laggards. The proof is therefore clearly in the pudding: when applied in a purposeful and meaningful way, AI technology can enable organisations to increase agility and overcome competitive threats and leverage this advantage to drive acquisition.
