advances in Artificial intelligence, automation and resources Low Code impact the way companies will be interacting with their consumers
By 2026, 20% of the volume worldwide of contacts arriving at central service the customers will come from machines known as Machine Customers. A estimate is from Gartner, a world leader in business research and advice, which also predicts that by 2024, 100 million customer service requests will be handled by smart products.
You Machie Customers are economic actors, not human and who obtain goods or services in exchange for payment. In service and support to users, they resemble virtual assistants or The smart devices that perform care activities on behalf of their human-clients, being able to report problems or collect information about products.
Uma Challa, Senior Principal Analyst in the Gartner Customer Service and Support Practice
"You Machine Customers will redefine customer expectations of what constitutes a low-effort experience, creating a bigger competitive gap”, it says a challa, Senior Director Analyst at Gartner Customer Service and Support Practice. “Organizations that adopt them will be able to differentiate their value and be able to meet this new standard of service effortlessly.”
Initially, the Machine Customers will be better served in channels of chatbot corporate because they are capable of handling large-scale requests. To the better prepared companies will start investing in Platforms in Conversational Artificial Intelligence (CAIP) to enable direct communication between robots (bot-to-bot).
“Organizations without a Machine Customers will not have conditions to distinguish between human-clients and client-machine”, says Challa. “They may have performance issues in attendance non-chatbot, without understanding why.”
Customer service representative automation is also on the rise - The companies with customer service representativess will be automating more and more parts of their work to make it easier the flow, but they will not always be using tools contracted business to do this: Gartner predicts that 30% of representatives will do so by 2026.
between activities that can be programmed to be automated independently (of the type 'automation') are the use of rapid autoresponder technology in emails, social networks or the use of a system of recording capable of transcribing customer calls.
“Although the 'automation' has been going on for some time in the software area, this trend will become more present internally in customer service because representatives now have improved access to automation tools, it says Emily Potosky, Director of Search on Gartner Customer Service and Support Practice. “Emerging resources, such as Artificial intelligence (for example, Github co-pilot, OpenAI's ChatGPT and Codex) will continue to make coding more accessible to reps, regardless of their skill level.”
With that in mind, Gartner expects there to be a wider range of products on the market that focus on automation of collaborators, specifically solutions Low Code or No Code facing to representatives to help them 'automate'. You suppliers that offer collaboration platforms can also increase investment in coding resources to allow groups of representatives to work together to self-automation.
“Customer service and support organizationss that not only allow, but authorize the automation automatically will become more competitive than those that don't, as reps will be able to to notice and correct even the inefficiencies that the leaders are unaware of”, says Potosky. "These companies can also become more attractive employers because Potential job seekers are likely to appreciate the flexibility and organization availability for innovation”.
Customer service and support leaders must prepare for unexpected and unauthorized uses of technology – The increase of Machine Customers and the opportunities to 'automation' represent a change in the way collaborators and consumers use technology to interact with customer service. The increasing accessibility of technology means that consumers and employees alike are using it in unexpected and often unauthorized ways. To prepare for this, service and support leaders must:
- Create a due diligence framework to review and approve opportunities for 'self-automation';
- Invest in a platform chatbot scalable to facilitate the interaction of Machine Customers with bots corporate;
- Take advantage of the availability of employees to augment their own processes, enabling them to create more engaging and effective ways of working;
- Measure channel performance of robots, as well as channels without chatbots, to understand the impact that Machine Customers have in your universe of channels.
