Why your chatbot will fail or why we can’t realize the $100+ billion customer service chatbot opportunity

Why your chatbot will fail or why we can’t realize the $100+ billion customer service chatbot opportunity

Every year companies spend $100+ billion annually in wages to call center reps. I have seen companies where most of customer service queries were about issues that can be resolved in self service channels. Customers also reported resorting to call centers for simple problems that can be resolved online. Then came chatbots! Now companies have a unique channel which can both serve simple queries at low cost and serve complex queries by seamlessly transferring customers to a human agent. On top, bots are lightining fast, one of top criteria for customers. As a result, search queries on chatbots more than doubled in a year and investment is also exploding. Tech giants are building an ecosystem of bot analytics and development tools.

Then why am I still talking to customer service reps? I spent about a decade as a consultant and implemented numerous process automation projects. I see 3 main obstacles: Discoverability, customer expectations and technology limitations.

I have an urgent need as a customer and need to access customer service. What do I do? There’s a myriad of options which may or may not result in a customer service interaction: go to the company website hoping that they have a chatbot there, download the app which may not even exist, check out whether they have a chat bot on a platform like Messenger. Most Fortune 500 companies do not have a chatbot on any of these places. So the current situation is bleak in the US. Enter WeChat, dominant chat platform in China where virtually every major corporation offers a text interface for customer service. A dominant platform can make all the difference. 

Most chatbots in WeChat are essentially handcoded FAQ services. With news on the Western media about robots replacing hundreds of thousands of workers in the next decade, customers have understandably high expectations from a chatbot. Facing an interface akin to 1970’s Teletext will be crushing.

Finally, technological limitations remain. An AI interface that can solve all of customers’ problems without human interventions does not yet exist for any business domain. Even a system like Amazon’s Echo with continuously expanding skills (currently it has >15K skills) has issues. How do I know which skill Echo gained?

We outlined the challenges but we should also highlight the opportunities! There’s a vibrant chatbot eco-system and chatbots are here to stay! Our next piece will be regarding strategies on how to overcome all of these challenges so your chatbot can have a chance of success! So go to appliedai.com and sign up for our newsletter or learn more about how enterprises are using chatbots from our comprehensive chatbot guide.

[1] Total annual pay of customer service reps in the United States in 2014 assuming median wage equals average age. Source data from Bureau of Labor Statistics. Taking into account 2017-2014 growth and US companies’ spending to outsource customer service, by 2017 this should be $100+ bn in 2017.

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