The Rise of the Machines: Where Does the Person Stop and the Machine Start? – CIO Applications

Chess Engine

Many organizations now deploy robots, avatars and chatbots to perform more prosaic tasks we used to ask flesh-and-blood people to do. Sure, robots can work hard (and they dont catch viruses, at least the kind we do), so already they are starting to replace human workers who do routine tasks such as warehouse fulfillment.

But the AI revolution goes well beyond logistics and reaches deep into the front-of-the-store as well. In Japan, SoftBank started to sell the first full-scale humanoid home assistant to consumers. Pepper is intended to provide companionship and information to users. It (or he?) is equipped with emotion engine software that can read a persons emotions via facial expressions and speech and react accordingly.

But wait, isnt the ability to read people the hallmark of a good salesperson? Its just a matter of time before new-and-improved versions of Pepper start to populate the sales floor.

Are marketers ready for robot salespeople?

Ready or not, they need to grapple with this question, and soon. Worldwide sales of consumer robots passed 5 billion dollars in 2018, and robot shipments will increase from 15 million units in 2018 to 66 million by 2025. The market value by then would be 19 billion dollars.

At the retail level, how will shoppers react to dealing with a non-human in a store environment? So far, consumers seem eager to embrace android salespeople. One recent survey reported that about half of the women it sampled want to use them when they shop for beauty products. This initial enthusiasm may stem from the speed and convenience of an automated process, the perceived ineptitude of many store employees to provide constructive (and especially objective) advice, or perhaps a combination of both.

Of course, its still early days, and quite possible that a lot of this receptiveness is simply due to the novelty of talking to a metal person. Once that wears off (and it will), we need to learn a lot more about the factors that will attract or dissuade customers from seeking a machines advice. Clearly, they will have to learn to trust the suggestions they receive, for example. And certainly, there are consumer variables such as gender, social class/ education, and experience with a product category that will make some of us more likely than others to embrace this new form of decision making.

As the line between Humans vs. Computers disappears, we need to address many important ethical and strategic questions, such as these:

How does the physical appearance of a robot or avatar sales advisor affect the likelihood that customers will trust and follow its recommendations about what to buy?

How will chatbots and affective computing (where software detects a consumers emotional state) impact sales interactions?

What will be the impact of dating apps, sexbots, and other smart devices on interpersonal relationships?

How will facial recognition and wearable computer technologies meld with AI to create markets of one where the messages we see, and the products and services we buy, are highly customized to each individual consumer?

Very soon, the rise of the machines will become the race of the machines. Be sure youre at the starting gate.

Read more:

The Rise of the Machines: Where Does the Person Stop and the Machine Start? - CIO Applications

Related Post

Leave a Reply

Your email address will not be published. Required fields are marked *