Domino’s Just Delegated Phone Orders to Its Resident Chatbot
Domino’s just officially unveiled a method that could leverage the accuracy you get with technology without forcing people to go full digital if they don’t want to.
Its (his?) name is DOM, and while this chatbot-like being has been accepting orders online since 2014, this is the first time the AI-powered voice-recognition system will also be taking telephone calls.
Meanwhile, Domino’s CEO and President, J. Patrick Doyle, noted (in the same press release) that the company’s goal is to “one day be 100% digital.”
Currently, 65 percent of its U.S. sales are digital, and Domino’s is continually testing new concepts and ideas
“We think computer vision is going to eat the world. If you think about the human brain, AI is basically computers trying to mimic how the human brain works. Fifty per cent of what we do or think about or are emotive about is the brain reacting to what our eyes see. Cameras are everywhere, they’re getting cheaper and as computers get more and more powerful and more reliable, we think computer vision – the ability for computers to see and make sense of the world – is going to drive a generation that you and I can’t even comprehend.
Cameras have the ability to make life easier from an experience perspective. As a sub-set of AI, it is hugely powerful. If you think about what’s going on in China with state-sponsored computer vision, we want to use that force for good.”
Additionally, here are some key take-always from today’s news.
“Artificial intelligence (AI) in retail is having a moment. Spurred by growth in automated merchandising, recommendation engines, and customer behavior tracking, spend with respect to AI-driven commerce services is expected to top $8 billion by 2024, research firm Global Market Insights reports. And according to the McKinsey Global Institute, said services will impact between 3.2 percent to 5.7 percent of global retail revenue.
After three years of steady growth (200 percent) that saw the number of users conducting searches with its products exceed 300 million (and search volume surpass three million queries a day), ViSenze is raising venture capital
ViSenze — which was spun out from the National University of Singapore’s Next research center in 2012 — claims its infrastructure can index and process of “billions” of images, and generate search results in less than a second for newly uploaded product images (and less than 200 milliseconds for existing images).
That scalability — along with computer vision models trained continuously to improve recognition accuracy — are the reason its customers see 50 percent higher click-through rates and up to 5 times higher conversion rates, ViSenze contends.”
Sure, I could have written about something glitzy and glamorous like CES. In fact, I can’t imagine anything less interesting than “toilet knowledge,” but how can you pass-up clicking on that headline.
I’ll spare you the bathroom related double-entendres, because the article is insightful and thought provoking. It caught my attention because it’s a unique execution of: AI, image recognition, public data and social awareness.
Plus, I feel like I’ve been missing out…who knew there was a “World Toilet Day!”
Here are just a few key take-aways:
With reams of public data and open-source artificial intelligence at our fingertips, the challenge for businesses does not lie in access to data, but in how to use data creatively to stay competitive, innovative and philanthropic.
Last summer, Alto Analytics, took on the challenge to help understand the global water crisis in support of World Toilet Day
Alto’s analysts modelled an AI-powered image recognition analysis of toilets, for an automated and faster way to find a more exact number of people impacted by unsafe sanitation conditions on a global scale.
Toilets of families with an income of less than $122.50 per month were not recognized by the AI, representing 30.3% of the world’s total population, 2.22 billion people.
Toilets of families with an income of less than $245 had a 50% chance of being recognized. These families represent 47.8% of the world’s population, 3.42 billion people.
What makes Alto’s insights powerful is that they can be updated in real-time, as new photos are constantly uploaded