Marketing team developed a new app that uses eye-tracking technology
Pizza Hut has come to the rescue of its indecisive customers, and developed an app to predict which pizza they most desire.
The "Subconscious menu" can be downloaded to a customer's device and features 20 toppings and almost 5,000 different pizza combinations.
Customers simply watch their screens to see a selection of ingredients, while the app's algorithms select the customer's most desired pizza.
It does this with eye-tracking technology developed by leading eye control software vendor Tobii.
The technology tracks which ingredients the customer's eyes linger on for longer, and then an algorithm combines these ingredients and in less than three seconds selects the most appropriate pizza with these toppings.
Developed in six months by the marketing team, the pizza chain said it could be rolled out to UK branches if the pilots are successful.
So far it has had a 98 percent success rate.
Kathryn Austin, head of marketing at Pizza Hut UK, said: "We wanted to try a few ideas on the traditional menu format and we're delighted to have developed the world's first Subconscious Menu, a unique way to reinvent the dining experience".
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The purpose of Artificial Intelligence (AI) has always been to replace the menial and repetitive tasks we do each day in every sector, so that we can concentrate on doing what we do best. Saving time and money has certainly been a decent outcome as AI infiltrates the business landscape, however, now we are starting to see problems that cause major issues in practice.
If you’re in any customer-centric role, you’ll likely be familiar with the Net Promoter Score (NPS) – one of the most popular tools for brands to measure their customer sentiment.
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In this bonus last episode of this new podcast series, BrandHook MD, Pip Stocks, talks with former ANZ group general manager of marketing, Louise Eyres, talks about the importance of thinking like a customer and using intuition to solve customer painpoints.
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