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Christchurch resident Kate Singleton says the way she shops has changed.
Christchurch resident Kate Singleton has been using artificial intelligence technology to change the way she shops, without even realising it.
She has started using Christchurch business MenuAid, an online recipe subscription service that sends customers meal ideas, and a shopping list of ingredients, for $4 a week.
Singleton said the app had completely changed the way her family cooked but she had no idea it was powered by artificial intelligence (AI).
“It also helps avoid food wastage and cuts down on the cost of my weekly shop,” Singleton said.
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Singleton said a major problem with many of the meal delivery services was that the spices and ingredients used for one meal could then sit untouched at the back of the pantry.
MenuAid uses its AI to track what ingredients a customer should have in their pantry and suggests meals that make the most of what is on offer.
Melody Tia-Peni used to spend more than $400 on a weekly shop for her household of two teenagers and two grandchildren.
But MenuAid had brought that down to between $200 and $250 a week. Much of the savings came from avoiding food wastage, she said.
“Every individual, and every family’s palate, is different. So we had to create a recommendation engine that can very quickly adapt to a range of tastes. To do that we have built an AI which is getting smarter and smarter,” MenuAid founder Toby Skilton said.
ALDEN WILLIAMS/Stuff
MenuAid co-founders Elise Hilliam and Toby Skilton have created a meal subscription service powered by artificial intelligence technology.
When users sign up to MenuAid, the system records a range of food preferences to kick-start the recommendation engine.
As users cook and review recipes, the system collects data to create more accurate recommendations.
“It records things like whether the person prefers quick and easy meals over longer cook times, whether they prefer pork or chicken. We also have a personal clicking history of the meals they were most interested in. We put this data together and create an in-depth profile of a user’s preferences.”
The data is not only used to recommend recipes but also to help with the act of shopping.
When a user has finalised their recipes for the week, they get a shopping list which they can order …….