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Daily news and analysis about the food tech revolution

Tastewise

Tastewise Launches Its AI-Powered Food Prediction in the UK

Tastewise, which uses AI to predict consumer food trends, announced today it has launched its platform in the UK and added more localized data to help restaurants and food producers in that region better anticipate consumer eating habits. According to a press release sent to The Spoon, Tastewise has integrated data from 183,000 restaurants and delivery menus, over 2.8 billion social interactions, and 1.2 million online recipes from the UK into its platform.

The Tastewise platform, which launched in February of 2019, helps CPG companies better predict food trends through artificial intelligence (AI). It analyzes consumer touchpoints (think Instagram photos and online recipes) to find not just what foods consumers are eating right now but also their deeper motivations for choosing those foods. When we spoke about a year ago, Tastewise CEO Alon Chen used the example of sauerkraut to illustrate the point: 

“Right now, according to [Chen], it’s a popular food, but the trend is less about raw cabbage and more about the process behind it, which is fermentation . . . Food companies analyzing data via the Tastewise platform can see such data and consider how they might implement fermentation into their offerings.”

Tastewise counts Nestlé, PepsiCo, General Mills, Dole, and other major CPGs among its customers. With today’s launch, UK-based food businesses will also be able to utilize the platform to get more real-time insights into consumer food behavior, which is a must in these pandemic-stricken days, according to Tastewise: “The pandemic has made it clear that it’s imperative to have your finger on today’s pulse each time a decision is made,” Chen said in today’s press release.

Speaking of which: along with the news of its UK launch, Tastewise also released a new report on UK consumer food trends during the pandemic so far. Among them:

  • Sustainable foods are rising 52 percent in popularity year over year, though health and fitness are motivating this trend, not environmental concerns.
  • UK demand for meal kits is up 200 percent.
  • CBD is fading in popularity.

Tastewise is not a sensory platform a la Spoonshot or Climax Foods. However, it is similar in that it leverages AI to help companies bring in-demand products faster by sinking less money into traditional R&D. And given the upheaval the pandemic has caused across the food system, both CPGs and foodservice companies will be leveraging more AI in the future to keep costs down by offering their customers the most relevant items possible. 

How Will the Black Swan of COVID-19 Impact Data Used in AI-Based Flavor Prediction?

In order to build an effective artificial intelligence (AI) platform, you need good data. Data feeds the algorithms that go into the AI; the better your data the better your AI system will function.

In the food tech world, there are a number of startups like Spoonshot, Analytical Flavor Systems and Tastewise have built intricate AI platforms that use tons of different data to help big CPG companies identify and predict culinary and flavor trends.

But what happens when a big catastrophic black swan event occurs like, oh, I don’t know, a global pandemic, which changes the eating and buying patterns of almost everyone on the planet all at once?

For instance. In February, it was easy to buy flour and yeast at your local grocery store. Fast forward to March and suddenly store shelves were empty and you had to resort to making your own yeast. Around that same time, instead of pictures of fancy restaurant meals, social media accounts were flooded with pictures of homemade bread.

Food predicting AI systems uses data points like restaurant menus, social media mentions and consumer purchasing patterns to determine future trends. But everyone didn’t start making sourdough bread at home because it was suddenly fashionable. It was because everyone was stuck inside.

How then, will AI systems handle this shock to the data system? Sheltering in place won’t last forever (knocks on wood), and who knows how long people will actually make their own bread. The popularity of it now is an aberration, does this mean that the data surrounding it is no good? Is bread making today indicative of anything other being bored or does it foretell a bigger trend?

To get a better sense I reached out to both SpoonShot and Analytical Flavor Systems to see how they are incorporating this massive disruption to our eating patterns into their own prediction process — and got two very different answers.

SpoonShot’s AI uses more than 3,000 sources across 22 data sets including menu, social and pattern data. Kishan Vasani, Co-Founder & CEO of SpoonShot, didn’t seem to think that COVID-19-induced eating changes would impact his company’s predictive capabilities at all. “Algorithms shouldn’t be overly sensitive to black swan data,” he said, “If you think about it, AI essentially means having enough relevant and appropriate data to process and predict.”

In other words, if your AI system is worth its salt, you should be able to weather big changes like this. “Everything goes back to the data and data sources,” Vasani said, “Menu data is significantly slowed down, but that’s compensated for with cooking platforms.”

On the other hand Jason Cohen, Founder and CEO of Analytical Flavor Systems, thinks the pandemic and subsequent lockdowns are a big deal. “Companies will say, ‘no no no, we can make predictions,'” Cohen said, “I do not believe that. This is the most rapid and intense change to consumer behavior since World War II.”

Cohen believes that with quarantines already in place for more than 60 days, new habits will definitely have formed. People will still be baking bread at home. What’s important is to meet this new data where it lives, literally.

Up until the pandemic, Analytical Flavor Systems used a 50 person panel of tasters as part of its data collection. This panel would come into the office to try various on-market foods. But since lockdown, the company has moved entirely to at-home testing. “In addition to CPG products, we are asking them to taste profile their homemade bread and soups,” Cohen said, “The point is we need to see those flavors, aromas and textures they are exposing themselves to.”

Cohen doesn’t think that past data is invalidated, but rather that data needs to be collected before during and after this crisis. Something which I think Vasani would agree with.

The thing about predictions now is that we won’t know if they were accurate for a long time. SpoonShot looks out 18 months and is even considering pushing that out to two years.

Hopefully we’ll be able to eat bread at a restaurant again by then.

Tastewise is the Latest Startup to Use AI for B2B Flavor Recommendations

Surprisingly, my eight-year-old’s current favorite toy is one of those old Magic 8 Balls that “predict” the future. Granted, most of his questions revolve around acquiring some Lego set, but he, like so many of us, want more certainty in our future.

Tastewise is a new startup that launched yesterday with a technology that aims to help restaurants and CPG companies better predict food trends using data and artificial intelligence (AI). According to the press announcement, “The platform analyzes billions of critical food and beverage consumer touchpoints to discover people’s real-life interactions with food including over 1 billion food photos shared every month, 153K restaurant menus across the US and over 1M online recipes.”

So Tastewise is looking at all those food pictures people are Instagramming and Tweeting about to see what is hip with the kids. It can also parse different ways items are described. For example, it will know that hamburgers, burgers and sliders are all basically the same thing. It takes all of this information and runs it through its algorithms to recommend new products on both a national and local level (what’s cool in Brooklyn may not be cool in Omaha).

I spoke with Co-Founder Alon Chen by phone, and he told me that with Tastewise, his clients can simply type in a food item like “hummus” and the software will crunch all the data and report back results of not only flavor information (ingredients people are adding to hummus), but also how people are using hummus (not just as a dip, but also as a spread).

Tastewise is offered as a SaaS product, and while specific subscription plans are being worked out, Chen said that they will always offer a free tier of results and a premium version for $299 a month. Exactly what results and insights are available to premium subscribers has yet to be determined.

The flavor-prediction sector is certainly hot like sriracha (though Tastewise says Zhoug is the next sriracha), as there are a number of other B2B players already in the market. Spoonshot and Analytical Flavor Systems both use AI to help companies predict and act quickly on food trends. Even spice company McCormick enlisted IBM’s Watson to help determine what tastes are on the horizon.

When asked about his competition, Chen said that Tastewise “is not a sensory platform.” Rather, his company is looking at what people are saying and the actions they are taking around food to develop consumer insight and intelligence that reflect what is happening and predict what specific foods and flavors will become hits.

Tastewise has raised $1.5 million in funding and has five employees. With CPG companies and restaurants all looking for any kind of edge over their competition, it doesn’t take a Magic 8 Ball to see that Tastewise has picked the right sector. Now we just need to see if it can beat out all the competition.