Alon Chen is the CEO and Co-Founding father of Tastewise, a number one client intelligence platform powered by knowledge and generative AI. Beneath his management, Tastewise is reworking how meals and beverage manufacturers develop tasty, wholesome, and sustainable merchandise by unlocking real-time client insights. Trusted by international giants comparable to Nestlé, PepsiCo, and Kraft Heinz, the platform helps corporations speed up product innovation, streamline advertising and marketing, and enhance retail and foodservice efficiency via AI-driven workflows. With a mission to empower smarter decision-making throughout the meals ecosystem, Chen is on the forefront of leveraging AI to form the way forward for what we eat and drink.
Tastewise was impressed by your mom’s Shabbat dinner. Are you able to share extra about that second and the way it sparked the concept for the corporate?
At one level, I observed that everybody in my household had totally different diets, vitamin plans, and meals preferences. For my mom — who all the time prepares unimaginable Shabbat dinners and invitations the entire household — this turned an actual problem. She needed to hold monitor of everybody’s evolving dietary wants whereas nonetheless making a meal that introduced us all collectively.
One week, she’d put together a conventional dish with hen, solely to understand there have been vegetarians on the desk. One other time, she’d serve rice, forgetting that a few of us had been following a keto weight loss plan. The frustration of making an attempt to accommodate everybody began to take a toll.
That’s when it struck me—this wasn’t only a problem for dwelling cooks; it was a a lot larger challenge for all the meals and beverage trade. If even a home-cooked meal required a lot adaptation, how may companies successfully sustain with ever-changing client preferences? That realization was the spark that led to Tastewise.
How did you identify that the meals and beverage trade was prepared for an AI-powered insights platform like Tastewise?
After we launched Tastewise in 2018, AI was nonetheless uncharted territory. Many companies – and even our buyers – had been unsure about its potential and the way it may rework industries. However one factor was clear: the meals and beverage trade desperately wanted innovation.
On the time, 90% of latest product launches had been failing, largely as a consequence of outdated, handbook processes like client surveys and focus teams. These strategies had been gradual, pricey, and sometimes did not seize real-time client preferences. It wasn’t simply that the trade was prepared for AI-driven insights—it wanted them.
Tastewise was constructed to bridge that hole. We leverage AI to assist manufacturers streamline product improvement and market methods and this basically frees groups from doing tedious handbook work and permits them to somewhat concentrate on creativity, technique, and significant innovation.
How did your expertise at Google as CMO for Greece and Israel put together you for launching Tastewise?
My time at Google was instrumental in getting ready me to launch Tastewise. As CMO for Greece and Israel, I constructed a $2 billion on-line enterprise, which gave me invaluable expertise in scaling B2B operations, driving market share, and understanding the nuances of digital progress.
There, I realized firsthand the right way to leverage data-driven decision-making, innovation, and expertise to unravel advanced enterprise challenges — expertise that turned the inspiration for Tastewise. That have positively helped me acknowledge the facility of AI in uncovering client insights and shaping the way forward for the meals and beverage trade.
Tastewise leverages generative AI for client insights. How does the expertise work, and what units it other than rivals within the house?
Tastewise’s generative AI is particularly crafted for the meals and beverage trade, leveraging seven years of specialised knowledge to supply real-time insights into what, why, and the way individuals eat.
Our AI analyzes an enormous array of knowledge – spanning 75 billion social media posts, 1 trillion on-line recipes, 160 million evaluations, over 4 million eating places (each chains and independents), and 600,000 grocery objects. This permits us not solely to trace present client consuming habits but additionally to foretell rising meals and beverage tendencies with excessive accuracy, giving manufacturers a aggressive edge in staying forward of trade shifts.
This stated intelligence is nothing with out motion. What units Tastewise aside is our skill to rework these insights into actionable income alternatives. Our merchandise streamline workflows, making certain environment friendly execution. For instance, the platform’s Innovation Dashboard simplifies development discovery, whereas TasteGPT will immediately generate AI-powered concepts for brand new merchandise primarily based in your targets.
One other instance is one thing like our Content material Company which converts these insights into high-performing advertising and marketing campaigns. Collectively, these instruments allow manufacturers to capitalize on progress alternatives by enhancing shelf presence, increasing menu choices, or boosting product utilization—empowered by AI-driven execution.
How do you make sure the accuracy and relevance of AI-generated insights, and what challenges have you ever confronted in coaching fashions for such a distinct segment trade?
At first look, AI for the meals and beverage trade may appear area of interest, however in actuality, it’s centered on a $10 trillion international market that touches each side of our every day lives. Digitalization has amplified its attain, with food-related content material, comparable to Instagram posts about meals, now constituting 20% of all on-line content material—underscoring that meals isn’t just a market, however a central a part of the digital dialog.
After we began seven years in the past, we relied on conventional AI fashions lengthy earlier than generative AI turned mainstream. The insights we gathered over time from these fashions supplied a powerful basis for validating the accuracy and relevance of our generative AI outputs.
By cross-referencing new insights with established knowledge, we guarantee a excessive stage of reliability in our outcomes. Whereas no AI system is ideal, this strategy permits us to keep up accuracy and refine our fashions successfully.
Tastewise processes huge quantities of knowledge from menus, social media, and client conduct. What particular machine studying fashions or strategies does your platform use to generate actionable insights?
At Tastewise, we leverage a mixture of superior machine studying strategies to rework huge quantities of knowledge into actionable insights. Analogizers, sometimes used for unsupervised studying, assist us cluster knowledge primarily based on related patterns, even when these patterns should not predefined. As an illustration, we use Analogizers to categorise (or group) retailer chains.
Connectionist fashions, like neural networks, permit us to categorise demographics and behavioral teams, which we confer with as audiences. In the meantime, Symbolyst’s tree and forest fashions are used for entity matching—connecting totally different supply platforms to the identical Tastewise entity. On this course of, we depend on a constant set of options (comparable to title, deal with, and cellphone quantity) and apply comparatively inflexible guidelines to make sure correct matching throughout platforms.
Collectively, these fashions allow us to supply companies with exact, data-driven insights that not solely inform strategic choices but additionally anticipate future foods and drinks tendencies.
TasteGPT has recognized progress in distinctive dessert preparation strategies, comparable to infusing and grilling. What different culinary improvements are on the horizon?
Tastewise’s newest insights reveal a captivating evolution in how shoppers strategy dessert and meals preparation. Whereas strategies like infusing and grilling proceed to realize traction, different distinctive strategies are additionally rising in recognition, reflecting shifts in texture preferences, eating experiences, and even portion sizes.
One of the crucial notable tendencies is soaking, which has seen a 30% year-over-year enhance. Soaking includes submerging elements in liquid to reinforce texture, taste, or dietary properties. Historically related to in a single day oats, this technique is increasing into new territory, comparable to infused grains and pre-soaked nuts for different dairy merchandise.
One other approach gaining consideration is tenderizing, up 25% YoY. Tenderizing is the method of breaking down muscle fibers in meat or altering the feel of plant-based elements to create a softer chew. The rise in curiosity could point out a rising client choice for extra refined, melt-in-your-mouth textures throughout varied cuisines.
On the experiential facet, hibachi cooking has grown by 18% YoY, signaling a heightened curiosity in high-heat, interactive eating. Hibachi is a Japanese grilling fashion the place elements are cooked at excessive temperatures on an open grill, usually in a theatrical, participating method. Whether or not at eating places or in dwelling kitchens, this development displays the enchantment of immersive cooking experiences that deliver each leisure and daring flavors to the desk.
Lastly, the idea of miniaturization can also be on the rise, with a 14% YoY enhance. Miniaturization includes creating smaller, bite-sized variations of conventional dishes or desserts, usually emphasizing portion management and aesthetic enchantment. The demand for gourmand small plates, petite pastries, and individually portioned treats suggests that customers are searching for indulgence in a extra balanced and customizable means.
What are a few of the most stunning tendencies or insights Tastewise has uncovered just lately within the meals and beverage house?
In Fall 2024, we continued our custom of releasing the Taste Traits Report, highlighting probably the most disruptive meals and beverage tendencies shaping 2025
One of the crucial placing tendencies is the rise of Center Jap flavors, significantly Yemeni spices like hawaij and black lime. As shoppers hunt down daring, warming flavors, hawaij – a wealthy mix of ginger, cinnamon, cardamom, and cloves – is rising as the following huge factor in drinks, poised to problem the long-reigning pumpkin spice.
Whereas taste exploration is on the rise, financial realities are shaping how youthful generations strategy meals. With affordability in thoughts, Gen Z is gravitating towards Filipino delicacies, drawn to its wealthy, umami-packed flavors that don’t compromise on style or price.
Past style and affordability, sustainability stays a key driver of client decisions, particularly in drinks. Sustainable wine is gaining traction, as eco-conscious drinkers prioritize manufacturers that follow regenerative agriculture and embrace lower-carbon manufacturing strategies.
On the identical time, the well being and wellness motion is evolving within the wake of GLP-1 weight-loss medication. Shoppers are more and more searching for customized vitamin options that align with their particular person wants, from hormone stability to hydration.
Collectively, these tendencies level to a future the place shoppers should not solely looking for thrilling flavors and cost-conscious meals but additionally making conscious decisions that align with their well being and sustainability targets.
What’s your imaginative and prescient for Tastewise within the subsequent 5 to 10 years, and the way do you see AI evolving within the meals and beverage trade?
AI is already a elementary a part of the meals and beverage trade construction and client conduct. Shoppers’ consuming habits are already, in some ways, already affected by AI-supported algorithms on social media platforms like Instagram, TikTok, and Pinterest. In the meantime, the trade is awash with AI instruments revolutionizing demand prediction and general productiveness.
The trade is consistently taking part in catch-up with client calls for, resulting in an over 90% failure price for brand new meals and beverage merchandise. In line with the World Financial Discussion board, the meals and beverage trade prices over $19 trillion as a consequence of environmental injury and food-related well being points, nearly double what the trade itself is value.
I really feel that within the subsequent 5-10 years, corporations utilizing AI instruments will begin the shift towards a higher equilibrium, the place manufacturers should not solely staying on high of tendencies however having a far higher understanding of them and might transfer quickly from ideation to shelf.
Because of this the 90% failure price will come quickly down, even perhaps to zero, which I discover extra fascinating. We’re already seeing manufacturers like KraftHeinz, Givaudan, Pepsico, and Waitrose pushing new boundaries with their merchandise and advertising and marketing due to their use of AI instruments and platforms.
This shift causes us to ask: What if all innovation succeeds? What if all connects on to your meant viewers? What if each product goes to the fitting place?
AI will basically change into an extension of the human group—sooner, extra exact, and always-on. I imagine we’ll see a shift from a “useful device” to a “core collaborator.” And what meaning for us at Tastewise is profound.
Our imaginative and prescient is evident: Tastewise would be the working system of meals and beverage innovation. We’re not simply constructing a knowledge platform—we’re constructing the go-to surroundings the place manufacturers dream, take a look at, validate, and execute, multi function place. That’s what will get me excited.
We’ve already laid the groundwork by pairing actual client conduct with GenAI to automate what used to take groups weeks or months. Our objective now could be to proceed embedding ourselves deeper into the precise workflows of entrepreneurs, R&D groups, and strategists. Consider on the spot solutions to advanced questions, built-in throughout the instruments you already use, accessible anytime.
And right here’s why that issues: after we get this proper, we don’t simply assist manufacturers transfer sooner—we minimize down on meals waste, defend backside strains, and contribute to a more healthy, extra responsive meals system. It’s higher for enterprise, higher for individuals, and higher for the planet. That’s the long run we’re constructing collectively.
What recommendation would you give aspiring entrepreneurs who want to disrupt conventional industries with AI?
Disrupting a conventional trade with AI isn’t nearly having nice expertise—it’s about fixing an actual, urgent drawback. Too usually, corporations get caught up within the hype of AI with out a clear goal. The secret is to start out with the trade’s largest ache factors and ask: How can AI make this smarter, sooner, or extra worthwhile?
In conventional industries, change doesn’t occur in a single day. Many decision-makers are skeptical, counting on legacy programs and acquainted processes. That’s why schooling is simply as vital as innovation. It’s important to present, not simply inform—use knowledge and real-world success tales to show AI’s worth in a means that resonates together with your viewers.
On the identical time, flexibility is essential. AI is evolving at an unimaginable tempo, and what works as we speak may not be related tomorrow. Essentially the most profitable entrepreneurs on this house aren’t simply tech visionaries—they’re adaptable, all the time refining their strategy primarily based on market wants.
Above all, success comes from assembling the fitting group. AI alone received’t disrupt an trade—individuals will. Encompass your self with consultants who perceive not solely the expertise but additionally the trade you’re making an attempt to rework. With the right combination of innovation, schooling, and agility, AI can go from being a buzzword to an actual game-changer.
Thanks for the nice interview, readers who want to study extra ought to go to Tastewise.
