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Datassential’s Menucast Predicts the Future of Food & Flavor

Datassential’s Menucast is an AI-powered tool that uses food and beverage industry data to help bring products to life faster. The artificial intelligence tool helps with sparking inspiration, prioritizing ideas and gauging consumer interest in thousands of foods, beverages and flavors.

Since its debut in 2018 (as Haiku) the AI-powered research and development tool for foodservice has been enhanced to help with the prediction of the future of flavor and ingredient trends with remarkable 98% accuracy according to Datassential.

"Since we’ve been in the food trend prediction game significantly longer than anyone else, we’ve had time to optimize our algorithms for the utmost accuracy," said Emily Tang, Datassential’s senior vice president of product management.
Trend Themes
1. AI-powered Research and Development - AI-powered tools like Menucast are revolutionizing research and development in the food and beverage industry, enabling faster product development and trend prediction.
2. Flavor and Ingredient Trend Prediction - AI-powered tools like Menucast offer remarkable accuracy in predicting future flavor and ingredient trends, providing valuable insights to food and beverage businesses.
3. Consumer Interest Gauging - AI-powered tools like Menucast help food and beverage businesses gauge consumer interest in thousands of products, allowing for data-driven decision making and improved market targeting.
Industry Implications
1. Food and Beverage - AI-powered tools like Menucast have disruptive innovation opportunities in the food and beverage industry, revolutionizing how products are developed and marketed.
2. Market Research - AI-powered tools like Menucast have disruptive innovation opportunities in the market research industry, transforming how trends and consumer interests are analyzed and predicted.
3. Product Development - AI-powered tools like Menucast have disruptive innovation opportunities in the product development industry, enhancing the speed and accuracy of flavor and ingredient trend prediction.

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