The beta version of FoodGPT was launched in mid-July, after three months of development.
It was galvanised by increasing enthusiasm shown by F&B industry players in the adoption of technologies, especially AI, for product innovation.
“Tons of data are being generated online on a regular basis, making it very difficult for companies to analyse, classify and extract relevant actionable information in real-time. With generative AI, the technology has matured enough to build a solution specifically designed for the F&B industry to bridge the gaps in current innovation methods.
“FoodGPT has been trained on a dataset comprising billions of consumer data points from 24 countries and across 16 different languages. By analysing data in native languages, FoodGPT ensures more precise and accurate answers to user queries. This is critical because F&B consumption is driven by local preferences,” Somsubhra Gan Choudhuri, co-founder and CEO of Ai Palette, told FoodNavigator-Asia.
The array of data are obtained from diverse sources, including social media websites, search engine data, restaurant menus, and retail e-commerce platforms.
“FoodGPT incorporates real-time data to tackle complex business questions, eliminating the need to navigate numerous platforms and sources to find answers. Users can simply ask questions in plain English, and the tool’s in-depth understanding of both language and the sector allows it to provide insightful responses.”
According to Choudhuri, the new tool has already been engaged by several F&B companies, including “prominent global snacks brands”.
Data security
While there are existing systems such as ChefGPT and TasteGPT that are able to perform recipe creation and related tasks, Ai Palette believes that FoodGPT differentiates itself due to several factors.
“For one, the extensive dataset is the largest of its kind in the industry. Furthermore, the tool has the ability to seamlessly integrate with a company’s data system — it can easily be deployed on any company’s data to offer insights tailored to specific businesses.
“Moreover, the integration process is designed with security in mind, ensuring that sensitive data remains protected. Data security and accessibility are the major concerns in tech enablement, so a solid data security and data privacy policy is also an important differentiator,” said Choudhuri.
Users can choose to either utilise the data available on Ai Palette or integrate their own customer data with the platform’s.
‘Substantial ROI’
Ai Palette believes that AI “will revolutionise the entire product development process” in the F&B industry.
“Imagine a world where insights can swiftly translate into small-scale production within a single day. For instance, a chocolate company can utilise generative AI to identify top consumer trends and preferences, generate a product concept and develop the formula immediately, then use a 3D printer to create a prototype on the spot.
“If the taste of the prototype meets their expectations, they can promptly proceed to small-scale production, where robots efficiently manufacture a batch of the product. This transformation will happen in the not-so-distant future.”
Apart from greater efficiency, these improvements throughout the product innovation cycle could potentially bring about optimised production facilities, improved consumer targeting, and more fruitful product launches.
“With the help of AI, we can go from obtaining insights to creating validated concepts at the click of a few buttons. By leveraging data-backed hypotheses, our tools aim to save time and enhance the success rate of new product launches significantly,” Choudhuri reiterated.
