Published:
September 11, 2020
Last Updated:
September 11, 2020
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Further Reading
With USD 17 million funding, Tastewise continues its goal of using AI to divine food industry trends but might not see the whole picture
News Commentary | March 17, 2022
Led by Disruptive AI, Tastewise completed a Series A round to expand its artificial intelligence (AI)‑based trendspotting platform within the food industry. While the disclosed client list is impressive for a company at this stage, the degree to which its AI can predict as opposed to confirm trends ... Not part of subscription
Dyson's first wearable product is visually awkward with little focus on the user experience
News Commentary | April 20, 2022
After six years of development, Dyson launched its first wearable, "The Zone," a noise‑cancelling headphone with a built‑in air‑purifier that works as a mask. The bizarre form factor was initially mistaken for an April’s fool joke. Dyson is one of the most innovative makers of home appliances, and ... Not part of subscription
Blockchain and your organic fruit: Will customers bite into the next trend in traceability?
News Commentary | April 25, 2022
Carrefour, no stranger to blockchain technology, is debuting blockchain‑validated QR codes for part of its Carrefour Bio line of products so consumers can learn more about the traceability of the products in their shopping carts. With the growth of supply chains and the evolution of global ... Not part of subscription
by Jerrold Wang
A new feature of Google Assistant is making personalized recommendations of restaurants and recipes based on users' search history and smart device data. Some recommendations are further tailored to time; for example, dinner recipes are suggested in the evening. Though the feature is currently limited to consumer sectors, CPG clients should pay serious attention to it. First, Google's activity reconfirms the emerging trend of using consumer data to analyze their demands and drive personalized offerings. Second, Google has the potential to shape the sales of different CPG brands with highly customized product recommendations using data obtained through its different collection modes (like its search engine, wearables, and home devices).
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