Published:
September 11, 2020
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Nestlé launches at-home device "nesQino" to create customized shakes and smoothies
News Commentary | April 28, 2020
The machine, connected to a mobile app, allows for 21 different "superfood" drink recipes. It has been launched first in China. Details on how much it costs, where consumers can buy it, and what other markets Nestlé plans to pursue were not included in the press release. Much like when DSM heavily ... Not part of subscription
The newly launched Amazon Shopper Panel will make the company an inevitable partner for CPG companies seeking personalization
News Commentary | October 23, 2020
This program rewards users $10 per month to for uploading 10 receipts per month from any non‑Amazon purchases (like grocery, dining, and others); users can earn more rewards if they answer surveys in the program. Amazon will use the collected data to better understand users and improve product and ... Not part of subscription
CES 2021: Key takeaways about the future of smart and connected consumer products
Analyst Insight | February 02, 2021
The 2021 Consumer Electronic Show (CES), held between January 11 and 14, garnered tremendous attention from across the globe. Due to COVID‑19, CES 2021 went virtual, which allowed more attendees to join the event, learn about new product releases, and gain insight into developments in the consumer ... 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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