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There are actually more possibilities

Posted: Sun Jan 05, 2025 9:09 am
by sabarina38
For the impact of AI technology on the entire product production chain - first of all, in the product development stage, AI technology is used for big data analysis to fully understand market trends, user needs and feedback and other information. For example, Nestlé has developed coffee blends and probiotic health products through AI analysis of data from social media and digital resources, which " is expected to allow developers to track and test consumers' views on new products when they interact with consumers in the virtual world or Web3 space .



" The second is the product design stage, using AI technology to provide richer inspiration and more efficient output tools. Snack brand " Food Test Room " used AI to design five product packaging for its new iraq whatsapp number data product " Vegetable Garden Cake " , which has been officially sold through online channels. According to public media reports, " Food Test Room " only spent two or three hours to confirm the AI design plan. Without using PS tools, the artist completed the adjustment and layout requirements of the product packaging based on simple text input and a 100- word description. The last stage is product storage and after-sales stage.


Where AI technology is used for warehouse logistics management, user feedback data analysis and processing, customer service docking, etc., to improve the efficiency of product upgrades and iterations. In summary, AI can indeed add a considerable amount of value to brands, but it is still far from replacing human jobs. Judging from the current AI design results, human creativity and calibration are indispensable. In other words, AI is just a tool, and how to use it is the key. If used well, it can reduce costs and increase efficiency, but if used incorrectly, it may cause traffic backlash. Amid the AI craze , brands may be unable to control their application of AI technology .