If customers have queries about the nutritional value of products, bots can respond to such requests, which, in turn, would also help reduce the workload of customer service agents.
Fremont, CA: A recent study revealed that only 28 percent of US shoppers admitted that they have a good understanding of the fat, salt, and sugar content in their foods, which indicates there is a huge number of Americans who are unaware of the nutritional value of what they eat. Many believe that manufacturers should be responsible for informing consumers about what ingredients are there in their meal. Consumers want to buy products that will have a positive impact on their physical as well as mental health. Thereby, manufacturers need to go beyond generality in order to keep consumers informed about the products they buy.
Let us look at how AI can help provide the food label clarity that consumers ask for:
Mislabeling can lead to a potential consumer riot and jeopardize the product’s brand reputation. Also, consumers can lose trust in food producers as well as retailers. Today, consumers are looking for products that are organic, meat-free, dairy-free, and more.
If shoppers have the power to easily read and understand what they are consuming is fundamental to serve both their health and wellness goals. Many grocery retailers are internationally utilizing the traffic light system to inform consumers of any high-intake ingredients, besides showing the sugar, salt, fat, and fat content. However, this may also evolve in the future where shoppers will be demanding products that can help them fight diseases - or could potentially boost their immunity and decrease the risk of sickness. For instance, products that have low nutritional content and that is high in sugar, saturated fats, and are processed.
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Another innovative way artificial intelligence (AI) can be utilized is to keep consumers informed through the use of chatbots. Chatbots can also be used to support information campaigns to help retailers sell products as well as educate consumers. For instance, if customers have queries about the nutritional value of products, bots can respond to such requests, which, in turn, would also help reduce the workload of customer service agents.