Evolving Food Label Clarity With AI

If customers have queries about the nutritional value of products, bots can respond to such requests, which, in turn, would also support decrease the workload of customer service agents.

The latest study revealed that only 28% of US shoppers admitted that they have a good knowledge of the fat, salt, and sugar content in their foods, which shows a huge number of Americans are unaware of the nutritional value of what they eat. Several believe that manufacturers should be responsible for informing consumers about what ingredients are there in their meals.

Consumers want to purchase products that will positively affect their physical and mental health. Thus, manufacturers need to go beyond generality to keep consumers informed about their products.

How AI can help to give the food label clarity that consumers ask for:

Accurate Labeling

Mislabeling can lead to a potential consumer disturbance and jeopardize the product’s brand reputation. Additionally, consumers can lose trust in food producers as well as retailers. Today, consumers are looking for organic, meat-free, dairy-free, and more products.

If shoppers have the power to read and understand what they are easily consuming is essential to provide both their health and wellness goals. Several grocery retailers utilize the traffic light system to inform consumers of any high-intake ingredients beyond displaying the sugar, salt, fat, and fat content.

Nevertheless, this may also evolve in the future when shoppers are demanding products that can support them fight diseases - or could potentially increase their immunity and decrease the risk of sickness. For instance, products with low nutritional content and high in sugar and saturated fats are processed.

Chatbots

Another creative way artificial intelligence (AI) can be utilized is to keep consumers informed through chatbots. Chatbots can also support information campaigns to support retailers selling products and educating consumers. For example, suppose customers have queries about the nutritional value of products. In that case, bots can respond to such requests, which, in turn, would also help reduce the workload of customer service agents.