STEPS INTO THE FUTURE

The demand for technology is increasing in the food and beverages sector due to digital opportunities, climate change, and health-focused consumers. Climate change and its global impact are encouraging innovative startups to make a change in the industry. Consumers diet is also changing, and the desire for a healthy lifestyle is increasing, leading to the rise of veganism and vegetarianism, which is persuading the food and beverage industry to follow the trend.

There is no doubt that in the past few years, the dynamics of the food and beverage sector have changed. They have become more customer-oriented, transparent, and increased the usage of technology.

The top food technology trends that are transforming the food and beverage industry are given below. The overall sectors equation is far from being solved: agriculture and food is the largest employer in the world, yet wealth and development inequalities create chasms in both productivity and access to staples and refined products. Moreover, while its responsible for at least one-quarter of overall greenhouse gas emissions, food production will suffer more and more from climate change and scarcity of resources.

Nearly half of the planets population has bad dietary habits, whether related to undernourishment or unhealthy consumption. On the distribution and sales side, increasingly sophisticated behavioral patterns make manufacturers and retailers question how they can stay competitive and delighting their customers.

To mitigate the burdens of such a complex environment, two main areas need to be tackled: on one hand, consciousness, education, and cooperation are key to increase the accountability of individuals and communities alike. On the other hand, process optimization, digitization of products and equipment, and partnerships across stakeholders can increase the odds of winning the battle

1. Explain briefly how technology changing the food and beverage industry.

Cloud platforms IoT Artificial Intelligence Blockchain Analytics DOO Behavioural High data volumes . Collaboration Integration Remote Farming Control Intelligent products/packaging Cold chain patterns Traceability IP protection . Anticounterfeiting Predictive Models Big Data management Augmented BI Insights driven decisions