As the rise in urbanization and population continues showing no signs of abating in near future, the overall demand for food is rising at a meteoric speed. It is estimated that the global population will reach 10 billion people approximately by the year 2050 and 16 billion people by the year 2021. Natural resources such as land, water, and climate are all depleting swiftly being overused, wasted, and exploited by humans creating extraordinarily tough feeding problems for the massive human population. Making matters worse, the overall food wastage in the world is on the rise too. It is estimated that one-third of the food produced for humans is wasted globally and these numbers are even worse in underdeveloped countries. Approximately 20 million people die every year from hunger and millions are severely undernourished globally.
The use of advanced analytics abilities to optimize food production, the related cost, and food delivery is expected to reduce food wastage and meet growing food demand levels. However, these advanced analytics tools are not easy to use and require high technical expertise to leverage their capabilities. This restricts a lot of food players from using them thereby, continuing with unoptimized food production and delivery.
Avoiding food wastage through Bizintel360
With this context in mind, we have developed a strong advanced analytics product i.e., Bizintel360. It is an AI-powered advanced analytics tool that is extremely easy to use and exceptionally powerful. Operating the Bizintel360 neither requires coding nor any technical expertise. It comes with a highly interactive, powerful, and customizable dashboard presenting data visualizations that refresh live on the go providing real-time insight into root cause problems.
Bizintel360 is a perfect tool for food players and policymakers around the globe looking to optimize costs, food production, and food delivery besides, reducing food wastage. The predictive modeling powered by Bizintel360 can be run without any coding providing real-time insights into estimated demand levels based on the relationships between various variables as defined by the user. The best part is that the in-built machine learning algorithms will constantly learn with time and automate a lot of manual entries thereby, reducing user intervention and saving time. The food players can also perform prescriptive analytics with Bizintel360 that can help them optimize food delivery via real-time route planning to enable the fastest delivery possible to the target. With approximately 14% of the food being lost during the transit, real-time route planning fueled by Bizintel360 will bring food wastage down manifold especially for perishable food items like dairy and meat which suffer the most in transit.
Conclusion
For food players and consumers across the globe, the problem of food wastage is severe and alike. Food players lose big bucks on their production due to food wastage in transit and consumers get extremely affected by hunger as well as impoverishment as a result of it. The role of advanced analytics techniques and capabilities in reducing food wastage cannot be ignored and must be reported. It, with the ease of use and real-time analytics, is a bonus to have and Bizintel360 is designed to deliver on it.
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