5 Uses of Big Data in the Food Industry

Name: Joanna
Student ID: D0711965
Blog#4: 5 Uses of Big Data in the Food Industry

With big data appear, which provide lots of information and insights, it gives lots of changes in different kinds of industry. The food and beverage industry is always changing to cater to the customers' demand. From producers, distributors, grocers, restaurants and customers, in this long process, to keep these food fresh and in good quality is important, if not, it might cause the overall loss of goods and value. But with big data, it can help to capture what is the trends and what customers like.

First, for food delivery, by using big data, delivery companies can analyze and know better about the traffic, weather, current climates, route changes, and distance. Therefore, it can calculate the time required to travel to a delivery spot. Moreover, it can help to gather the data which according to the users' habit to make a different menu or flavor.

Second, it can help companies access deeper insights into their customer behavior, which can tap into to drive sales. Restaurants’ reviews are quite important that they play a significant role in a business’s growth.

Third, big data application is giving good-fashioned marketing to spread awareness and build brand loyalty. It can give you some great insights about the products or company.

Last, big data provide the optimization of transparency, allowing companies and providers to better track their transported goods. 

Big data is using in the food industry and beverage industry, which is growing rapidly. Door-to-door providers are using big data to make it be more efficient. Suppliers have been maintaining transparency and delivering high-quality goods with minimal loss.

Comments

  1. D0740769June 25, 2020 at 3:10 AM


    Food companies are doing product R&D and market research. In addition to the usual methods, such as providing sample food or doing questionnaires, big data analysis is also a common method. Because data can more effectively interpret consumer behavior, many companies have started to search the data extensively, collecting it from channels such as social platforms, commenting and commenting websites, or purchasing databases from market survey companies. However, food companies actually have different opinions on the use of data technology. In the past years, companies cut its budget for market adjustments, and turned to various databases, including consumer data from restaurants, retail, all-natural products, food e-commerce, and membership cards. They believes that data technology can more quickly detect market trends. For example, when designing a chewing gum package for the sub-brand Extra, the company first produced 30 different styles for use testing . The company found that consumers like recyclable plastic box packaging because it feels better against moisture. In addition, when the lid is closed, people want to hear a "click" and feel that the lid is really fastened. This package was launched in 2016 and became the most popular chewing gum of supermarket chain Walmart within 1 year. Saxon Reed said that if people did not make a series of packaging samples for people to try, they might miss the chance to win. By analyzing thousands of data, including people's meal times, locations, expenses and food content, as well as ways of cooking food, such as using microwave ovens, ovens or blenders, let companies design products more direction.

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