Digital methods of data analysis are used in many business areas. Every day Industrial companies process a large amount of information: customer data, information on deliveries and production operations, and much more. Therefore, such method of data analysis as Big Data began to be used in the food industry and agriculture.
Thanks to modern data processing methods, there are shops without sellers; the home delivery sector is developing, and restaurants adapt the menu to fit their customers.
Keeping food fresh
An important aspect of the food industry is the products quality. Data analysis technology helps to track the origin of products, expiry dates and real-time deliveries.
For example, The Cheesecake Factory uses IBM software to track shipments. The company collects information from 175 restaurants across America online. The software stores and processes data on freshness of products delivered to the restaurant. In such a way it is possible to quickly determine the causes of bad products and prevent problems in the future.
One of the startups offers to monitor products at the stage of transportation. Zest Fresh has developed sensors that monitor the temperature of products during delivery. The technology determines how long the product will remain fresh and makes up the best supply route.
Forming a rating of popular dishes
Using Big Data one can also optimize prices and improve menu. The Food Genius platform helps restaurants to determine which dishes are more popular and what price is right for them. The service tracks orders at 360 000 restaurants and provides information on dishes and side dishes which are ordered most often.
Predicting product sales and demand
In order to prevent an oversupply or shortage of products, the Dansk Supermarked Group chain of stores collects sales information, allowing to address the overproduction issue: stores order only popular products and don’t store products that are bought badly.
Looking for suppliers
Big data can also help manufacturers to find a new supplier using satellites and ground sensors. Based on the information received, experts make a prediction: how long the supplier will be able to cooperate with the restaurant and whether crop failure threatens one or another farm.
Digital sensors that measure the chemical composition of soil, air and water are placed in the soil of farms and farming lands. Information from the sensors is transmitted to a single repository, where it is processed and prepared for subsequent analysis. Thus, you can get a report on the development of a land plot at a particular moment, and if collecting data for several years in a row, you can even make forecasts and prevent crop failures.
Farm owners can collect information on the price of products to sell them at higher prices. Big Data allows them to calculate the number of products and delivery time. They can also consider risks, calculate costs and expenses and compare their chances with those of the competitors.
Manufacturing companies help buyers to learn more about how the food is made. For example, Chicken of the Sea writes a number on each can of canned food. If you enter it on the website, you can find information about all stages of its production.
Many brands label their products with smart labels or QR codes, so that customers know all the information about the products.
Carrefour also uses blockchain technology to track products that is sold in their stores.
Food companies are becoming more open to customers. Consumers are considered and guided by their preferences; they can influence the assortment and control the quality of goods.
With data analysis technologies, consumers can trust the companies, products of which they buy. In addition, Big Data helps to make products healthier and facilitate the work of manufacturers.