Big Data in the Food Industry





What is big data?

First things first, what the heck is big data and why everyone is talking about it nowadays? Well, to be straight, big data is awesome once you know it and how important it is to us. We are surrounded by big data and it's applications, we just don't know it yet.

Big data is a technical term which means a very large volume of data both structured and unstructured. Typically, we can analyze big data to generate better insights that lead to better decisions and strategies in business.

Use cases of big data in the food industry

If you are a regular user of apps like Zomato, Swiggy, etc, have you noticed any change in their services? Personally, Yes I have noticed a tremendous change. Their services have been improved significantly, but how? Love, that's Big Data right there!

The market research and engineering team in the food industry using analytics to get insightful information about customers. So that they can improvise their market strategy and stay ahead in a fast-growing competition.

To get a glimpse of power that big data deliver to the food industry. We will walk through some of the use cases of big data in the food industry.

Big data in Action

Delivery

Quality and timely delivery of food to the customer is an inevitable aspect for any restaurant or brands like Zomato, Swiggy, etc. Nowadays, almost all big food delivery networks like Zomato, Swiggy, etc, and a large number of restaurants using analytics to provide the best delivery service to their customer. We can use big data to analyze various factors like traffic, weather, route, peak delivery hours, etc, to provide the proper estimate time for delivering the food.

Customer Sentiment

Customer sentiment is the monitoring of customer emotions or feelings over social media such as Facebook. These emotions of the customer towards a particular brand or its product can be analyzed. This analysis helps the restaurant or brands to improve their services in case of negative feedback by the customer. Social media analysis also helps the food industry to keep track of trending food item in the locality which helps them to market the right product for increased sales and profits.

Targeted Advertising

Just like Google Adwords, Facebook Ads, etc use search data or social activities to analyze the right audience to market the right product. Analytics on such data can also be used in the food industry to identify customer preferences. Restaurants can use analytics to prepare a customized menu for the specific customer which can significantly improve sales.

Market Analysis

Market basket analysis is a technique which predicts the likelihood of which item customer buys the next.

For example, have you ever used an online food delivery app? Sure you have. Have you ever noticed that after adding some delicious food items to your cart during checkout, they provide you with a list of add-on food items which is surprisingly relevant to your purchase? Like buying a McDonald's burger and they start displaying suggestions such as "Hey there, how about some extra fries and Coke", and you are like "Hell yeah, read my mind". See, that's what market basket analysis is doing, predicting next obvious item you would buy after you purchase a certain item.

Quality

Maintaining the quality of food for any restaurant is never an easy task, still, it is the most important. Quality of food depends upon various factors like storage, quality of ingredients, season, etc. Data analytics helps restaurants to better understand the shift in quality caused by variation in the amount of storage or quality of ingredients etc, which further helps them to maintain the quality and taste.


There are other tons of benefits of Big Data in the food industry. Many food start-ups and restaurants are using analytics to improve efficiency and productivity. If you have a small food business and can't afford a costly data engineering team, you can contact data analysis agency like webnotch and get right back at the top of the food chain.