{"id":1069,"date":"2018-05-29T06:10:34","date_gmt":"2018-05-29T06:10:34","guid":{"rendered":"http:\/\/clavax.cladev.com\/?p=1069"},"modified":"2021-10-14T13:04:07","modified_gmt":"2021-10-14T13:04:07","slug":"how-big-data-is-revolutionizing-restaurant-industry","status":"publish","type":"post","link":"https:\/\/www.clavax.com\/blog\/how-big-data-is-revolutionizing-restaurant-industry\/","title":{"rendered":"How Big Data is Revolutionizing Restaurant Industry"},"content":{"rendered":"

We\u2019re amid a technologically intelligent era, where manual endeavor seems too old school! Every industry is going through a revamp adapting distinctive, rather offbeat strategies and approaches to generate higher profit margins and extend business possibilities to the next level.<\/p>\n

The online food delivery platforms are expanding choice and convenience, allowing customers to order from a wide array of restaurants with a tap on their smartphone. According to McKinsey, \u201cWorldwide, the market for food delivery stands at \u20ac83 billion, or 1 percent of the total food market and 4 percent of food sold through restaurants and fast-food chains. It has already matured in most countries, with an overall annual growth rate estimated at just 3.5 percent for the next few years\u201d<\/p>\n

Big data analytics plays an imperative role in driving palpable profits to business, and the restaurant industry is all set to experience revolutionizing impacts in understanding customer needs edge to edge. Providing customized services, aiming abounding customer generation through the\u00a0restaurant software solutions<\/a><\/strong>\u00a0tailored to their requirements.<\/p>\n

How Restaurants benefit from Big Data?<\/strong><\/p>\n

Every Restaurant, caf\u00e9, food delivery chain or even a mini store constantly generate data, it may not just be customer itineraries, it\u2019s a lot more! Including delivery locations, GPS, images, social media insights, customer reviews, blogs\/articles etc. It also contributes to generating data of the average wait time, experience with delivery, food taste, menu availability on the website, customer loyalty card information and the stock inventory.<\/p>\n

While a massive data is generated every day, the food delivery business needs to combine the unstructured data with the transactional and sales data in the store making a wider analysis on generating a better reputation resulting in increased revenue.<\/p>\n

Practically used Big Data Analytics<\/strong><\/p>\n

It may be a matter of sentimental analytics through combining different unstructured data, however, restaurant delivery chains are emphasizing and basing future strategies based on predictive analytics. Biggies including GrubHub, DoorDash, Munchery etc. are some of the leading chains basing their entire revenue generation model strategy on\u00a0Big Data Analytics<\/a><\/strong>.<\/p>\n

GrubHub<\/strong>\u00a0makes use of Big Data to generate online ordering patterns, filtering gender-based specific tastes data. The analysis helps the restaurant in making the best use of their menu providing cuisine\/taste\/food specific based recommendations to the users.<\/p>\n

DoorDash<\/strong>\u00a0makes use of a combination of Big Data & Machine Learning to study the food demands, stock inventory and the number of staff including delivery persons. This makes easy for them to arrange drivers on duty and food stock preparation which can save time & money along with gaining customer trust.<\/p>\n

Munchery<\/strong>\u00a0makes use of predictive analysis through a platform developed by Salesforce- Desk.com, which connects with the Muchery software and track order history, food preferences and social media data of the company.<\/p>\n

Usage of Big Data Analytics for every Restaurant Chain<\/strong><\/p>\n

Restaurants are capable of driving performance with the right use of advanced analytics, ask your big data solution providers for detailed insights into the untapped possibilities through Analytics!<\/p>\n