Laughter is brightest where food is best. – A famous Irish proverb
Being a premier Big Data Analytics service provider, we know the impact that data analytics can have on a business. Having a robust Big Data Analytics system can have a positive impact on the bottom-line of a business.
Let us analyze how data can help you in your endeavor to become a successful food delivery company.
Big Data Analytics in the food industry helps you in understanding the preferences of your customers accurately. By analyzing the choices, you can tweak your offering to suit the taste of your customers. This will help you in improving the average revenue per user.
🔹 Improve your menu
By using Big Data in the food industry, a food delivery app can gather the feedback of the customers regarding the items on the menu of various restaurants registered. It can then suggest the restaurants regarding the menu items that can help the restaurant in increasing its revenues.
By changing the menu items, restaurants can boost their operational efficiency. They can also offer more promotions on popular items and generate more sales.
🔹 Provide faster deliveries
There are a lot of factors involved in the success of food delivery apps. The most prominent being fast delivery time. If a food delivery app can provide faster delivery times to its users as compared to its competitors, then it will significantly outperform its competitors.
Although the process of taking freshly cooked food from restaurants and delivering it to the customers may seem simple, there are many difficulties which need to be tackled.
Using Big Data Analytics systems, a food delivery app can monitor various elements like traffic, roadblocks in the route, climate conditions, and give the shortest possible path to a delivery person, ensuring that the food is delivered in the fastest possible manner.
The Artificial intelligence(AI) and machine learning systems can provide real-time updates to the delivery person so that he/she can change the route and ensure that the customer always gets the food in-time.
🔹 Analyzing customer sentiment
In today's world, where social media is playing an essential role in deciding the success or failure of an app, you cannot afford to ignore the customer sentiment on social media. Using Big Data Analytics, you can gauge the inclination of the customers towards your brand.
Are your efforts paying off? Are your delivery persons delivering the food quickly? Are your customers happy with your overall performance? You can get the answers to all these questions and more after analyzing the social media chatter using a Big Data Analytics software.
Big Data Analytics software will compile and analyze all the mentions of your brand across various social media handles like Twitter, Instagram, LinkedIn, and Facebook. You can then drive your business decisions based on this data.
🔹 Predict demand through smart algorithms
By using a smart Big Data algorithm, a food delivery app can predict the customer's next order. It is easier than you think; by analyzing the browsing history of a customer and the past order data, the food delivery app can predict when the customer is most likely to order.
For example, Joe is a customer who usually loves to eat cheeseburgers during dinner on weekends. A food delivery app can partner with Joe's favorite restaurant and offer him some promotional discount on his favorite cheeseburger. The app can also nudge Joe to eat healthy by offering him various other options.
By using predictive analytics, a food delivery app can estimate precisely how many customers will order during a particular time of the day or week and from where. For example, it is common knowledge that their beer sales spike up during big match days. But, a predictive analytics algorithm can tell you exactly which brand of beer will sell in which area of the city.
A Big Data Analytics software can prepare the online food delivery app for an upsurge in sales, and help you in maximizing your revenue as you can stock-up the restaurants for this spike. You can also tell the restaurants to offer spicy sausages and chicken wings along with beer, thus presenting the restaurants with a wonderful up-selling opportunity.
🔹 Improve customer loyalty
Who doesn't like special treatment? By using Big Data Analytics, the food delivery app can ensure that its customers get special treatment. By analyzing the trends, a food delivery app can cater to a wonderful experience for its customers. This gradually results in increasing loyalty and revenues.
By analyzing unstructured Big Data, a food delivery app can derive meaningful insights from the data and understand customer sentiments. It will help in improving the customer affinity towards your brand. Your food delivery app will come across as an app that really thinks about its customers.
Some examples of food delivery apps using Big Data Analytics
🔹 Munchery
Munchery is an app that has delivered more than 3 million meals, and that too, with an average delivery time of 40 minutes. The idea behind munchery is to differ its offering by providing chef-made gourmet take-out food to its customers.
Each chef at Munchery has access to a menu that is popular in the city in which the chef resides. Customers can leave their feedback on the Munchery website about a particular menu. This data is then analyzed by Munchery using Big Data Analytics algorithms to identify which items are popular in a particular city, and Munchery then provides this data to its chefs.
🔹 Sprig
Sprig is a food delivery company specializing in organic food deliveries. The company utilizes Big Data Analytics algorithms to estimate how many customers will order a specific menu item, the location, and the time of order. This helps sprig in positioning their supplies in such a manner that it is able to provide blazingly fast deliveries to its customers.
🔹 The Dessert
As we can see, major food delivery companies are already leveraging the power of Big Data Analytics to sell their customers in a better manner. If you are a stats person, here are some charts on big data that will surely add to build your perspective.
Big Data Analytics has made the food tastier because it made the deliveries faster and made the process of delivering food much easier. Hire a Big Data Analytics Company to help you in deriving insights from your data. You can check out the Big Data Analytics trends to follow in the upcoming years, if you are interested in knowing more about the game-changing innovations in Big Data Analytics.