How people buy food has drastically changed with the evolution of technology. Would you have believed two decades ago if anyone said you can order food from the nearby restaurant within a single click and the food will be delivered at your doorstep. Definitely not right. But this is now a simple one as anyone can order food anywhere and the food will be delivered to them in minutes. This is the power of food delivery apps in recent days. This convenience of ordering food online has increased and led to the significant rise in the number of online food delivery services.
In 2017 the total revenue in the online food delivery market is 0.24 Trillion USD and it is projected to reach 1.92 Trillion USD within 2029. This stat shows the popularity of online food delivery apps and their future growth.
As the technology continues to evolve food delivery apps have also updated their uses and make them more efficient by incorporating advanced technologies. In this blog we will dive into the advanced technologies adopted by the popular food delivery apps around the world to make their service efficient and increase user base.
Popular Food Delivery Apps that Adopted Advanced Technologies
Uber Eats
Uber Eats is one of the popular food delivery apps worldwide that has incorporated many advanced technologies to make their service efficient and easy for customers to use. Launched in 2014 UberEats is currently serving 45+ countries and 6000+ Cities world wide.
Ubereats has incorporated an Artificial Intelligence based chat assistant to help people find deals, explore restaurants and various food options and get answers for their queries instantly. They also launched a separate section called Sales Aisle to get promotional offers. If you build an then make use of these features.
In Order to reduce the wait times of the delivery partners at the restaurant, Uber Eats implemented Machine learning into their system which will assign a delivery partner closer to when the food is ready. This implementation helps to optimize delivery times and improve experiences for the ones involved in their food ordering and delivery process.
DoorDash
DoorDash, a San Francisco–based online food ordering and delivery app, has incorporated an AI chat assistant called Dash AI by partnering with ChatGPT to speed up the food ordering process. This lets customers easily search the food options and order them.
In addition to AI based chat Assistant to help customers, doordash has incorporated voice ordering capabilities with the help of AI for Restaurants. This functionality helps restaurants to attend all phone orders and increase revenue.
According to research, 50% of phone call orders to restaurants are left unanswered due to limited resources to attend calls. By incorporating live chat agents with the help of AI, All calls can be answered and orders can be easily processed.
Grubhub
Founded in 2004, Grubhub is a United states based online food ordering and delivery platform serving 32 million active customers. Grubhub has utilized artificial intelligence into their systems to optimize delivery routes for delivery partners. Often delivery partners find it difficult to find the shortest routes to deliver the order. Most of the time they struck due to traffic or bad weather conditions. This results in delay of food delivery.
Inorder to tackle this popular food delivery apps like Uber Eats, Doordash, Grubhub has utilized AI to find the best delivery routes possible with less delivery time.
Artificial intelligence AI analyzes the vast amount of data such as traffic patterns, weather condition reports gathered from various sources in real time. By researching these data AI figures out the most efficient delivery routes for driver partners. This helps in minimal delivery time and lots of orders can be completed within a short span of time.
Instacart
Instacart is a San francisco based grocery delivery platform operating in the United states and canada. With an estimated 14 million active users Instacart generated a revenue of $3 Billion in 2023 which has increased from $10 million in 2013.
To deliver an incredible customer experience to its users Instacart makes use of Predictive analytics and Machine learning. With the help of machine learning Instacart predicts the availability of hundreds of millions of Items in real time. This is done by analyzing three data such as the time since the item was last observed, whether an item was found by a shopper, and past order data of the item.
By embracing cutting-edge data and analytics techniques Instacart provides a seamless customer experience to their users. This also helps them stand out as a popular one among the competitive grocery delivery market.
Dynamic Pricing Adopted by All Food Delivery Apps
Addition to these features, popular apps such as Uber Eats, Doordash, Swiggy, Zomato make use of Dynamic pricing. With the help of artificial intelligence and machine learning Food delivery apps adjust the price of the food items and delivery charges based on the time, demand of the food items, location, and customer loyalty etc.
Delivering With Drones
Even though this is not fully adopted by all food delivery services, every food delivery business is keen and researching on making use of drones to deliver food items. Due to traffic and weather conditions, delivering food items with humans has become more complex. But in the case of drones there will be no traffic distraction so every food delivery business is trying to deliver with the help of drones and robots.
Conclusion
Technologies are continuously evolving, paying way for new innovations in every aspect of human life tech. Like Food delivery apps the whole industry has adopted many new technologies to provide users with great customer experience and satisfaction.
Inorder to sustain this competitive market every food delivery app must embrace the advanced technologies that will help customers in every possible may. There is so much room for new entrepreneurs to enter the food delivery business and capitalize it. Appticz can help you in starting your food delivery business. But remember one thing in this landscape is to understand the needs of the users and build food delivery apps that can satisfy every user and provide a seamless experience.
