Food delivery through the internet is becoming more popular in India. Food delivery platforms like Zomato and Swiggy have seen explosive growth in their user bases. According to an online survey, India’s food supply sector is predicted to reach $4 billion by 2020. Online food supply firms are using artificial intelligence to improve client experiences, drawing inspiration from this breakthrough.
The following case is being discussed: In India, the Swiggy Growth Saga
Swiggy has had phenomenal growth over the last two years. From 2 billion in October 2017 to 40 billion in January 2019, the number of encounters has increased dramatically. Swiggy’s restaurant count has increased from 12,000 to over 55,000 in the same time span. In the same span, the number of food-delivery people has increased from 15,000 to 120,000. All of these figures point to one thing: the corporation is now looking beyond human connections to keep up with the industry’s speed. Investing in technology such as artificial intelligence (AI) has already started to assist their systems in keeping up with the industry’s fast expansion.
This Bengaluru-based firm is also looking forward to expanding its data archive, which might be related to an increase in the number of contacts.
AI aids Swiggy in distinguishing between vegetarian and non-vegetarian foods. The use of natural language processing (NLP) allows the firm to expand its geographical reach without having to deal with any cultural obstacles. This enables the organization to do searches using common phrases that consumers may use to get accurate results. Swiggy also receives a customized UI depending on its clients’ individual demands or preferences.
Swiggy has been employing AI for a moment-series-based market powered by a prediction model in the restaurant industry. It can help its partners plan ahead of time for incoming needs. Swiggy may also use artificial intelligence to guarantee that they service their clients with high accuracy and deliver on their promises quickly and effectively.
India’s Online Food Delivery Market
According to research conducted by a business consulting company, India’s food delivery sector is expected to grow at a CAGR of more than 16 per cent. It is predicted to be valued at $17.02 billion in 2023. According to the survey, a big number of the respondents prefer to purchase meals online because of the promotional offers and rebates they get in return.
The convenience is given, as well as the varied number of kitchens on a single platform, are all reasons for ordering meals online. Bengaluru is also the city with the highest internet orders, according to the report. According to the findings, there has been a growth in the number of logistics providers providing food delivery firms with the goal of optimizing their fleet and reducing delivery times.
Online food distribution platforms are increasingly concentrating their managed delivery operations on designated sector acquisitions, allowing them to partner with logistics firms.
AI in Food Delivery: Use Cases
1. Timely planning
AI allows online food-ordering firms to arrange their operations more effectively. Many AI firms operating in India have teams devoted to the fast-growing food-ordering business. There has also been flexibility in the planning environment for scenarios such as peaks and dips that occur throughout the company’s lifespan.
2. Identifying and Predicting Mandates
In terms of demand, some companies are currently embracing AI to better their logistics. Food ordering is a resource-intensive business, and distribution and logistics are equally complicated. To maintain steady movement and break time, each delivery agent’s time must be maximized by choosing the best delivery route. This efficiency-oriented strategy may be improved using AI and Machine Learning technology.
3. Enhancement
Optimization based on data insights aims to provide the best route to the nearest distribution agent while also maximizing the user’s request. AI is now being used to create better lists for consumers to choose from. Customers are also urged to improve the way they place their orders. This information is fed back to the algorithm, which is subjected to numerous tests in the background. The food supply companies also collaborate closely with AI service providers to ensure that the companies achieve the best results possible.
4. Technological Change
On a global scale, food-ordering companies have partnered with market automation consultants and suppliers who can quickly produce the best AI solutions. Food delivery companies also work with AI technology companies to develop a more attractive service than their competitors. Food delivery services must also keep an eye out for local and international competition.
5. Expanding services beyond the norm
AI is used by several fast-food companies to improve the ordering experience. This might be anything from employing intelligent voice assistants to place food orders to having a more essential and streamlined online presence. Hotels and other food establishments are currently attempting to improve their ordering systems. It may be programmed to deliver the most appealing material for its internet presence using AI. By offering a voice-enabled AI system for ordering meals, the companies are seeking to create a new category in the food ordering sector.
India’s Artificial Intelligence Future
The availability of large data sets, gains in processing capabilities with the introduction of parallel GPUs, advancements in cloud technology, and the increased complexity of machine learning and self-improving algorithms are all contributing to global AI development. AI has been a part of customers’ lives for some years. AI has evolved into a one-stop shop for all technological challenges.
According to a tech giant’s assessment, AI has the potential to add 15%, or $957 billion, to the current gross value of the Indian market by 2035. India came in third among the G20 nations in terms of the number of AI-focused start-ups (in 2016). From 2011 to 2016, its value increased at a CAGR of 86 percent, which is greater than the world average.
Advantages of AI in The Food Delivery Business
In the online meal ordering sector, AI and Machine Learning seem to be everywhere. Have you looked into these yet? If not, here’s a chance to see how it works:
Improve Delivery Time
Customers of online meal delivery services are impacted not only by the quality of the food but also by the time it takes to get their orders. The dispatch of a delivery partner to pick up order products on time is one of the most difficult difficulties for online meal delivery firms.
Consider how excellent food can be if it does not reach customers on time, no matter how deliciously prepared it is. As a result, timeliness is critical for any online meal delivery service. The popularity of these businesses is determined on how quickly they fulfil orders.
AI and machine learning aid in the collection of real-time data regarding traffic flow, routes, weather, a destination address, and other factors in order to identify the shortest route and plan for ensuring the earliest meal delivery of orders while avoiding any stumbling blocks.
Customer Relationships Improved
The growing use of AI and machine learning in the online meal delivery sector has boosted the popularity of chatbots significantly. Virtual assistants are being used by restaurants to deliver a more customized and enhanced ordering experience for their customers.
Chatbots are accessible 24 hours a day, seven days a week to offer customer service by engaging customers and consumers with relevant information based on their inquiries and queries.
Determine who your most valuable customers are.
Any company’s success is determined by the consumers who provide the greatest value. It may, however, be difficult to classify your high-value consumers. By delivering comprehensive insights about the target client base, potential customers, and more, AI and Machine Learning technologies assist company owners to solve that challenge. It also aids in the prediction of potential consumers based on an examination of current customers’ behaviour and qualities.
Personalization Boosted
Instead of spending time studying where to purchase food or what food to buy, today’s clients want a more sophisticated approach to ordering meals. By offering the correct food products at the right time, AI and ML provide personalisation based on client profiles. Customers may use food delivery applications to choose their favourite meals from a menu of recommended options.
Location, hobbies, purchase history, and other variables are gathered on a regular basis in order to offer customized recommendations to individual users. Online food service firms, for example, can forecast client preferences by looking at consumer data. It provides more precise information on the sort of food, the amount of food, the time of day, the area from which a customer is likely to order, and other factors. Consumer behaviour patterns like these may assist determine where food delivery personnel should be stationed and when they can anticipate being busiest.
Find Out What’s Trending
Any company must be aware of current market trends in order to maximize its development potential. Similarly, it applies to internet meal delivery services. Businesses may use AI and Machine Learning to research important market trends. They figure out the best methods to put it to work for their company’s success.
Workflows That Are Automated
Leading online meal delivery companies have begun to use AI and machine learning to revamp their processes and increase operational efficiency.
Managing food inventory manually is a time-consuming operation, and bad inventory management leads to stock outages, product waste, and price problems. Leaving inventory management to Artificial Intelligence technology, on the other hand, saves time and reduces product waste by producing correct results.
AI examines food products that are out of supply, old, damaged, or expired, as well as out-of-season, using Machine Learning and image recognition technology. It delivers real-time alerts to the in-charge employees, allowing them to detect and respond quickly.
Search Results That Work
The online meal delivery service has a wide range of alternatives, including restaurants, cafés, pubs, and more, all of which are primarily reliant on social media ratings and reviews. In an online meal delivery service, artificial intelligence (AI) gives the customer a recommendation for a local restaurant or café. By generating preferences from the available information, it is likely to appeal to their taste.
Identifying and Predicting Food Trends
Based on billions of data analyses, AI and ML deliver up-to-date food business insights, projections, and new food trends. It allows food delivery firms to adapt and profit from the new flavours/ingredients that consumers are most interested in, allowing them to effectively satisfy client demand.
Estimate the Time of Delivery
Machine Learning allows enterprises in the online meal delivery market to measure the time spent on previous deliveries. It is based on the assumption that it predicts the amount of time that will be paid to execute future deliveries.
Searches by Voice
Voice search is preferred by over 27% of the worldwide internet population over typing on their own. Voice search seems to be gaining traction among customers looking for restaurant information and placing food orders.
Food companies may use technologies like Amazon Alexa to allow their customers to order from anywhere at any time without having to lift a finger.
Conclusion
The unrivalled experience and talent that AI and Machine Learning provide to online food companies are already catapulting the sector forward. It leads to fewer human mistakes, less food waste, and cheaper storage/transportation expenses, resulting in happy consumers who get prompt and effective service.
