Today, data science is not limited to the IT industry only. It’s broadening its paths and able to add more and more value across all industries. The result is unbelievable; a massive spike in business profits that led to more sales and better targets reached.
Many industries are exploding due to data science, and one such in the list is the food industries. Due to the application of data science and other cutting edge technologies, food businesses have gone online, partnering with the best restaurants, hundreds of thousands of delivery executives in the city, and delivering mouth-watering foods at the customers’ doorsteps.
Exclusive discount coupons and delicious food items on every occasion hold smiles on customers’ faces for a long time shaping a better future for food industries.
Here are the 6 (eye-opening) ways of how data science is adding more value to food industries by creating enormous opportunities for small restaurants to go big and grow better. Directly interact with their customers, and know their choices & preference to deliver the best.
Best-in-Quality Food Deliveries
Why do people stick to the same choice and tastes when it comes to food? They are even ready to go for miles to have food from their favorite restaurants. It’s because that brings them satisfaction and delight in having food.
Customers always expect the same taste of food at the place they love. It’s easier to say and a real challenge to maintain throughout. The taste of food doesn’t only depend on ingredients but also depends upon various factors that include – quality, storage, and time of preparation.
With the advantages of the internet, data science, ML, AI, and other technologies, you can book your favorite items on the web or apps and get notifications about food availability, along with customer reviews, ratings, and price tag.
Market Basket Analysis For New Opportunities
Market Basket Analysis is an advanced technique of analyzing and predicting the most obvious items that a customer is likely to purchase next. The analysis and predictions are majorly on purchase history and food items currently on their cart.
Based on these analyses, data scientists help food industries like food retailers and restaurants to create various combo deals, huge discounts using FOMO and reach their marketing messages to more number of customers.
On-Time Doorstep Delivery
One of the best strategies that make marketing more effective over online platforms is on-time delivery. It brings more trust and gives more reasons to choose online. When a customer orders foods online, using data science technologies, the food industries show predictions about how long food will get delivered at the doorsteps through information about vital processes they go through.
Data Scientists track everything and send customers notifications about which route the delivery is coming to your location and how long it will take him to reach there with real-time experience. Nobody likes to wait more than the given time, and when it’s about food delivery, they need it even before time.
Sentiment Analysis For Better Understanding
Sentiment Analysis is the advanced method of monitoring customers’ emotions over social media platforms. Using some of the cutting-edge technologies of data science, machine learning, and artificial intelligence – Natural language processing, Logistic Regression Using R, and data analysis tools using which they categorize into three categories – positive, negative, and neutral.
Food industries use this data analysis technique to analyze their customers’ emotions on a scale of the above three categories. If any negative reviews, that will help to take prevention on what they are going wrong and how to improve their business. This technique is highly beneficial for large-scale food retailers like McDonald, KFC, PizzaHut, Dominos, Swiggy, and Zomato.
These sentiments are testimonials about the food that other customers are seriously looking to make decisions before they make any purchase.
Hassle-Free Customer Services
Managing so many customers is never an easy job. Nowadays, customers come in many ways – physical store, mobile app, website, social media, and other review sites. All these collectively impact the customer experience and their level of satisfaction.
Data Science plays the most significant role in the food industry to store data about the customers and their details so that every time customers make a purchase. They need not have to fill in the details from the beginning. Instead, data gets stored in cloud computing or the database. So that the database has all the required data to place the order and purchase because business knows customers will never wait for a long time; they need everything instantly and hassle-free.
Therefore, data scientists use machine learning algorithms, NLP, data visualizations, data mining, decision trees, random forest to extract meaningful insights and to provide the best user experience.
Supply Chain Transparency
Every business needs to have clear-cut ideas about the supply chain and its transparency. These food retailers order a bulk amount instead of going for small. They use prediction analysis based on orders, and this helps the food industry to never go out of the stock on their limited-edition items that have the highest demand in the market.
Through transparency, food industries and retailers improve their relationships with customers, build more trust and connections, deliver high-quality, and build authority using hazard free and easily disposable materials.
Technologies like big data analytics and IoT and other connected sensors help food retailers to monitor food and beverages throughout their entire shipment and delivery process.
Conclusion
Applications of data science and other cutting-edge technologies in the last decade have scaled food industries to massive profits, more customer satisfaction, and more trustworthy. More than offline, people are relying on online food that gives them massive discounts and more delicious food with finger-licking tastes. Therefore, the food industry is growing enormously with the ability to make so much business, connecting more with customers’ emotions and delivering the best.
User experience and customer satisfaction matter a lot when coming to any business as the growth of any business depends on these two factors, and the above six points are about how data science and other technologies help food industries to achieve these two goals and maximize the profits.