Food and beverages are essential to everyday living. Companies in the food and beverage industry are thriving and busy in all their operations. But historically, food and beverage brands have struggled to meet the volume of orders they receive every day. Foods and drinks prepared by eminent chiefs had high demand. It could take months and years for customers to receive their orders. But big data in association with AI solves this problem. In this post, let’s see the usage of big data in the beverage industry.
Predict Customer Arrival Times
Breweries know who their distributors are, and they plan accordingly. But it happens that a customer shows up at the brewery unexpectedly. It would create more pressure on the workers to produce more. Likewise, it would increase the wait times for other customers. They have to wait for some days until they receive their order. Breweries struggle with this unpredictability, and the workers struggle with planning the number of beverages they have to make every month.
AI and big data provide food insights that help enhance customer experience. Brands can get notifications about the arrival time of customers. Moreover, big data provides estimated wait times for the customers who have placed the orders. Sometimes they get too many customers and lack enough customers at other times. Big data helps them create a model that ensures that customers receive their orders as early as possible.
Big data helps breweries collect information about traffic, temperature, and routes. It allows them to take precautions, and deliver their orders faster. The pandemic has changed customer behavior. However, big data helps brands adapt to the food trends in 2022. Artificial intelligence in the food industry allows them to be flexible and agile.
Driving Customers to the Store
Big data helps businesses drive more foot traffic to their stores. Smartphones today have a GPS function. Through the GPS function, brands can receive data about customer behavior. They can trace a customer’s purchase history and send offers and discounts to drive them to the store.
A customer could stand in the food aisle of your competitor. To make him visit your store, you can send them discounts based on their purchase history. When they realize that they would get the same product at a lower price, they will visit your store. You can also customize your offers according to the food trends in 2022. Artificial intelligence in food industry helps brands to boost their competitiveness.
Big data also helps identify the most popular beverage types in specific regions. Also, you can get food insights that help you attract the locals. With that information, you can avoid the situation of beverages running out of stock. Your customers will realize that your brand can always cater to their needs without delay. Happy customers will refer you to their friends.
Identifying channels bringing you more revenue
Beverage businesses now have more control over their marketing campaigns. As people have smartphones and smartwatches, you can collect customer data in large volumes. Data helps brands identify where most of their revenue is coming from. They can now track sales in restaurants, hotel chains, and malls. Companies no longer have to engage in mass marketing, instead, they can focus on the areas where their campaigns are working well. In this way, big data helps them prioritize quality and saves a lot of money in marketing.
Smart Pricing Strategy
Usually, companies have fixed prices for their products. However, with the arrival of IoT and big data, they can now experiment with different pricing strategies. Brands can raise the prices and find how it impacts sales. In addition, AI helps them set dynamic prices according to local preferences, customer interests, various festivals, and seasons.
Companies should focus on keeping existing customers as much as getting new ones. When they do not cater to the interests of existing customers, they will suffer heavy losses. It will add more unpredictability to the business and affect the incoming cash flow. On the other hand, retaining a customer is relatively easy than acquiring new ones.
To ensure that customers do not leave your brand, start with finding their interests and preferences. Big data allows you to collect data and develop insights to boost customer loyalty. Based on the insights you get, you can create loyalty programs and send discounts so that your customers will stay with your brand.
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