Quantzig, a global data analytics and advisory firm, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of its latest article that explains how big data can help supermarkets.
Our #bigdata analytics team has packaged its first-hand experience into an advanced portfolio of big data analytics solutions that make it easier to integrate and analyze data from disparate sources.
Considering the competitive retail landscape, running a grocery chain can be challenging. There are numerous products to manage, many of which spoil quickly, often resulting in wastage of products. With the profit margin for grocery retailers typically ranging between 1% and 2%, careful planning and strong marketing are essential. There are many ways big data and the strategic use of food and beverage analytics solutions can facilitate this by contributing to the bottom line.
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Big Data in the Food and Beverage Industry: Use Cases
Big data has revolutionized businesses across the globe and the food and beverage industry is no exception. Today, the application of big data in the food and beverage industry is so extensive that it impacts every aspect of the business right from inventory optimization to transport and logistics management.
- Analyze customer sentiments
- Drive in-store sales
- Maintain food quality
- Enhance customer loyalty
- Create personalized marketing messages
According to Quantzig’s big data analytics experts, “Big data analytics is the key to unlock insights from your business data, as it empowers you to analyze and integrate all of your data at once to generate the insights needed to drive customer satisfaction and loyalty.”
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Why Choose Quantzig as Your Next Big Data Analytics Solutions Provider?
At Quanztig, we understand the challenges faced by businesses across industries and to skillfully address this issue our big data analytics team has packaged its first-hand experience into an advanced portfolio of big data analytics solutions that make it easier to integrate and analyze data from disparate sources, offering a unified view of organizational data sets. Here are a few more reasons why you should consider collaborating with us:
- Domain knowledge and learning-driven mindset
- Flexible white box solutions
- Agile, robust, and innovative big data analytics models
The staggering volumes of data and the complexities associated with them make it challenging for businesses to analyze data sets and extract meaningful insights.
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