About the Client

Founded in 2012, the client is one of the world’s leading online food ordering and delivery platform. Based out of Austria, the company has over 100+ restaurants and retails chains associated with its brand name.

Business Challenge

With the growing competition from different brands globally, food delivery companies are now combating the challenges using advanced predictive data analytics solutions. Today, a common challenge faced by food delivery companies revolves around analyzing the data that’s available by tracking key metrics to measure performance, sales, and improve operations. Moreover, based on the need to manage increasing volumes and types of data from hybrid environments, food delivery companies also face challenges around data warehousing and data management.

Our client, a leading food delivery company, was looking to leverage predictive data analytics to analyze historic sales and customer data sets to understand its sales processes and customer needs. Though the food delivery firm had an on-premise business intelligence (BI) solution to analyze data sets and generate reports, their siloed data management system posed several challenges that curtailed its ability to do so.  This is when they approached Quantzig looking to leverage its predictive data analytics capabilities to bring about a significant improvement in their business process in terms of revenue, customer satisfaction, and market position. Additionally, they wanted to deploy a scalable analytics-driven framework to manage the huge volumes of data sets obtained from disparate sources.

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Solution Offered

Quantzig’s predictive data analytics solutions helped the client deploy a custom-built solution to gain insights into customer preferences and market trends. The engagement comprised of three phases each of which played a crucial role in collecting, segmenting, and analyzing their business data.

Phase 1

Quantzig’s predictive data analytics team worked with the food delivery firm to help them frame problem statements and offered actionable insights based on data analysis, predictive analytics, market trend analysis, and reporting.

Phase 2

In phase two, our predictive data analytics experts leveraged non-SQL unstructured data, descriptive and predictive data mining techniques, and data visualization tools to deliver self-serve reports & a build a robust framework for data management. Our predictive data analytics solutions offered meaningful customer insights from high-level traffic data to granular insights on click behaviors.

Phase 3

The final phase revolved around the implementation of a robust predictive data analytics framework that focused on improving their ability to manage complex data sets from hybrid environments.

Request for more information to learn why food delivery companies are leveraging analytics to gain a competitive edge.

Result

With Quantzig’s predictive data analytics solutions, the online food delivery services provider was able to:

• Gain real-time insights to boost sales
• Offer personalized recommendations
• Increase sales by shortening the path to order
• Improve data management ability