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Lieferando Streamlines Marketing and Sales Activities with datapine
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Food & Beverage
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
- Real-Time Location System (RTLS)
Services
- Data Science Services
The Challenge
Lieferando, an online food-ordering service, was facing challenges in combining marketing and sales data in real-time. They needed to optimize their marketing campaigns and have a comprehensive view of the entire customer lifecycle. The requirements included real-time, self-service access to information, enterprise-caliber BI capabilities for multidimensional analysis, and low implementation time and cost.
About The Customer
Lieferando is an internationally operating online food-ordering service. As part of the takeaway group, it has more than 400 employees globally. The company's mission is to provide a fast and easy way for customers to get their favorite foods. Based in Berlin, Germany, Lieferando operates in the marketplace industry. The company was looking for a solution that could help them combine their marketing and sales data in real-time, optimize their marketing campaigns, and provide a comprehensive view of the entire customer lifecycle.
The Solution
Lieferando implemented datapine, a business intelligence and data analytics solution. This provided them with real-time, self-service access to information and enterprise-caliber BI capabilities for multidimensional analysis. The solution was implemented with low time and cost. With datapine, Lieferando was able to create real-time dashboards to monitor all major business operations through customized Key Performance Indicators. This allowed them to instantly act on changes and adapt better to new business challenges right when they occur and not weeks or even months later. Every employee could independently generate all the insights they needed, without having to request a report and wait hours until they receive the results from the IT-department.
Operational Impact
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