Qlik Case Studies QlikView Customer Snapshot – Emons
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QlikView Customer Snapshot – Emons

Qlik
Analytics & Modeling - Real Time Analytics
Transportation
Logistics & Transportation
Fleet Management
Supply Chain Visibility
Data Science Services
Emons Spedition, a transportation and logistics company, was facing several challenges. They needed to optimize transport by conducting a detailed analysis of dispatch and merchandise structures. They wanted to identify the links between weight, volume, and timing with reference to price. They also required greater cost transparency. The manual evaluations based on the Euromistral ERP system were too laborious and time-consuming, making it difficult for them to achieve their goals.
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Emons Spedition is a transportation and logistics company that falls under the Consumer Products, Retail and Distribution sector. The company was established in 1928 in Cologne and has since grown to have 1,800 employees and 40 branches worldwide, 18 of which are in Germany. Every day, 130 Emons Spedition lorries are on the roads, as well as 900 sub-contractor vehicles. The company processes approximately 10,000 client orders daily, making it a significant player in the transportation services sub-industry.
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Emons Spedition implemented QlikView for finance, transport, sales, management, and IT. The solution allowed them to monitor orders, understanding how specific orders develop over time, the relationship between the number of orders and the number of clients, and the links between turnover, weights, and costs. They were also able to optimize transport by evaluating situation, item, and pallet prices regardless of size and weight, and conducting utilization analyses by destination location or packaging units. More than 35,000 data records are analysed daily, down to dispatch item level, providing the company with detailed insights into their operations.
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Speed and detailed depth of evaluation
Identification of correlations between traffic flows or the success or failure of new products
Evaluations of geographical workload and lorry-capacity utilisation.
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