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Shippeo > Case Studies > Eckes-Granini Enhances Customer Experience and Reduces Carbon Footprint with IoT
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Eckes-Granini Enhances Customer Experience and Reduces Carbon Footprint with IoT

Technology Category
  • Analytics & Modeling - Machine Learning
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Retail
  • Transportation
Applicable Functions
  • Logistics & Transportation
Use Cases
  • Continuous Emission Monitoring Systems
  • Last Mile Delivery
Services
  • Data Science Services
The Challenge
Eckes-Granini, a leading European producer of fruit juice, was facing a significant challenge in its distribution process. The company's strict slot management rules imposed by retail clients were resulting in high penalties each year. Additionally, the company was making a large number of empty runs for return journeys, which not only increased costs but also contributed to CO2 emissions. The company was looking for a solution that could streamline its operations, increase carrier efficiency, reduce loading times, and lower its carbon footprint.
About The Customer
The Eckes-Granini Group is a leading European producer of fruit juice with a turnover just shy of €1 billion. The company sells roughly 850 million litres of beverages each year and is the leading supplier in Germany. Their products are distributed to over 650 customer delivery sites by 40 carriers, making a total of 35,000 deliveries per year. The company was facing challenges in its distribution process, including high penalties due to strict slot management rules and a large number of empty runs for return journeys.
The Solution
Eckes-Granini partnered with Shippeo to leverage real-time visibility in its distribution process. The predictive and real-time visibility of goods delivery provided by Shippeo helped Eckes-Granini achieve three main goals. Firstly, it reduced loading times and optimized operations at Eckes-Granini locations. Secondly, it increased retailer satisfaction through shorter waiting times at unloading points, enabled by proactive ETA notifications and better availability of goods to customers. Lastly, carriers benefited from more efficient operations thanks to reduced downtime and empty runs. In addition, Eckes-Granini and Shippeo launched a truck space sharing project with the German hypermarket chain Kaufland to avoid empty runs and idle time in logistics. Using a combination of Big Data and machine learning, Shippeo was able to calculate the optimal supply chain between Eckes-Granini's warehouses and Kaufland's locations.
Operational Impact
  • The implementation of Shippeo's solution resulted in several operational benefits for Eckes-Granini. The company was able to reduce loading times and optimize operations at its locations. Retailer satisfaction was increased due to shorter waiting times at unloading points, enabled by proactive ETA notifications and better availability of goods to customers. Carriers also benefited from more efficient operations thanks to reduced downtime and empty runs. Furthermore, the truck space sharing project with Kaufland helped avoid empty runs and idle time in logistics, contributing to a more efficient and sustainable supply chain.
Quantitative Benefit
  • Winner of ECR Award for sustainability
  • Reduced CO2 emissions by 25 tons per year
  • Lowered transportation needs by 40%

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