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Super-Local Solutions for Personal Deliveries: A Case Study on Pickup's Real-Time Service
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
- Transportation
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Real-Time Location System (RTLS)
- Track & Trace of Assets
The Challenge
Pickup, a division of La Poste and DPDgroup, is the leading collection point network operator in France. It offers shipping services through nearly 10,000 online retailers in France and is available in 28 countries with over 58,000 collection points worldwide. The company is constantly developing its network to respond to the increasing number of parcels being shipped, a situation that has been exacerbated by the COVID-19 pandemic. Pickup uses geomarketing studies to adapt its network based on population density, aiming to offer the most convenient pickup shipping service for consumers. However, the company faced a significant challenge in managing its network. It needed a solution that could use data to update the network in real time, allowing it to identify precisely the areas that needed strengthening.
About The Customer
Pickup is a division of La Poste and DPDgroup and is the leading collection point network operator in France. It offers shipping services through nearly 10,000 online retailers in France and is available in 28 countries with over 58,000 collection points worldwide. The company is constantly developing its network to respond to the increasing number of parcels being shipped, a situation that has been exacerbated by the COVID-19 pandemic. Pickup uses geomarketing studies to adapt its network based on population density, aiming to offer the most convenient pickup shipping service for consumers.
The Solution
In 2016, Pickup sought the services of Alteryx via MicromarketerG3, an Experian solution with an Alteryx engine, to overcome its network management challenge. This solution was expected to provide real-time updates to the network using data, enabling Pickup to identify the areas that required strengthening. The Alteryx engine, integrated into the MicromarketerG3 solution, was expected to provide the necessary real-time geographical information that Pickup needed to manage its network effectively. This solution was designed to help Pickup adapt its network based on population density and offer the most convenient pickup shipping service for consumers. By leveraging this solution, Pickup aimed to respond to the unprecedented increase in the number of parcels being shipped, particularly in the context of the COVID-19 pandemic.
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