Dataiku Case Studies Logistics Optimization through IoT: A Case Study of Chronopost International

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	Logistics Optimization through IoT: A Case Study of Chronopost International Dataiku

Logistics Optimization through IoT: A Case Study of Chronopost International

Dataiku

Technology Category	Application Infrastructure & Middleware - Event-Driven Application Sensors - GPS
Applicable Industries	E-Commerce Transportation
Applicable Functions	Logistics & Transportation
Use Cases	Last Mile Delivery Transportation Simulation
Challenge	Chronopost International, a member of the La Poste group, is a global provider of express shipping and delivery services. The company promises that all parcel deliveries in France will arrive by 1pm the following day after an order is placed. However, as demand continues to grow, especially during peak periods such as Christmas or Mother’s Day, Chronopost faced the challenge of ensuring they can always keep their promise and deliver parcels on time. The company needed a solution that would help them use and analyze historical data to optimize delivery operations and ensure delivery deadlines are met. Read More
About Customer	Chronopost International is a member of the La Poste group and provides express shipping and delivery services both domestically in France and internationally. In 2013, Chronopost transported 102.2 million packages in over 230 countries in Europe and worldwide. The company operates in the rapid parcel delivery industry and serves a global market. Chronopost promises that all parcel deliveries in France will arrive by 1pm the day following an order, a commitment that requires efficient and reliable logistics operations. Read More
Solution	Chronopost adopted DSS to create a custom application that automatically generates an ease-of-delivery rating for each address. The application takes into account historical internal delivery and retrieval data, analyzes and enriches shipping and delivery data via data aggregation by geographic location, and enables easy modeling of a rating for each delivery. The incorporation of new deliveries into the existing model allows for iteration and continuous optimization of production costs. This solution provided Chronopost with a comprehensive data analysis tool that optimized company processes and internal logistics. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Event-Driven Application

Sensors - GPS

Applicable Industries

E-Commerce

Transportation

Applicable Functions

Logistics & Transportation

Use Cases

Last Mile Delivery

Transportation Simulation

Challenge

Chronopost International, a member of the La Poste group, is a global provider of express shipping and delivery services. The company promises that all parcel deliveries in France will arrive by 1pm the following day after an order is placed. However, as demand continues to grow, especially during peak periods such as Christmas or Mother’s Day, Chronopost faced the challenge of ensuring they can always keep their promise and deliver parcels on time. The company needed a solution that would help them use and analyze historical data to optimize delivery operations and ensure delivery deadlines are met.

About Customer

Chronopost International is a member of the La Poste group and provides express shipping and delivery services both domestically in France and internationally. In 2013, Chronopost transported 102.2 million packages in over 230 countries in Europe and worldwide. The company operates in the rapid parcel delivery industry and serves a global market. Chronopost promises that all parcel deliveries in France will arrive by 1pm the day following an order, a commitment that requires efficient and reliable logistics operations.

Solution

Chronopost adopted DSS to create a custom application that automatically generates an ease-of-delivery rating for each address. The application takes into account historical internal delivery and retrieval data, analyzes and enriches shipping and delivery data via data aggregation by geographic location, and enables easy modeling of a rating for each delivery. The incorporation of new deliveries into the existing model allows for iteration and continuous optimization of production costs. This solution provided Chronopost with a comprehensive data analysis tool that optimized company processes and internal logistics.

Impact #1	The implementation of the DSS solution has led to significant operational improvements for Chronopost. The company has been able to optimize production costs and create new commercial offers at these optimized costs. The ease-of-delivery rating system has allowed for more efficient planning and execution of delivery routes, leading to cost reductions. Furthermore, the increased productivity of BI teams has enabled them to easily collect and use performance indicators on demand, enhancing decision-making processes. The in-depth analysis of their data has also ensured constant quality of their different offers at optimized production costs.

Impact #1

The implementation of the DSS solution has led to significant operational improvements for Chronopost. The company has been able to optimize production costs and create new commercial offers at these optimized costs. The ease-of-delivery rating system has allowed for more efficient planning and execution of delivery routes, leading to cost reductions. Furthermore, the increased productivity of BI teams has enabled them to easily collect and use performance indicators on demand, enhancing decision-making processes. The in-depth analysis of their data has also ensured constant quality of their different offers at optimized production costs.

Benefit #1	Increased BI productivity: BI teams around the world can easily collect & use performance indicators on demand
Benefit #2	Optimized operational means and costs involved in package delivery
Benefit #3	Creation of new commercial offers at optimized production costs

Benefit #1

Increased BI productivity: BI teams around the world can easily collect & use performance indicators on demand

Benefit #2

Optimized operational means and costs involved in package delivery

Benefit #3

Creation of new commercial offers at optimized production costs

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Overview

Logistics Optimization through IoT: A Case Study of Chronopost International

Operational Impact

Quantitative Benefit