Blue Yonder Case Studies DHL Optimizes Transportation Processes to Deliver Success

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	DHL Optimizes Transportation Processes to Deliver Success Blue Yonder

DHL Optimizes Transportation Processes to Deliver Success

Blue Yonder

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Industries	Retail
Applicable Functions	Logistics & Transportation
Use Cases	Supply Chain Visibility Predictive Replenishment
Services	System Integration
Challenge	As the world’s largest express and logistics provider, DHL strives daily to meet its customer requirements by optimizing schedules, loads and processes within its current business constraints. This entails finding the most cost-efficient solutions for determining servicing locations, maximizing transportation costs and identifying consolidation opportunities. The company needed to gain a better understanding of how to quickly provide solutions customer projects and needed more flexibility and agility in controlling their vast network of operations. DHL’s goals were to enable transportation cost savings, improve optimization exercises and communication of results, replicate and evaluate business scenarios and understand the impact of various variables on proposed transportation solutions. Read More
About Customer	DHL is the world’s largest express and logistics provider. They strive to meet customer requirements by optimizing schedules, loads, and processes within their current business constraints. This includes finding the most cost-efficient solutions for determining servicing locations, maximizing transportation costs, and identifying consolidation opportunities. They needed a better understanding of how to quickly provide solutions for customer projects and needed more flexibility and agility in controlling their vast network of operations. Their goals were to enable transportation cost savings, improve optimization exercises and communication of results, replicate and evaluate business scenarios, and understand the impact of various variables on proposed transportation solutions. Read More
Solution	The analysis and realistic decision making provided by Blue Yonder’s modeling and network design solutions allows DHL to produce the optimal solutions required of their vast customer base. The company has leveraged modeling to substantially cut transportation costs for other manufacturing, retail and consumer goods customers worldwide. DHL also uses transportation modeler to create tactical solutions, compare cost scenarios, and determine how changes impact service levels. DHL leverages Blue Yonder’s solutions to solve problems ranging from evaluating the impact of different ship dates for a manufacturing customer, to determining hauling savings for a retail customer, to identifying consolidation opportunities for a consumer goods sector. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Industries

Retail

Applicable Functions

Logistics & Transportation

Use Cases

Supply Chain Visibility

Predictive Replenishment

Services

System Integration

Challenge

As the world’s largest express and logistics provider, DHL strives daily to meet its customer requirements by optimizing schedules, loads and processes within its current business constraints. This entails finding the most cost-efficient solutions for determining servicing locations, maximizing transportation costs and identifying consolidation opportunities. The company needed to gain a better understanding of how to quickly provide solutions customer projects and needed more flexibility and agility in controlling their vast network of operations. DHL’s goals were to enable transportation cost savings, improve optimization exercises and communication of results, replicate and evaluate business scenarios and understand the impact of various variables on proposed transportation solutions.

About Customer

DHL is the world’s largest express and logistics provider. They strive to meet customer requirements by optimizing schedules, loads, and processes within their current business constraints. This includes finding the most cost-efficient solutions for determining servicing locations, maximizing transportation costs, and identifying consolidation opportunities. They needed a better understanding of how to quickly provide solutions for customer projects and needed more flexibility and agility in controlling their vast network of operations. Their goals were to enable transportation cost savings, improve optimization exercises and communication of results, replicate and evaluate business scenarios, and understand the impact of various variables on proposed transportation solutions.

Solution

The analysis and realistic decision making provided by Blue Yonder’s modeling and network design solutions allows DHL to produce the optimal solutions required of their vast customer base. The company has leveraged modeling to substantially cut transportation costs for other manufacturing, retail and consumer goods customers worldwide. DHL also uses transportation modeler to create tactical solutions, compare cost scenarios, and determine how changes impact service levels. DHL leverages Blue Yonder’s solutions to solve problems ranging from evaluating the impact of different ship dates for a manufacturing customer, to determining hauling savings for a retail customer, to identifying consolidation opportunities for a consumer goods sector.

Impact #1	DHL has achieved 7% direct savings as a result of better optimization, use of vehicles and stops per vehicle.
Impact #2	DHL has achieved approximately 15% savings for a prominent retail customer based in the United States through their leverage of the capability across delivery, fleet and location parameters.
Impact #3	DHL has leveraged modeling to substantially cut transportation costs for other manufacturing, retail and consumer goods customers worldwide.

Impact #1

DHL has achieved 7% direct savings as a result of better optimization, use of vehicles and stops per vehicle.

Impact #2

DHL has achieved approximately 15% savings for a prominent retail customer based in the United States through their leverage of the capability across delivery, fleet and location parameters.

Impact #3

DHL has leveraged modeling to substantially cut transportation costs for other manufacturing, retail and consumer goods customers worldwide.

Benefit #1	7% direct savings as a result of better optimization, use of vehicles and stops per vehicle.
Benefit #2	15% approx savings for a prominent retail customer based in the United States.
Benefit #3	Substantial cut in transportation costs for other manufacturing, retail and consumer goods customers worldwide.

Benefit #1

7% direct savings as a result of better optimization, use of vehicles and stops per vehicle.

Benefit #2

15% approx savings for a prominent retail customer based in the United States.

Benefit #3

Substantial cut in transportation costs for other manufacturing, retail and consumer goods customers worldwide.

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Overview

DHL Optimizes Transportation Processes to Deliver Success

Operational Impact

Quantitative Benefit