Blue Yonder Case Studies Stocking Up

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	Stocking Up Blue Yonder

Stocking Up

Blue Yonder

Technology Category	Functional Applications - Inventory Management Systems Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries	Retail
Applicable Functions	Logistics & Transportation Warehouse & Inventory Management
Use Cases	Inventory Management Supply Chain Visibility
Services	Cloud Planning, Design & Implementation Services Software Design & Engineering Services System Integration Training
Challenge	Big W, a division of Woolworths Limited, operates 181 stores across Australia, generating approximately AU$4.4 billion in sales annually. Over the past few years, the retailer has experienced significant growth, making it more challenging to ensure that its seasonal merchandise was being delivered to the right store, in the right quantities, at the right time. Big W recognized that it needed to replace its 20-year-old allocation system, used to push 50 percent of its merchandise to its stores, with more sophisticated and advanced technology. Big W sought a solution that would enable its planning assistants to allocate multiple product lines at once, while ensuring that it was delivering an ideal product mix to its stores as quickly and efficiently as possible in order to improve stock availability, reduce markdowns and increase sales. Read More
About Customer	Big W is a division of Woolworths Limited and operates 181 stores across Australia. The company generates approximately AU$4.4 billion in sales annually. Over the past few years, the retailer has experienced significant growth, making it more challenging to ensure that its seasonal merchandise was being delivered to the right store, in the right quantities, at the right time. The company sought a solution that would enable its planning assistants to allocate multiple product lines at once, while ensuring that it was delivering an ideal product mix to its stores as quickly and efficiently as possible in order to improve stock availability, reduce markdowns and increase sales. Read More
Solution	Big W turned to JDA to address its allocation needs. JDA Allocation, part of JDA’s Retail Planning solution, translates key consumer insights into optimized store-specific product assortments that can be deployed across the entire retail organization. Leveraging best-practice methodologies, JDA Allocation enables retailers to conduct what-if analyses to test allocation strategies prior to execution. Big W decided to deploy the solution via JDA Cloud Services to reduce the implementation timeline, accelerate business benefits and reduce its hardware, maintenance and support costs. Leveraging JDA’s cloud deployment service, JDA Cloud Perform optimizes the performance of the JDA Allocation application and infrastructure environment for Big W through hardware and software administration, capacity management and data integration, as well as manages areas such as problem resolution, change management and security. Read More Log in to view content
Contents

Technology Category

Functional Applications - Inventory Management Systems

Infrastructure as a Service (IaaS) - Cloud Computing

Applicable Industries

Retail

Applicable Functions

Logistics & Transportation

Warehouse & Inventory Management

Use Cases

Inventory Management

Supply Chain Visibility

Services

Cloud Planning, Design & Implementation Services

Software Design & Engineering Services

System Integration

Training

Challenge

Big W, a division of Woolworths Limited, operates 181 stores across Australia, generating approximately AU$4.4 billion in sales annually. Over the past few years, the retailer has experienced significant growth, making it more challenging to ensure that its seasonal merchandise was being delivered to the right store, in the right quantities, at the right time. Big W recognized that it needed to replace its 20-year-old allocation system, used to push 50 percent of its merchandise to its stores, with more sophisticated and advanced technology. Big W sought a solution that would enable its planning assistants to allocate multiple product lines at once, while ensuring that it was delivering an ideal product mix to its stores as quickly and efficiently as possible in order to improve stock availability, reduce markdowns and increase sales.

About Customer

Big W is a division of Woolworths Limited and operates 181 stores across Australia. The company generates approximately AU$4.4 billion in sales annually. Over the past few years, the retailer has experienced significant growth, making it more challenging to ensure that its seasonal merchandise was being delivered to the right store, in the right quantities, at the right time. The company sought a solution that would enable its planning assistants to allocate multiple product lines at once, while ensuring that it was delivering an ideal product mix to its stores as quickly and efficiently as possible in order to improve stock availability, reduce markdowns and increase sales.

Solution

Big W turned to JDA to address its allocation needs. JDA Allocation, part of JDA’s Retail Planning solution, translates key consumer insights into optimized store-specific product assortments that can be deployed across the entire retail organization. Leveraging best-practice methodologies, JDA Allocation enables retailers to conduct what-if analyses to test allocation strategies prior to execution. Big W decided to deploy the solution via JDA Cloud Services to reduce the implementation timeline, accelerate business benefits and reduce its hardware, maintenance and support costs. Leveraging JDA’s cloud deployment service, JDA Cloud Perform optimizes the performance of the JDA Allocation application and infrastructure environment for Big W through hardware and software administration, capacity management and data integration, as well as manages areas such as problem resolution, change management and security.

Impact #1	Improved inventory turns and reduced stock-outs
Impact #2	Optimized store-specific product assortments
Impact #3	Increased planning assistants’ productivity

Impact #1

Improved inventory turns and reduced stock-outs

Impact #2

Optimized store-specific product assortments

Impact #3

Increased planning assistants’ productivity

Benefit #1	Streamlined allocation processes
Benefit #2	Ability to allocate families of products together by size and color
Benefit #3	Ability to group stores together in categories such as “holiday” stores

Benefit #1

Streamlined allocation processes

Benefit #2

Ability to allocate families of products together by size and color

Benefit #3

Ability to group stores together in categories such as “holiday” stores

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Overview

Stocking Up

Operational Impact

Quantitative Benefit