Blue Yonder Case Studies L.L.Bean Improves Customer Service and Inventory Productivity

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	L.L.Bean Improves Customer Service and Inventory Productivity Blue Yonder

L.L.Bean Improves Customer Service and Inventory Productivity

Blue Yonder

Technology Category	Functional Applications - Inventory Management Systems Functional Applications - Product Data Management Systems
Applicable Industries	Apparel Retail
Applicable Functions	Sales & Marketing Warehouse & Inventory Management
Use Cases	Demand Planning & Forecasting Inventory Management
Services	Software Design & Engineering Services System Integration
Challenge	L.L.Bean, an American apparel and outdoor retailer, has been facing challenges as its business expands. The company, which employs around 5,000 people year-round and up to 10,000 during peak sales season, has been struggling to accurately predict market trends and invest in the right products for the upcoming year. Speed of delivery is a crucial aspect of L.L.Bean's business model, as the company prides itself on its customer service. Therefore, ensuring that products reach customers in a timely manner is of utmost importance. Read More
About Customer	L.L.Bean is an American apparel and outdoor retailer founded by Leon Leonwood Bean. The company is known for its customer service and timely delivery of products. It employs approximately 5,000 people year-round, a number that increases to about 10,000 during its peak sales season. As the business has expanded, it has faced challenges in accurately predicting market trends and investing in the right products for the upcoming year. The company's commitment to customer service makes the speed of delivery a crucial aspect of its business model. Read More
Solution	To address these challenges, L.L.Bean implemented Blue Yonder’s merchandise financial planning, forecasting, and replenishment capabilities. These tools allow the company to more accurately predict sales, purchase products from vendors, and allocate those products to the appropriate stores. In addition to leveraging these capabilities, L.L.Bean is actively exploring other solutions to maximize the value of the integrated Blue Yonder ecosystem. The success of this implementation goes beyond the technology itself. During the design phase, Blue Yonder consultants worked closely with L.L.Bean to consider future objectives and goals and how their next implementation can fit in with the solution that is currently being designed. Read More Log in to view content
Contents

Technology Category

Functional Applications - Inventory Management Systems

Functional Applications - Product Data Management Systems

Applicable Industries

Apparel

Retail

Applicable Functions

Sales & Marketing

Warehouse & Inventory Management

Use Cases

Demand Planning & Forecasting

Inventory Management

Services

Software Design & Engineering Services

System Integration

Challenge

L.L.Bean, an American apparel and outdoor retailer, has been facing challenges as its business expands. The company, which employs around 5,000 people year-round and up to 10,000 during peak sales season, has been struggling to accurately predict market trends and invest in the right products for the upcoming year. Speed of delivery is a crucial aspect of L.L.Bean's business model, as the company prides itself on its customer service. Therefore, ensuring that products reach customers in a timely manner is of utmost importance.

About Customer

L.L.Bean is an American apparel and outdoor retailer founded by Leon Leonwood Bean. The company is known for its customer service and timely delivery of products. It employs approximately 5,000 people year-round, a number that increases to about 10,000 during its peak sales season. As the business has expanded, it has faced challenges in accurately predicting market trends and investing in the right products for the upcoming year. The company's commitment to customer service makes the speed of delivery a crucial aspect of its business model.

Solution

To address these challenges, L.L.Bean implemented Blue Yonder’s merchandise financial planning, forecasting, and replenishment capabilities. These tools allow the company to more accurately predict sales, purchase products from vendors, and allocate those products to the appropriate stores. In addition to leveraging these capabilities, L.L.Bean is actively exploring other solutions to maximize the value of the integrated Blue Yonder ecosystem. The success of this implementation goes beyond the technology itself. During the design phase, Blue Yonder consultants worked closely with L.L.Bean to consider future objectives and goals and how their next implementation can fit in with the solution that is currently being designed.

Impact #1	L.L.Bean gained a more accurate read on the market, allowing for better investment in inventory for the upcoming year.
Impact #2	The company was able to automate and integrate processes, improving scalability and allowing for a focus on customer service.
Impact #3	Inventory productivity was increased, improving efficiency and potentially reducing costs.

Impact #1

L.L.Bean gained a more accurate read on the market, allowing for better investment in inventory for the upcoming year.

Impact #2

The company was able to automate and integrate processes, improving scalability and allowing for a focus on customer service.

Impact #3

Inventory productivity was increased, improving efficiency and potentially reducing costs.

Benefit #1	L.L.Bean has grown from a single store in Freeport, Maine in 1912 to a $1.6 billion company today.
Benefit #2	The implementation of Blue Yonder’s solutions has allowed the company to scale its operations and automate processes, freeing up resources to focus on customer service.

Benefit #1

L.L.Bean has grown from a single store in Freeport, Maine in 1912 to a $1.6 billion company today.

Benefit #2

The implementation of Blue Yonder’s solutions has allowed the company to scale its operations and automate processes, freeing up resources to focus on customer service.

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Overview

L.L.Bean Improves Customer Service and Inventory Productivity

Operational Impact

Quantitative Benefit