Case Studies Elsevier Enhances Order Fulfillment with Voxware's Voice Solution

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	Elsevier Enhances Order Fulfillment with Voxware's Voice Solution

Elsevier Enhances Order Fulfillment with Voxware's Voice Solution

Technology Category	Analytics & Modeling - Real Time Analytics Functional Applications - Remote Monitoring & Control Systems Functional Applications - Warehouse Management Systems (WMS)
Applicable Functions	Logistics & Transportation Warehouse & Inventory Management
Use Cases	Inventory Management Predictive Maintenance Warehouse Automation
Services	System Integration Training
Challenge	Previously, Elsevier's Linn, Missouri location was fulfilling orders using RF scanning, which had several drawbacks. The RF guns sometimes had difficulties reading labels printed on cardboard, leading to inefficiencies and errors. Workers were slowed down by the cumbersome RF units, which they had to juggle along with the products during order picking. This not only risked damaging the RF units but also made the process less efficient. Additionally, there was very little insight into productivity rates and picking errors, making it difficult for management to track and improve operations. Read More
About Customer	Elsevier is a leading publisher of Health Science and Technology Information, operating over 85 locations worldwide. The Linn, Missouri location is responsible for processing 100,000 orders annually. Elsevier's end customers include researchers, students, educators, and practitioners globally. To ensure accurate and timely order fulfillment, Elsevier implemented Voxware’s voice solution to enhance their operational efficiency and accuracy. Read More
Solution	Elsevier implemented Voxware’s VoiceLogistics Solution, which included mobile computers from LXE and scanners from Metrologic. The voice-driven picking system allowed workers to keep their hands free while fulfilling orders, significantly improving efficiency. The system is speaker-dependent, with a 99.9% recognition rate, ensuring high accuracy. Workers are directed through the warehouse via voice prompts that sync with the WMS in real-time. This paper-free system allows workers to voice in product codes and quantities, providing real-time updates to management. The solution also offered flexibility and compatibility with Elsevier's highly customized WMS system from Boss. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Functional Applications - Remote Monitoring & Control Systems

Functional Applications - Warehouse Management Systems (WMS)

Applicable Functions

Logistics & Transportation

Warehouse & Inventory Management

Use Cases

Inventory Management

Predictive Maintenance

Warehouse Automation

Services

System Integration

Training

Challenge

Previously, Elsevier's Linn, Missouri location was fulfilling orders using RF scanning, which had several drawbacks. The RF guns sometimes had difficulties reading labels printed on cardboard, leading to inefficiencies and errors. Workers were slowed down by the cumbersome RF units, which they had to juggle along with the products during order picking. This not only risked damaging the RF units but also made the process less efficient. Additionally, there was very little insight into productivity rates and picking errors, making it difficult for management to track and improve operations.

About Customer

Elsevier is a leading publisher of Health Science and Technology Information, operating over 85 locations worldwide. The Linn, Missouri location is responsible for processing 100,000 orders annually. Elsevier's end customers include researchers, students, educators, and practitioners globally. To ensure accurate and timely order fulfillment, Elsevier implemented Voxware’s voice solution to enhance their operational efficiency and accuracy.

Solution

Elsevier implemented Voxware’s VoiceLogistics Solution, which included mobile computers from LXE and scanners from Metrologic. The voice-driven picking system allowed workers to keep their hands free while fulfilling orders, significantly improving efficiency. The system is speaker-dependent, with a 99.9% recognition rate, ensuring high accuracy. Workers are directed through the warehouse via voice prompts that sync with the WMS in real-time. This paper-free system allows workers to voice in product codes and quantities, providing real-time updates to management. The solution also offered flexibility and compatibility with Elsevier's highly customized WMS system from Boss.

Impact #1	The voice-driven system allowed workers to keep their hands free, improving efficiency and reducing the risk of damaging RF units.
Impact #2	The system provided real-time updates to management, offering constant insight into warehouse operations.
Impact #3	The voice system had a 99.9% recognition rate, ensuring high accuracy in order picking.

Impact #1

The voice-driven system allowed workers to keep their hands free, improving efficiency and reducing the risk of damaging RF units.

Impact #2

The system provided real-time updates to management, offering constant insight into warehouse operations.

Impact #3

The voice system had a 99.9% recognition rate, ensuring high accuracy in order picking.

Benefit #1	Accuracy rates increased to 99.72%.
Benefit #2	Training time reduced to 4 hours.
Benefit #3	ROI achieved in 9 months.

Benefit #1

Accuracy rates increased to 99.72%.

Benefit #2

Training time reduced to 4 hours.

Benefit #3

ROI achieved in 9 months.

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Overview

Elsevier Enhances Order Fulfillment with Voxware's Voice Solution

Operational Impact

Quantitative Benefit