Elsevier Enhances Order Fulfillment with Voxware's Voice Solution
Company Size
1,000+
Region
- America
Country
- United States
Product
- Voxware VoiceLogistics Solution
- LXE Mobile Computers
- Metrologic Scanners
Tech Stack
- VoiceXML
- Internet Protocols
- Wearable Technology
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Employee Satisfaction
- Productivity Improvements
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
About The 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.
The 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.
The 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.
Operational Impact
Quantitative Benefit
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