What's New with Manhattan Labor Management
Hear about the latest enhancements to Manhattan Labor Management. Learn how to leverage these capabilities to drive increased productivity, enhanced usability and employee engagement.
Building a Best-in-Class Labor Management Program
Labor management is not just about software, but a vibrant combination of process, people and technology. Discover what it really takes to conceptualize, build, implement and sustain a successful and industry-leading employee engagement program.
Engaging Your Workforce Roundtable Discussion
Join this roundtable discussion led by ARC Advisory Group, and learn from your peers as they share how they are driving employee engagement. Discover what creative programs and techniques they are using to engage employees.
Merging Labor, Warehouse, and Machine Learning for Improved Decisions
Discover how merging labor management with warehouse management and the use of machine learning provides a foundation for enhanced decision making in support of processes like task and work release.
Wolverine Worldwide's Five-Year Distribution Network Transformation
Gain insights from Wolverine Worldwide’s transformation its distribution network. From 2015 to 2019, this global footwear and apparel leader implemented or upgraded 80% of their distribution network to current versions of Manhattan Warehouse Management (WMi), Labor Management, and SCI. Hear about the lessons learned and improvements realized.
The State of Labor in Distribution: How to Engage Employees
Hear about the labor challenges facing distributors and approaches for elevating labor management programs to drive improved employee engagement.
Using Labor Management to Drive Employee Productivity at Loblaws, Inc.
Learn how Canadian supermarket chain Loblaws, Inc. is using Manhattan Labor Management to drive productivity and employee engagement within its distribution centers (DCs). Loblaws will discuss its labor program and describe how it is using labor management data to ensure its DCs are operating at peak efficiency.