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Consistent, Data-Driven Job Assignments
Intelligent Work Allocation (IWA) arms frontline leaders with a data-driven approach to job assignment improving efficiency and reducing time to work.
How it Works
Worker Availability Focus
Articulate worker availability and take advantage of thousands of system datapoints on worker skills and historic performance as inputs for assignment.
Job Priorities Integration
Dynamically integrate job priorities—like order deliverables, progress updates, and supply chain dependencies—into the AI engine for dynamic and responsive work allocation.
AI-Powered Recommendations
Harness the power of AI to analyze worker and job inputs in seconds to receive optimized recommendations. Fine-tune these suggestions to maximize workforce utilization and ensure every worker is strategically assigned for peak productivity.
Engine
Key Feature Highlights
Job Prioritization
Streamline your workflow with Intuitive Job Prioritization
Simplified Drag-and-Drop Prioritization
Utilize a drag-and-drop interface for effortless organization of jobs by priority, ensuring critical tasks are addressed first.
Customizable Zone-Specific Job Ranking
Select from a comprehensive backlog specific to each zone to tailor your job priority list, ranking jobs based on importance.
Quick Contextual Decision-Making Tools
Make faster prioritization decisions by leveraging quick drill down tools that put critical job attribute data in context.
Resource Management
Centralized Team Management at you fingertips
Unified Team Capacity Overview
A unified interface provides a complete overview of your team, enabling efficient management of availability based on capacity and absenteeism.
Insightful Worker Skill Profiles
Access detailed profiles of team members to gain insights into each worker’s skill set and job execution history.
Simplified Resource Balancing
Quickly share resources across shifts & zones to balance shortages and surpluses in coverage.
Job Assignment Engine
Optimized Job Assignments Powered by Machine Learning
Smart Worker Matching System
Leverage an assignment recommendation system to match workers with job priorities, considering training certifications, experience, and past efficiency.
Flexible Assignment Adjustments
Review machine-generated assignment recommendations & make tactical adjustments for tailor-fit task delegation.
Instant Job Board Publishing
For more practical skills, trainees might be required to perform tasks under supervision, with their performance being logged and reviewed.
Performance Insights
Continuous Development with Automated Reporting
Actionable Performance Insights
Gain visibility to critical performance insights and derive actionable opportunities for targeted team development.
Bottleneck Identification & Improvement
Identify performance bottlenecks across the workforce to determine new areas to focus training and process improvement.
Data-Driven Leadership Empowerment
Empower leadership with data-driven decision-making tools to foster a culture of excellence and ongoing enhancement.
Everything to optimize your work allocation process
Save Admin Time
Boost Productivity
Bolster Flexibility
Improve Collaboration
Codify Expertise
Continuous Development
Utilizing historic worker efficiency data to generate recommended work assignments has a lot of potential to save our Supervisors time and boost overall productivity.
I love that this system gives us a one-stop-shop for job assignment planning, instead of having to go through multiple sources to pull one-off pieces of data today.
Absenteeism and worker turnover can run very high. Being able to rely on data to make assignment decisions can help us react to last-minute no shows more easily.
Unlock the Full Potential of Your Team
Boost productivity and streamline workforce operations with Covalent
