Audience
Manufacturers looking for a solution to improve production and plant management
About L2L
Our mobile cloud-based software empowers your team to solve factory floor problems in real-time, reducing downtime, improving response time to production issues, and reducing your overall maintenance costs. Our platform has multiple solutions that reduce downtime, improve response time to production issues, and reduce your overall maintenance costs. It's the only solution that helps manufacturers solve multiple challenges at once. Our proprietary problem-solving engine turns your big roadblocks into tiny speed bumps. That's because L2L aligns machines, people, processes, and materials to help you achieve world-class performance. Most solutions have a hard time growing with you. L2L is a SaaS platform that can scale to your needs while automating and integrating into your factory to help you exceed goals and metrics.
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Integrations
Company Information
L2L
Founded: 2010
United States
www.l2l.com
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Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
In Person
Support
Phone Support
Online
L2L Frequently Asked Questions
L2L Product Features
CMMS
Asset Tracking
Inventory Control
Preventive Maintenance
Scheduling
Service History Tracking
Technician Management
Work Order Management
Calibration Management
Key & Lock Management
Mobile Access
Purchasing
Maintenance Management
Asset Tracking
Dispatch Management
Inventory Control
Inventory Management
Mobile Access
Planning Calendar
Predictive Maintenance
Preventive Maintenance
Scheduling
Service History Tracking
Technician Management
Work Order Management
Billing & Invoicing
Calibration Management
Key & Lock Management
Purchasing
Manufacturing Execution
Document Management
Quality Control
Resource Management
Traceability
Forecasting
Quote Management
Supplier Management
Supply Chain Management
Production Scheduling
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control
"What If" Scenarios
