L2L Features

Corrective and preventative maintenance work orders can be easily created, edited, or cloned within the system. Work orders are able to be prioritized, scheduled, tracked, and reported to align with maintenance workflows.

Preventative maintenance work order scheduling can be automated and triggered based on a series of factors, including date, time, alarms, meter readings, and specified event occurances.

Monitor enterprise equipment and assets with either built-in data analysis tools or integrated third-party applications to streamline preventative maintenance efforts.

Organize maintenance, repairs, and operations (MRO) materials within a built-in database, and coordinate materials inventory and purchase requests.

Access historical records of equipment performance statistics and generate new reports using equipment data to identify underlying equipment issues.

Create approval workflows to streamline the approval of work order or material purchase requests.

Maintain re-usable task templates for preventative and unscheduled work orders. Organize these templates into task libraries that are easily accessible and can be cloned or edited as needed.

Track maintenance documentation to ensure compliance with Occupational Safety and Health Administration (OSHA) and ISO standards. Manage material safety data sheets (MSDS) and other critical safety instructions within a central repository, and track employee training certifications.

Submit RFPs / RFQs to vendors, communicate terms, and track and manage vendor performance within the system.

Visualize maintenance data and KPIs using built in dashboards, and create custom reports around equipment, assets, work orders, and more.

Calculate demand by consolidating data from multiple sources.

Track resource availability for raw materials and production capacity.

Generate production plans based on demand and resource availability.

Ability to improve production plans using historical data.

Allowa supervisors to convert production plans into production schedules.

Implement production schedules on the shop floor in multiple locations.

Track production schedules to identify issues and adjust accordingly.

Provide templates, forms and checklists to record tasks, inspections, and progress

Allow users to configure workflows that predicts issues and alerts teams in real-time

Trigger dynamic distribution or reinforcement of SOPs when deviations or defects occur.

Enable tracking and detection of nonconforming events and suggest corrective actions.

Log safety/quality incidents and generate compliance reports.

Create work plans for predefined periods such as weeks or months, and allow users to create custom periods.

Assign activities to workers based on availability, qualifications, and other criteria.

Allows employees to collaborate on tasks and ask for help from supervisors.

Track the status of work activities per location, employee, or team.

Monitor task completion, employee productivity, and other metrics.

Allow users to build custom dashboards or connect to BI tools

Consolidate manufacturing information from multiple sources

Structure data using hierarchies to make it easier to use and manage

Ability to trasnfer data between shop floor systems and software products

Provide features for manual and automated data collection

Process manufacturing information to remove errors and duplicated data

Include standard KPIs to monitor manufacturing quality

Deliver real time data on manufacturing operations and processes

Customizable dashboards display KPIs and metrics in real time

Deliver dashboards that display KPIs and live data.

Analyze performance for individual assets, by category or location.

Predict future trends and risks that may impact asset performance.

Create a list of all the assets owed by a company.

Define relationships between various types of assets.

Identify the value of each asset and keep it up to date.

Define and manage linear assets, facilities, and fixed assets

Monitor the status of multiple types of assets.

Maintain a history of adjustments made to assets.

Track inventory of assets accross multiple locations.

Manage the inventory of spare parts needed for maintenance.

Calculate the value of the inventory of assets and spare parts.

Calculate the value of assets at each stage of their lifecycle.

Track the costs of retiring assets when they become obsolete.

Plan inspections to monitor the status or equipment and fixed assets.

Schedule maintenance activities based on asset type, usage, and warranties.

Provide features for predictice maintenance operations.

Allows users to perform corrective maintenance activities.

Ability to manage unplanned maintenance tasks.

Identify opportunities to optimize asset use and maintenance operations.

Assign human and material resources to maintance tasks.

Monitor field activities such as installation, maintenance, or callibration.

Monitor asset use across multiple locations and keep history.

Track asset reliability data such as downtime or idle time.

Identify various types of risks such as non-compliance or safety violations.

Define and manage maintenance contracts for various types of assets.

Manage warranties, related maintenance operations, and costs.

Comply with the service level agreements (SLAs) included in contracts.

Provide integration with ERP systems

Provide integration with CAD and PLM software

Provide integration with accounting solutions

Perform inspections and testing while the equipment is in service

Gather data about equipments and their environmental characteristics such as temperature or humidity.

Define and implement maintenance schdules based on real ime data and precitive analysis.

Monitor cvarious type of assets such as equipment, facilities, or networks

Use IoT to monitor assets accross multiple locations and work centers

Perform diagnostics and compare with historical failure data

Allow users to find the sources of failure patterns and anomalies.

Notify users when there is a risk of failure or malfunction

Identify the root cause of equipment failures

Recommend preventive actions to to address issues before they occur.

Identify risks that may impact asset performance accross multiple locations.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Converts images into a textual description, identifying key elements.

Generate production schedules based on demand and inventory availability

Create work orders and dispatch them based on availability of personnel and work stations.

Deploy work orders on the shop floor to personnel and equipment.

Track the movement of raw materials and components between the warehouse and the shop floor.

Implement quality control checks to comply with industry standards and regulations.

Monitor work orders execution to identify non conformity with scheduling.

Analyze production operations to identify bottlenecks and opportunities for improvement.

Allow for bidirectional data transfers between the software and industrial equipment.

Manage documents related to production and quality such as engineering drawings.

Gather manufacturing data from multiple sources (software, equipment, and sensors).

Allow for bidirectional data transfers between the software and industrial equipment.

Integrate with other manufacturing solutions such as ERP, quality management and asset management.

Synchronize manufacturing data with IoT networks and devices.

Use machine learning to predict production output or equipment downtime.

Identify deviations from optimal performance and recommend corrective actions in real-time.

Generate intelligent production plans that can adapt to changes in real time.

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Engages in human-like conversation for task delegation

Works across multiple software systems or databases

Works across multiple software systems or databases

Allow centralized enforcement of corporate standards, while supporting site‑specific variations.

Report metrics at both individual site and consolidated enterprise levels.

Provide channels for idea sharing, communications and collaboration across different sites and facilities.

Provide enterprise-wide support across smartphones, tablets, and wearable devices.

Provide enterprise-grade role/permission management for different user groups.

Capable of autonomously perform or propose task actions on behalf of users.

Support live transcription/translation of video/audio and contextual AI support.

Use AI models to predict anomalies, prescribe corrective actions, or suggest best next steps.

Allow frontline workers capture ideas, best practices, videos, and distribute them.

Track changes to work instructions and notify relevant users of updates or revisions.

Offer contextual training modules or tips that appear during task execution to reinforce skills.

Ensure workers can access SOPs/training offline on mobile/wearables.

Provide open APIs and SDKs for developers to extend platform capabilities.

Synchronize tasks, assets, and other data with enterprise systems such as ERP, MES, or EAM.