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What is RunMark?

RunMark is a cloud-based software platform specifically crafted for production scheduling and traceability, aimed at small to mid-sized process manufacturers who operate with 2 to 20 lines, especially in industries such as plastics extrusion and wire and cable, which have historically relied on spreadsheets for managing schedules. This tool enables users to specify the products that each production line can process, define the production rates for each item, establish shift patterns, and account for the time needed for changeovers between products. The software smartly assigns orders to appropriate lines within their scheduled hours, ensures that necessary changeover time is factored in according to the order of operations, and provides the capability to split larger orders among various lines to enhance overall efficiency. Moreover, RunMark generates print-ready PDF traceability labels that include essential details such as product information, production dates, line identifiers, lot numbers, and quantities, ensuring comprehensive tracking. It also features a visual Gantt scheduler, the option to import orders from Excel, the generation of bills of lading, inventory-aware fulfillment options, and robust reporting tools for runs and shifts. In addition, advanced functionalities like AI order parsing and a production assistant are available exclusively to annual subscribers and during the free trial, contributing to a more streamlined user experience and improved operational productivity. This combination of features positions RunMark as a vital solution for manufacturers looking to modernize their production processes.

What is Ailytic Advanced Scheduler?

The Ailytic AI Scheduler simplifies the complex tasks involved in creating, adjusting, and sharing production schedules. It effectively models and manages a variety of operational constraints to ensure that the generated schedules are in sync with actual conditions. Users have the ability to consider factors such as shift patterns, resource availability, machine efficiency, scheduled maintenance, seasonal fluctuations, and other essential elements for precise capacity assessments throughout the facility. The system supports the import, validation, error checking, and analysis of production orders, dry goods, inventory levels, machinery statuses, maintenance plans, and outages from various sources, including ERP, MES, SCADA, Historian, Sensors, and Custom Data. Additionally, it provides dynamic visualization tools that can be adjusted for different time frames, enabling users to identify conflicts and uncover potential opportunities within the schedule while facilitating workload balancing for Master Production Scheduling. This all-encompassing methodology not only boosts operational efficiency but also significantly enhances overall productivity by providing a clearer view of the production landscape. By leveraging these advanced features, organizations can make more informed decisions that drive better outcomes.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$249/month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

RunMark

Date Founded

2026

Company Location

United States

Company Website

runmark.app

Company Facts

Organization Name

Ailytic

Date Founded

2016

Company Location

Australia

Company Website

www.ailytic.com/advanced-scheduler

Categories and Features

Production Scheduling

Not specified

Categories and Features

APS

Automated Scheduling
Constraint Management

Production Scheduling

"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling

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