TrakSYS Features

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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.

Automatically create schedules based on business needs or employee availability and qualifications

Schedule predetermined or ad hoc maintenance services and labor requests

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.

Identify and assess hazards to ensure the well-being of employees, assets, and the environment

Material list of manufacturing parts and associated costs

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.

Active monitoring of systems, applications, or networks

Works across multiple software systems or databases

Set up connections to third-party platforms to improve business processes

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.

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.

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Manage and control operations that take place on the shop floor or factory floor

Generate quotes or estimates for customers

Track and monitor inventory items, such as raw materials, unfinished goods, and ready-to-sell items

Assign available resources to various projects and tasks

Focuses on improving processes by collecting data and spotting bottlenecks or other challenges.

Accounting functionality within the system, not requiring integration with third-party tools

Manage all supplier data and operations

Create, send, and track purchase orders and their statuses

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Create, design and manage workflows for repetitive tasks

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Store, manage, and track all electronic documents in a centralized location

Import product information from third party sites or create your own, adjust descriptions and make other changes as required

Plan and coordinate all the resources, costs and time needed to execute assignments

Graphical representation of data

Manage the planning and execution of supply chain activities

Manage and track orders being shipped to customers

Create, manage and track all task activities and progression

Manage and support multiple locations

Use AI to generate content in the form of text, images, videos, etc.

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Manage and track customer orders for goods, investments, or any other purchases

Process of gathering, measuring, and analyzing accurate data

Track and manage adherence to policies for any service, product, process, or supplier

Search and filter data across systems to locate required information by entering keywords or certain criteria

Import and export data to and from software applications

Scan barcodes to ensure accurate pricing and label tracking

Process to track, record, and analyze expenses that occurred over the entire duration of a given project

Form predictions based on past and present data/trends

Estimate expected cost based on various factors before a project begins

Application programming interface that allows for integration with other systems/databases

Track and manage inventory levels to maintain proper supply

Manage the end-to-end production process for manufacturing operations

Manage and track operations and inventory within warehouses