For manufacturing-centric enterprises that need to optimize production activities and improve management of inventory, warehouses, workforce, machinery and equipment maintenance, purchase and sales orders.

To ensure accurate, data-driven operations planning and get intelligent recommendations on optimal resource utilization and operational risk prevention.

To protect the OMS and sensitive data it stores by employing multi-factor authentication, role-based access control, data encryption, AI-powered fraud detection, and other advanced cybersecurity tools.

To enable the operations teams to control the status of production/service operations on the go, streamline the reporting on operations progress and escalation of operational process issues.

• Task/request assignment and progress status tracking.
• Automated booking of employees’ working hours based on assigned activities.
• Configurable task/request schedule viewer for employees/teams (with a calendar view, Gantt chart view, etc.).

• Configurable timesheets and expense claim forms.
• Time tracking of employees’ billable and non-billable hours.
• Expense tracking (submitting receipts for transportation expenses, etc.).
• Automated approval workflow for employees’ timesheets and expense claims.
• Automated invoice generation (based on approved billable hours and expenses) and status tracking (approved/pending, etc.).

• Centralized view of human resource data (employee profiles with up-to-date information on skills, availability, workload, and bill rates).
• Human resource allocation (comparing skill sets available in employee profiles and assigning fitting candidates to projects/service requests).
• AI-driven suggestions on resource allocation.
• Real-time resource demand forecasting (based on the analysis of available capacity).
• Configurable capacity utilization dashboards (allow checking capacity per specific periods, business units, departments, etc.).
• Alerting on resource under- or overutilization to resource managers and PMs.
• AI-driven recommendations on where to engage under-utilized resources.

• Project planning (setting up goals, milestones, timeline, budget, stakeholders, etc.).
• Project process breakdown (creating and editing tasks and sub-tasks required to complete a project).
• Project time and resources estimation based on historical data about completed projects.
• Form-based resource request creation and automated routing to resource managers.
• Current vs. planned project progress monitoring.
• Current vs. forecast project margin monitoring.
• Project budget monitoring (burn rate, remaining budget, etc.).
• Security and compliance monitoring (critical, e.g., for IT operations management software).
• Configurable alerts on deadlines, project risks, etc. (for project managers and team members).

• Barcode-based tracking of supplies’ quantity and location.
• Setup of reorder levels and alerts for low-stock supplies (can be tuned for different locations).
• Supply purchase order creation and approval.
• Purchase order status tracking and history overview.
• Setup of preferred suppliers for ordering.
• Supply demand forecasting (based on historical demand data and seasonal demand fluctuations).

• Change impact analysis (shows how changes, e.g. unexpected delays, affect service schedule or project progress).
• Revenue forecasting based on real-time monitoring of service/project delivery (can be drilled down by service types or projects, clients, business units, etc.).
• Resource utilization reports.
• AI-based project/service risk assessment (e.g., comparing customer demand with a company’s current resource capacity).

• AI suggestions for production optimization (based on historical production data).
• Multi-plant production optimization (balancing production load across several plants).
• What-if production scenario modeling and cross-comparison (to generate different options of a production schedule and choose the best one).
• Multi-location inventory optimization (calculating optimal inventory levels across warehouses based on multiple factors, from sales data to weather conditions).

• Production order creation (with auto-attachment of BOMs, e.g., via an integration with PLM software).
• Automated estimation of production order costs and capacity requirements (based on product specifications).
• Automated reservation of materials for a production order.
• Production order routing (defining the sequence of operations to produce a product, integrating an order into the production schedule) and status tracking.
• Automated generation of a production order receipt (with the final calculation of production costs based on the recorded material, machine and workforce usage).

• Inventory levels monitoring
• Time tracking of employees’ billable and non-billable hours.
• Setup of inventory reorder points and automated trigger of purchase orders.
• Alerts on low-level inventory.
• Creation, routing and status tracking of inventory transfer orders.

• Sales order creation and status tracking.
• Human resource allocation (comparing skill sets available in employee profiles and assigning fitting candidates to projects/service requests).
• Automated invoice generation and routing for approval.
• Automated generation of purchase and/or production orders from a sales order.
• Automated inventory reservation for a sales order.

• Purchase order request creation and automated routing for approval.
• Purchase order creation and status tracking.
• Project time and resources estimation based on historical data about completed projects.
• Setup of preferred suppliers for particular inventory groups.
• Setup of spend limits per user/department (on purchase orders).

• Workforce scheduling (production and maintenance workers, etc.).
• Workforce performance reports.
• Instant messaging (for easy communication between planners and operations managers and the shop-floor personnel and vice versa).

• Machine maintenance scheduling (for regular maintenance activities coordinated with a production schedule).
• Maintenance request creation and automated routing for approval (for on-demand activities, e.g., in case of machine malfunction or irregular performance).
• Maintenance order assignment and status tracking.
• Predictive maintenance for equipment.

• Quick form-based creation of quality control charts.
• Scheduling and assignment of quality checks (with auto-attachment of quality control charts).
• Alert escalation on defective products (to production supervisors).

• Product demand forecasting.
• Product demand vs. production capacity analysis.
• Workforce demand forecasting.
• Impact analysis for production schedule adjustments (to see how current production orders will be affected by the changes).
• Capacity utilization reports (on machine and workforce utilization).
• Production reports (on the production outputs at a given period, e.g. day/week).
• Production costs monitoring and analysis.
• Inventory carrying costs analysis.
• Inventory purchasing reports (with historical costs trends).