donia® helps production teams transform orders, constraints, and shopfloor signals into executable schedules. Automate planning flows, detect bottlenecks early, and react faster when priorities change.
01. Production Order → Auto Scheduling → Capacity Check
Automatically transform incoming production orders into feasible schedules based on available capacity, resource constraints, and operational priorities. donia® helps planners reduce manual sequencing work and validate schedules before execution.
02. Real-time Shopfloor Data → Bottleneck Detection → Alert
Monitor real-time production signals to identify overloaded resources, blocked work centers, and emerging delays. donia® highlights bottlenecks early and triggers alerts before they impact delivery dates and plant performance.
03. Job Queue → AI Prioritization → Dynamic Rescheduling
When urgent orders, delays, or machine issues disrupt the plan, donia® dynamically reprioritizes jobs and proposes updated schedules. This enables teams to react quickly while maintaining flow, capacity balance, and service levels.
Trigger scheduling actions directly from an operator, planner, or manager message.
Connect scheduling workflows to operational data such as orders, machines, resources, and calendars.
Run SQL operations to retrieve work orders, check capacities, and write back planning results.
Read structured or semi-structured information from PDFs using text extraction, OCR, or vision models.
Evaluate conditions such as overload, lateness, urgency, or machine availability and branch the workflow accordingly.
Query internal docs for planning rules, work center notes, and scheduling constraints.
No. donia® lets you design scheduling workflows visually using nodes, conditions, triggers, and AI logic. Technical teams can extend flows with code when needed, but most production automations can be configured without starting from scratch.
Yes. donia® is built to integrate with factory systems, databases, and operational data sources. You can connect orders, resources, calendars, and shopfloor signals to create scheduling workflows that reflect how your plant actually works.
Definitely. You can use it for order scheduling, bottleneck detection, AI rescheduling, capacity checks, labor cost analysis, document extraction, and many other industrial workflows without being limited to a single use case.
Yes. donia® can orchestrate external models such as GPT, Claude, or Grok, and it can also work with local open-source models managed with Ollama. This gives you flexibility across cloud, private, and hybrid environments.
Yes. donia® is designed for operational contexts where control, traceability, and data protection matter. It can be deployed in ways that align with internal IT requirements, including integrations with private systems and factory data sources.
“donia® automated the extraction of components and routing cycles from DOCX production orders. Manual checks replaced by a structured workflow — faster and more consistent across our operations.”
“With donia®, we extract bills of materials from electrical diagrams automatically. Less manual effort, better accuracy, and engineering documents turned into production data faster.”
“We use donia® on two agentic workflows: order entry from email and Text-to-SQL for job scheduling. Faster recognition of customers and operational data — smarter order management and planning.”
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