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Production Management Systems
Production Management Systems for Work on the Floor. Production teams need more than a list of orders. They need to know what should be produced, what materials are required, which stage each job is in and what is holding it up.
Xupyter builds production workflows around your jobs, materials, stages and scheduling requirements, giving management a clearer view from release to completion.
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Trusted by 50+ businesses as their technical partner
100+
Projects delivered
10+
Industries served
8+
Years in business
Common Problems
- Production schedules are maintained in spreadsheets that become outdated quickly.
- Work orders do not consistently show the current production stage.
- Material availability is checked manually before jobs are released.
- Managers discover production delays only after promised dates are affected.
- Completed work is recorded differently across teams or shifts.
- Production information is disconnected from sales, inventory or purchasing.
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What Your Team Does
- Approved orders or jobs are released into production with the required specifications.
- Production checks material availability and records the required inputs.
- Work moves through defined stages with responsibility and status.
- Staff record quantities, completion, rework or exceptions.
- Completed work is passed to the next operational stage such as packing or dispatch.
- Supervisors review active jobs and intervene where work is delayed.
What You See as the Owner or Manager
- Current production workload and stage status.
- Jobs waiting for materials, approval or another dependency.
- Completion and delay visibility by job or production stage.
- Historical production records for operational review.
What We Build
Capability | What it handles |
|---|---|
Product | material and production specification records. |
Work orders and | production stages. |
Material requirements and | consumption. |
Scheduling and production | queues. |
Status | completion and exception tracking. |
Supervisor dashboards and | production reports. |
Connections to sales | inventory, procurement and order systems. |
AI Capabilities
AI capability | What it does | Human control |
|---|---|---|
Summarization | Summarize production bottlenecks and jobs requiring attention. | Users review the generated summary before relying on it. |
Natural-language queries | Natural-language queries over active work orders and production status. | Limited to permitted business records and actions. |
Document extraction | Document extraction from production instructions or job specifications. | Review before important or irreversible actions. |
AI-assisted drafting | AI-assisted scheduling recommendations where the required production data exists. | Staff reviews the output before sending or committing it. |
Exception detection | Classify production exceptions and recurring delay reasons. | Surfaces items for human review rather than deciding automatically. |
How the Project Works
Stage | What happens | Client involvement |
|---|---|---|
Discovery | map products, work orders, stages, materials, dependencies and scheduling rules. | Explain the current process, users and constraints. |
Planning | define production records, roles, status transitions and system connections. | Confirm priorities, scope and required integrations. |
Development | build the production workflow from job release through completion. | Review working increments and provide operational feedback. |
Testing and launch | validate material, stage and completion scenarios using real production examples. | Validate real scenarios and approve the production workflow. |
Support | refine scheduling, reporting and production controls as operations evolve. | Provide feedback as requirements and processes change. |
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Frequently asked questions
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Projects delivered
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Industries served
8+
Years in business
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