> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wayak.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Manufacturing

> Monitor production costs, track quality, and automate shift reporting with AI agents

Manufacturing operations generate massive volumes of data across ERP systems, production databases, CMMS platforms, and quality management systems. The challenge is not collecting this data — it is turning it into timely, actionable decisions. Late cost variance alerts, missed maintenance windows, and undetected defect patterns all eat into margins.

Wayak connects your manufacturing data sources, layers business logic through a semantic layer, and deploys agents that monitor, analyze, and report on production performance automatically. Your team gets answers in seconds instead of hours, and playbooks handle the repetitive analysis that used to require a dedicated analyst.

## Use cases

<CardGroup cols={2}>
  <Card title="Work order cost tracking" icon="calculator" href="/use-cases/manufacturing/work-order-cost-tracking">
    Compare estimated versus actual costs on production orders and catch overruns before they compound across the shop floor.
  </Card>

  <Card title="Shift performance reporting" icon="gauge" href="/use-cases/manufacturing/shift-performance-reporting">
    Automatically generate OEE summaries at the end of each shift with downtime breakdowns and line-by-line comparisons.
  </Card>

  <Card title="Quality defect analysis" icon="magnifying-glass" href="/use-cases/manufacturing/quality-defect-analysis">
    Identify defect patterns across production lines, shifts, and operators to reduce scrap rates and drive corrective actions.
  </Card>

  <Card title="Maintenance scheduling" icon="wrench" href="/use-cases/manufacturing/maintenance-scheduling">
    Monitor equipment service dates, flag overdue maintenance by criticality, and alert the right teams before failures occur.
  </Card>

  <Card title="Material usage variance" icon="boxes-stacked" href="/use-cases/manufacturing/material-usage-variance">
    Track actual material consumption against bills of materials to catch waste, substitution errors, and pricing discrepancies.
  </Card>
</CardGroup>

## Platform capabilities used

| Capability       | How it's used                                                                                                                                                                                                   |
| ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Data sources     | ERP system (work orders, BOMs, cost postings), production database (output logs, downtime events), CMMS (maintenance schedules, equipment records), quality management system (defect logs, inspection results) |
| Knowledge spaces | Standard operating procedures (SOPs), quality manuals, equipment maintenance guides, safety checklists                                                                                                          |
| Semantic layer   | Objects for work orders, production lines, equipment, and materials. Metrics for OEE, cost variance, defect rate, and MTBF. Dimensions for shift, line, operator, and defect category                           |
| Agents           | Production Cost Monitor for cost variance analysis. Quality Assurance Analyst for defect pattern identification                                                                                                 |
| Playbooks        | Scheduled daily cost variance alerts, end-of-shift OEE reports, daily maintenance scans, weekly material usage summaries                                                                                        |