Manufacturing

AI transforms production, quality inspection, and scheduling into continuously optimized system engineering.

Core Value

Automated quality inspection

  • Production planning optimization
  • Equipment health management

Deliverables

01

Visual Quality Inspection Model (defects/counting/detection)

What We Deliver

  • Build end-to-end visual inspection models (defect detection, material counting, defect recognition)
  • Provide stable deployable model pipeline (data cleaning → labeling strategy → model training → compression deployment)
  • Support real-time detection and alerts for industrial cameras/production lines
  • Visualized quality inspection reports and defect statistics dashboard

Expected Results

  • Quality inspection accuracy improved by 90%+
  • Manual inspection costs reduced by 40–70%
  • Missed inspection rate reduced by 80%
  • Overall production yield improved by 5–12%
02

Automatic Scheduling System (APS + AI optimizer)

What We Deliver

  • Build AI scheduling engine (considering capacity, shifts, materials, delivery dates and other multi-dimensional constraints)
  • Provide visualized production Gantt chart and scheduling editor
  • Support rapid rescheduling (update within seconds after order changes)
  • Automatically identify bottleneck processes and provide optimization suggestions

Expected Results

  • Scheduling efficiency improved by 80–95%
  • Scheduling workload reduced by 60–80%
  • Production line load balance improved by 20–40%
  • On-time delivery rate improved by 15–30%
03

Equipment Health Prediction Model (Predictive Maintenance)

What We Deliver

  • Build predictive models for equipment sensor and operation data (vibration/temperature/current/noise, etc.)
  • Predict potential failure points and provide 'Remaining Useful Life (RUL)' estimates
  • Equipment health dashboard: status, trends, risk levels
  • Support automatic triggering of alarm rules and maintenance recommendations

Expected Results

  • Fault downtime reduced by 50–70%
  • Maintenance costs reduced by 20–40%
  • Key equipment lifespan extended by 10–25%
  • Fault warning advanced by 7–14 days
04

Supply Chain Intelligent Dashboard

What We Deliver

  • End-to-end supply chain data integration: real-time synchronization of inventory, capacity, orders, logistics
  • Build predictive models (demand forecast, inventory forecast, procurement forecast)
  • AI risk control engine: early identification of delay risks, shortage risks, warehouse overflow risks
  • Visualized dashboard: supply chain overview, key KPIs, intelligent recommendations

Expected Results

  • Inventory turnover improved by 20–35%
  • Shortage rate decreased by 40–60%
  • Supply chain response speed improved by 50%+
  • Decision-making efficiency improved by 3–5 times

Typical Scenarios

  • Inconsistent quality control standards
  • Scheduling relies on experience
  • Multi-factory coordination difficult to refine

Data Value

  • Defect detection error rate reduced by 90%+
  • Scheduling efficiency improved by 50-200%
  • Equipment anomaly early warning 72h-168h in advance

Ready to Transform Manufacturing Operations?