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The manufacturing industry is adopting AI

In 2018, $443 billion dollars’ worth of excess inventory was stranded in supply chains. AI is helping to lower those costs by helping manufacturers optimize their business practices.

Common challenges in manufacturing:

  • Quality control
  • Sensing demand
  • Lack of timely information processing and issue resolution

Preventative Maintenance

AI-powered assessments predict failure points and potential pitfalls, helping manufacturers avoid scrapped production and unscheduled downtime.

Product Quality Control

Advanced deep-learning algorithms determine process drift prior to the appearance of anomalies, reducing the losses incurred by poor quality items.

Warehouse Labor Optimization

Data-driven insights assist in the development of optimal, time-efficient work schedules.

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