Context

In manufacturing processes, delays caused by missing parts are common, leading to costly interruptions and missed delivery times. Manually finding these parts can take up valuable time and delay the entire production chain, compromising customer satisfaction and profitability.

Solution

Our AI solution analyzes production orders in real time to identify potential missing parts. Thanks to advanced algorithms, it cross-references this data with available inventory and supplier delivery times to anticipate parts needs and avoid delays. This proactive approach makes it possible to maintain smooth production flows and optimize the use of resources.

Benefits

  • Reduced production downtime
  • Improving purchasing and inventory planning
  • Increased customer satisfaction thanks to reliable delivery times
  • Optimizing costs by avoiding emergency shipments

Contact an expert

Need more information on this use case?

Contact us

Résultats

+20%

From OTIF

3

weeks in advance of the missing pieces

20%

reduction in costs associated with production stoppages

Customer cases that might interest you

Manufacturing

Smart sampling

Optimize your quality control processes by adopting intelligent sampling

Learn more

Manufacturing

Supply Chain

Predictive maintenance

Anticipate breakdowns and maximize the availability of your equipment

Learn more

Manufacturing

Optimization of production schedules

Anticipate and adjust your schedules in real time to optimize your efficiency

Learn more

Do you have a transformation project?

Contact us