Early detection of delivery delays


Reduction of delivery delays by 27%

Targeted stock optimisation based on the data insights resulted in a reduction of delivery delays by 27%


 

What was the business challenge?


The Germany based manufacturer with global reach was grappling with additional costs and customer dissatisfaction stemming from consistent delivery delays.

 

How did Prospero provide a solution?


Using predictive analytics and DetectX® Business Monitoring solution Prospero were able to identify the relevant factors for delay in delivery on the basis of all the available delivery and customer data (e.g. production details, input material stock levels etc).

 

What were the results?


The manufacturer were able to take direct action for improvement by acting on the insight provided by DetectX® enabling them to know which factors were most relevant for causing the delays.  Targeted stock optimisation based on the data insights resulted in a reduction of delivery delays by 27%. This led to both cost savings and increased customer satisfaction.

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Process optimisation in aluminium company

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Optimisation of Production Planning