Today we have an explosion of real-time sensors for both manufacturers and retailers. These sensors allow us to gather even more data than before and apply Artificial Intelligence (AI) and machine learning to improve processes and maximise efficiency.
This can help optimise and control the entire commercial process. From optimal sourcing to delivery logistics for raw materials – every bit of the process can now be tracked and monitored.
Even with all these new advances, most of the data manufacturing managers work with is locked up in disparate systems, platforms and formats.
This is where PredictX comes in.
Instead of focusing on analysing past data, our solution puts our users one step ahead of any business process by following these three steps:
Future trends, opportunities and problems.
Potential problems, anomalies and lost opportunities.
Appropriate action upon receiving insight.
Identify bottlenecks and loss of efficiencies. Anticipate future repairs and improve uptime.
From distribution to shipping, leverage GPS tracking data to optimise the entire distribution chain.
Drive additional margins by deploying the workforce based on customer demand rather than hard-wired rotas.
Interrogate the manufacturing process itself. Decrease variability while increasing quality and efficiency.
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