Hard to argue with this long list of benefits

ASCM lends itself to a number of additional benefits:

Improves accuracy, reduces human error, and ensures orders are placed and delivered on time. This ensures parts and materials are available when needed, thus reducing delays
Increases efficiency: not only does it reduce the time it takes to manage the process, it reduces the time it takes to place and receive orders
Improves customer service as companies are able to provide customers with more accurate and timely information about orders and shipments
Improves safety by reducing the risk of human error and ensures all safety protocols are followed

Investing in the wrong part of the pie

Certainly, the potential of ASCM is huge heading into the future.

According to recent industry analysis, it represents $300 billion in annual savings once optimised, and the aviation supply chain would be one of the biggest beneficiaries.

However, the overall focus will need to change to fully realise the potential savings. At present, the lion’s share of investment in AI is earmarked for logistics network and warehouse optimisation, but the analysis suggests this only represents 35 percent of the value potential.

Predictive analytics (such as demand forecasting and predictive maintenance), which represents 60 percent of the value potential (sourcing and procurement accounts for the remaining 5 percent), is a much better return on investment, but only 10 percent are prioritising it, even though 50 percent of companies are investing in AI in some form or another.

An astounding 60-80 percent of all AI projects are falling short of their goals as a result.

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Huge potential of Autonomous Supply Chain Management