decision-makers to quickly re-assess and evaluate alternatives and adjustments . Automation is supplementing and replacing repetitive human tasks . Ultimately we see supply chains evolve to autonomous , connected and selflearning ecosystems .
There has been a step-change in digital transformation within the supply chain and manufacturing industry over the past few years . Companies typically rely on bulky standalone “ modern ” systems such as Manufacturing Execution Systems ( MES ) or Transportation Management Systems ( TMS ) in combination with their Enterprise Resource Planning ( ERP ) systems . This gives companies “ base ” functionality and capability in a specific operational area such as planning , manufacturing or transportation .
What we are now seeing is that with Industry 4.0 / IoT concepts , companies are now looking to solve problems or use cases that require a combination of data from a number of these modern systems , as well as new data sources , requiring “ base plus ” capabilities to connect and analyse these diverse data feeds . For example , “ base
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