Digitalisation — Supply Chain Improvement and Optimisation

Towards Industry 4.0

Reshma Unnikrishnan
Arnekt-AI
3 min readOct 18, 2019

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source: Strategy& analysis

The vision of Industry 4.0 can be realised by digitising the processes involved in any organisation’s sector. One such sector is the supply chain, where connected, smart and highly efficient platform is required to replace the traditional supply chain processes.

The supply chain today is a series of largely discrete, siloed steps taken through marketing, product development, manufacturing and distribution and finally into the hands of the customer.

Strategy&

source: Strategy& analysis

The expected platform will be depending on a number of primary technologies such as integrated planning and execution systems, logistics visibility, autonomous logistics, smart procurement and warehousing, spare parts management and advanced analytics. These technologies enables the new degree of resiliency and responsiveness in the supply chain network that results in an efficient and transparent service delivery to customers. As a first step, we have to enable the “Logistics Visibility” — creating a virtual layer with integrated information available across the chain.

Lack of complete and timely information introduces a friction in supply chain network. This friction can be overcome through the efficient exchange of information. Data from internal and external sources, such as transport tracking devices and social listening is brought into a single platform.

Visibility into both transport status and expected external impacts on lead time, and the ability to change plans accordingly, will be instrumental for companies looking to use their supply chains to competitive advantage, and to manage more carefully the many risks associated with supply chain activities.

— Strategy&

Once the data is made available under one platform, Big data analytics plays a role to automate the processes involved in supply chain network. More than data analytics, this requires a process driven analytics (prescriptive analytics). It has the ability to optimise for any number of factors across the entire chain depending on circumstances and then actively modify the chain when necessary.

Arnekt is the supplier for the demand of data migration and transformation, data and process analytics. Closely working with our clients from Transportation & Logistics, we are in the process of building such digital supply chain command centre. We offer a stack of analytics services through our Cognitive Intelligence platform, which composes technologies to handle data in any format.

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