Automating common operational processes in a business has become the only panacea to tackle all transformational roadblocks faced by the Supply Chain Industry in this age of exponentially growing data. IoT and Machine Learning based technologies are paving way for traditional supply chain towards a smarter and more efficient digital ecosystem.

Automation is not only reducing manual efforts drastically but is also set to spur tangible improvement in customer experience. By the end of 2020, 50% of all manufacturing supply chains will have the capability, either in-house or outsourced, to enable direct-to-consumption shipments and home delivery.  

New Business Models

The need to increase demand transparency and end-to-end visibility has revealed the potential for all business models to get rid of ambiguity and embrace predictive forecasting of core process parameters, in turn increasing the latency of decision making throughout supply chain lifecycle.

Focusing on value generation has become the key to establishing more resilient and responsive networks. Adopting a zero-based approach will not only help businesses in minimizing organizational components but also in deploying cross-functional strategies that will accelerate decision making and build dynamic capabilities.   Sustainability and Government