A New World for Supply Chain Analytics Post Pandemic View - Pushkar Symbiosis Institute of Operations Management, Nashik. Introduction It is said that data is the new oil and analytics is the required ignition to produce the power punch to run large businesses. Today analytics is the buzz word used in almost every domain of any business. Does this power punch help societies overcome current catastrophic condition? Post pandemic times will witness great Socio-economic and behavioral changes amongst the consumers. It will be wise to keep in mind that like any other viral infection, health conditions caused by covid-19 is treatable and not curable. Thus there will be fatalities (very less in number) and transmission (like the common flu) even after vaccines are created. Thus post pandemic times refer to a comparatively long time frame where government imposed restriction will be removed but self-imposed restriction in the public will persist. Here are a few insights into how data analytics in supply chain or popularly called as Supply chain analytics will be useful post pandemic times.
Illustration of different applications of Supply Chain Analytics
terms of input from the customers down the supply chain, or any other external factors in consideration like a new competitive product or weather condition or economic slowdown etc. With the increase of door to door delivery of essentials and non-essentials through services provided on internet platform will not only give a boost to the preventive measures for the disease but will also give a better idea of consumer behavior and sentiments through analytics as all the data will be coming from the end consumers directly. E.g. While purchasing a product or service at a brick and mortar store, it is difficult to record the reasons for a non-purchase of items or services. However, with more internet-based services, it is easier to record and analyze what web links a consumer has opened or
Demand Forecasting Demand forecasting is perhaps one of the most important aspects of Sales and operations planning. A near to perfect demand planning ensures that the entire supply chain works in an optimum manner. Basically there are two components of this forecast. First component comes from the statistical calculation of past data and second component comes as corrected data in
Momentum | June’ 20 Edition, Vol. XII
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