{"id":246325,"date":"2022-01-11T07:07:38","date_gmt":"2022-01-11T07:07:38","guid":{"rendered":"https:\/\/imarticus.org\/?p=246325"},"modified":"2022-01-11T07:07:38","modified_gmt":"2022-01-11T07:07:38","slug":"should-we-reconcile-forecasts-to-align-supply-chain-management-and-analytics","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/should-we-reconcile-forecasts-to-align-supply-chain-management-and-analytics\/","title":{"rendered":"Should we reconcile forecasts to align supply chain management and analytics?"},"content":{"rendered":"

One of the biggest perks of analytics in supply chain management is its utilisation of the demand forecast. Managers at different levels of the supply chain may be using it for different purposes. The common factor is that they all use the data for making some sort of decision.<\/span><\/p>\n

One could say that the <\/span>supply chain management career<\/b><\/a> will require you to make a lot of decisions based on the various data available at any given time. Decisions of different levels may be based on the same set of data or entirely different ones as well.\u00a0<\/span><\/p>\n

One must think about whether or not to align multiple levels using the forecasts. So the question here is, will it be wise to use a unified forecast across all levels?<\/span><\/p>\n

Unified forecast in Supply Chain Management (SCM)<\/b><\/p>\n

The technological advancements have made it easier to unify the various sections or levels in the SCM and send a common forecast for all. But, it is the only easy path here as there are more challenges ahead for such a decision to be successful. The main challenges here are,\u00a0<\/span><\/p>\n