Abstract
Supply Chain Management (SCM) is one of the new concepts put into practice in the commercial sector. At the beginning, Multinational Companies (MNCs) incorporated the supply chain into their structures, then other private conglomerates and local people defended these concepts. From the beginning, the main functions of SCM were the management of purchases and purchases, but subsequently SCM took the integrated form i.e. consists of sourcing, materials management, production support and sales management. Given the highly competitive market scenario, supply chain management is becoming the most important functional area of the business. Demand forecasting is affecting the success of Supply Chain Management (SCM), and the organizations which support them and are in the early stage of a digital transformation. In a near future it could represent the most significant change in the integrated SCM era in today’s complex, dynamic, and uncertain environment. The ability to adequately predict demand by the customers in an SCM is vital to the survival of any business. In this paper a review is presented in which this problem is tried to solved by using various demand forecasting models to predict product demand for grocery items with machine learning techniques.
Highlights
In the era of greater demand uncertainty, higher supply risk, and increasing competitive intensity, Supply Chain Management (SCM) excellence often depends on the organization’s ability to integrate the entire spectrum of end-to-end processes of acquiring components or materials, converting them into finished goods, and delivering them to customers
By characterizing the antecedents and career paths of CEMs, we show that Supply Chain Management (SCM) is a truly cross-functional profession
Our findings suggest that the former employee responsibility appears to be a more important recruitment criterion than the full experience of supply chain management
Summary
In the era of greater demand uncertainty, higher supply risk, and increasing competitive intensity, Supply Chain Management (SCM) excellence often depends on the organization’s ability to integrate the entire spectrum of end-to-end processes of acquiring components or materials, converting them into finished goods, and delivering them to customers. SC organization’s struggle to collect and make sense of an overwhelming amount of data scattered across different processes, sources and, systems Under these conditions it is incredibly challenging to manage and monitor the complete SC, resulting in undesirable risk exposure, delays, disruptions, and as well as increased costs [2]. SCM enables an organization to source the components and raw materials that are needed to create a service or product and deliver that service or product to customers [3]
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