Supply Chain Management - Machine Learning

Supply chain
management
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Supply chain management 1
Contents
Introduction......................................................................................................................................2
Machine learning can transform the Supply Chain.........................................................................3
Supplier relationship management..............................................................................................4
Improves predictive contract consumption and compliance.......................................................4
Management of time, cost, and resources in SCM......................................................................5
Demand planning capabilities......................................................................................................6
Safety Stock Levels.....................................................................................................................6
Effective and low cost logistic operations...................................................................................7
Real-Time Visibility, Which Improves Customer Experience....................................................8
Resource scheduling systems......................................................................................................9
Transformation in supply chain operating models........................................................................10
Conclusion.....................................................................................................................................13
References......................................................................................................................................14

Supply chain management 2
Introduction
The companies have traditionally uses business intelligence gathering system with the motive to
monitor the performance of highly complex order-to-cash (OTC) processes. In the research, it
has been found that the rapid advancement in the analytics as well as in machine leaning has
made companies to bring the changes in their traditional approach. The machine learning is an
implementation of the Artificial intelligence that offers the system’s capability to study as well as
to enhance from the experience without being explicitly programmed. The machine learning
contribute effectively in supply chain management which is considered as the management of
flow of products and services that consists of entire processes that can convert the raw material
into the final products. The machine learning effectively contributes in supply chain
management. The aim of the report is to understand how machine learning can transform the
Supply Chain. The different aspects that can contribute in transforming supply chain
management are discussed in the report, which is presented below. In the research report, some
of the elements are supported with the real-world examples of the company.

Supply chain management 3
Machine learning can transform the Supply Chain
In the present world, the machine learning contributes effectively in bringing the changes in the
activities of the business. Machine learning will get combine with the data with the motive to
predict the demand for the products and services. Along with this, it helps to manage the
sourcing as well as manufacture of those products (Brynjolfsson & Mitchell, 2017). The efficient
supply chains majorly rely on the products that are being in the correct place at correct time. The
machine learning is refers to as the changes in the system that perform the wide range of
activities or task that are linked with the artificial intelligence (Lucas, 2019). These tasks consist
of the diagnosis, planning, prediction, and many others. The machine learning is coming into its
own with the rising acknowledgment that machine learning performs the wide range of the
critical application like data mining, recognition of image, expert system and the languages
processing. In the research, this can be said that machine education can convert the supply chain
management (Alicke, Rexhausen & Seyfert, 2017).
Machine learning makes it possible with the motive to determine the new patterns that are
available in the supply chain statistics by depending on the algorithms that rapidly locate with
aspects that influence the most to the supply networks. The identification of the new patterns
within SCM data has the potential to bring the revolution (Feki, Boughzala & Wamba, 2016,
January). The algorithms in the machine learning are related with the findings of the new
patterns in SCM as per the daily data without any need of the manual intervention. The key
factors that influence the level of inventory, planning of production, forecasting of demand,
quality of suppliers, management of the transportation and it is becoming for the first time. The