Case Study PaperSupply Chain Management makes extensive use of predictive analytics, Artificial Intelligence (AI) and Machine Learning (ML) for making efficient and timely decisions to meet consumer...

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Table of Contents
Background    2
Demand Planning Management    2
Supply Chain Network design    3
Procurement Management    3
Product Design and Development    4
Supply Chain Logistics    5
Security    5
Conclusions    6
References    7
Background
Walmart is changing the face of the retail business and the company continues to pursue the way of bringing the use of technology into retail for offering customers a seamless experience of shopping. The company with the implementation of technology provides a way for saving money and time while reimagining physical and digital shopping. The company has invested a lot in implementation of artificial intelligence and machine learning for ensuring substitution logic (Mounika et al. 2021). Artificial intelligence is important for the company in becoming better and it can be used in deep learning for production and getting better results. This focuses on customers and it can help in predicting the future and it is required for handling customer demands. Walmart is implementing machine learning and artificial intelligence in creating technology solutions for identifying the best items for customers. It is an important signal for providing the feedback into the learning algorithm for improving the accuracy of future recommendations.
Demand Planning Management
    Demand planning management in Walmart includes use of machine learning that can help in predicting changes in sales that is based on customer preferences and previous trends. This technology is constant for analysis of data for finding different patterns. Artificial Intelligence is another technology that is required for taking the data and optimization of actionable insights for creating larger impacts. This technology can help in providing the right forecast for inventory that can help in optimizing the right channel at the right time that is based on predicted demand (Akande et al. 2022). It allows retailers in optimizing products, rebalancing inventory and management of safety stock. The inventory plan is linked directly with customers for fulfillment services and that is driven by service levels and optimized profit. This can help in providing the right demand forecasting solution for enabling retailers to take right actionable steps in analyzing the demand as machine learning analyzes and collects preferences of customers. It can help in adapting the insight for informing availability and assortment of stock.
Supply Chain Network design
    The supply chain network design of Walmart includes use of machine learning and artificial intelligence for enabling smarter process automation that provides both downstream and upstream. The use of automation processes can help in ensuring better physical flow of goods and it can help in building the prediction correlation and model for providing analysis for better understanding of causes. The supply chain model of Walmart, includes the use of machine learning and artificial intelligence for ensuring better data quality and...