Digital transformation in supply chain management enables organisational flexibility and business process automation and accelerates innovation in supply chain management. To take maximum advantage of digitalised supply chain models, it is important that companies make it an integral part of the overall business model and organisational structure. 

This module starts with an overview of aligning overall organisational performances required by the extended supply chain with the business strategy and the adoption of supply chain-related technologies. Incorporating a strategic outlook, the training will explore how the supply chain will function within its evolving environment to deliver on the organisation's strategic objectives and goals.

In the journey toward an intelligent digital supply chain, it is important for businesses to take full advantage of the latest digital transformation technologies – artificial intelligence (AI), machine learning (ML), predictive analytics, unified commerce and big data to fully optimise their supply chains. 

Module 1 explores the confluence of 3 core technologies in supply chain innovation – Internet of Things (IoT), AI and Autonomous Technologies – and how they can be integrated effectively to drive intelligence in supply chain operations.

Comprising 5 modules, this certificate programme will help supply chain practitioners build a solid foundation in machine learning (ML) techniques and focus on the deployment of AI and ML in supply chain systems and processes.

Integrating sustainable practices in the supply chain not only meets growing consumer expectations for responsible business conduct but also mitigates environmental impact, reduces operational risks, and enhances long-term viability. Sustainable supply chain management involves responsible sourcing, eco-friendly manufacturing processes, efficient logistics, and end-of-life considerations, contributing to corporate social responsibility and fostering resilience against global challenges.

This module provides participants with essential knowledge of ML and Deep Learning using commercially available software and tools. Participants will also gain an understanding of big data, business data and analytics in business. They will learn how to generate business value from the application of Google AppSheet and RPA and be able to create business analytics reports and analyse business data sets to generate facts, valuable outcomes and sustainable impacts.

Comprehensive supply chain analysis allows for the identification of bottlenecks, cost-saving opportunities, and areas for optimisation. It enables data-driven decision-making, enhances visibility across the entire supply network, and helps mitigate risks. By scrutinizing key metrics, such as lead times, inventory levels, and supplier performance, businesses can adapt to market dynamics, improve customer satisfaction, and strategically align their supply chain with overarching organisational goals.

Transportation management is crucial in the supply chain as it plays a pivotal role in ensuring the seamless and efficient movement of goods from suppliers to consumers. It directly impacts delivery times, inventory levels, and customer satisfaction. With the global nature of supply chains, transportation management becomes even more critical, involving strategic decisions on modes of transportation, cross-border logistics, and real-time route adjustments.

The overall objective of this course is to equip participants with a broad based understanding of the application of smart technologies and its implication and impact on business intelligence.

By leveraging ML algorithms, businesses can enhance supplier selection, negotiate favorable contracts, and predict market trends, ultimately improving the efficiency and effectiveness of strategic sourcing initiatives.