PROGRAMME OVERVIEW

Supply Chain Management is essential for optimising operations and ensuring the seamless flow of goods and services in today's dynamic global economy. Organisations must adapt to changing market demands and technological advancements, such as the rise of e-commerce and digitalisation, which increase complexity in supply chain networks and emphasise the importance of agility and resilience. Analytics is transforming supply chain management by providing actionable insights from vast amounts of data. In particular, the use of AI tools—such as machine learning, natural language processing, and intelligent automation—is revolutionising the field by enabling real-time decision-making, demand forecasting, anomaly detection, and autonomous operations. These technologies enhance supply chain visibility, reduce human error, and allow for quicker responses to disruptions. Organisations can leverage predictive and prescriptive analytics techniques, powered by AI, to optimise inventory levels, reduce lead times, and enhance overall performance, empowering them to innovate, improve productivity, and gain a competitive edge.

The impact of data analytics extends beyond individual organisations, influencing entire industries and countries. For government organisations, data analytics plays a crucial role in optimising public sector supply chains, improving procurement processes, enhancing supply chain transparency, and ensuring efficient service delivery to citizens. However, to fully realise the benefits of data analytics, managers must be trained in analytical techniques and tools. Trained managers can apply the techniques to drive innovation, efficiency, and sustainability across the supply chain. By leveraging data analytics, professionals can identify growth opportunities, optimise processes, and drive strategic initiatives, contributing to organisational success and personal career advancement. Ultimately, data-driven decision-making contributes to a more accountable and resilient supply chain ecosystem, creating positive impacts on organisations, governments, and society as a whole.

OBJECTIVES

•         Understand the optimisation of Supply Chain Management in business and governance.

•         Learn about Generative AI and its applications in Supply Chain Management.

•         Gain hands-on experience with Power BI, Tableau, and Microsoft/IBM analytics tools.

•         Explore real-time supply chain monitoring using AI, ML, and blockchain for enhanced transparency.

•         Work on a capstone No-Code AI project, applying AI-driven analytics to address real-world supply chain challenges.

CONTENT

Day 1: Introduction to Supply Chain Management and AI Applications

•         Overview of supply chain management and its role in business and governance.

•         Introduction to Generative AI in supply chain management.

•         AI-powered tools for demand forecasting, inventory management, and procurement optimisation.

Day 2: AI-Powered Supply Chain Optimisation

•         Application of AI-driven strategies for supply chain efficiency.

•         Hands-on training with Power BI and Tableau for real-time data visualisation and analysis.

•         Integrating AI-driven predictions into supply chain strategies using Microsoft and IBM analytics tools.

Day 3: Real-Time Supply Chain Monitoring and Capstone Project

•         AI and ML applications for real-time supply chain monitoring.

•         Role of blockchain in enhancing supply chain transparency and risk mitigation.

•         Capstone project: Applying AI-driven analytics to a real-world supply chain challenge.

•         Group presentations and expert feedback.

METHODOLOGY

The programme follows an interactive and experiential learning approach, incorporating:

•         Classroom sessions

•         Case studies

•         Hands-on training

•         Experience-sharing discussions with industry experts

FACULTY PROFILE

The programme will be led by:

•         Prof. BVN Sachendra – Professor and Dean of Training Programmes who brings about twenty-eight years of experience that includes industry and academia. He has trained thousands of procurements, contract management, and supply chain management officers.

•         Dr Raman Ghosh – Assistant Professor (AI & Analytics), with eight years of research and industry expertise in Artificial Intelligence, Machine Learning, Blockchain, IoT, and Simulations in Project Management.

The faculty team will also include eminent civil servants, industry practitioners, and experienced faculty members from the College, ensuring a comprehensive and practical learning experience

PARTICIPANT PROFILE

The programme is designed for middle and senior-level executives and officers involved in supply chain management and data analytics across Public Sector Enterprises (both CPSEs and SLPEs), government ministries and departments, and other organisations (including autonomous bodies) that are substantially owned, controlled, or financially supported by the government. This programme is particularly valuable for professionals managing public sector supply chains, government funded projects, and large-scale infrastructure developments. It ensures efficiency, transparency, and strategic decision-making through data-driven insights, aligning with contemporary governance and business challenges.

Organisational sponsorship is essential

VENUE

The programme is fully residential and the participants will be accommodated in air-conditioned single occupancy rooms. The college does not provide accommodation for the family. The college is Wi-Fi enabled in a comprehensive way.

DURATION

The programme duration is from August 04 - 06, 2025. The participants are expected to arrive a day before commencement and may leave after the conclusion of the programme.

PROGRAMME FEE

Residential Fee: Rs. 43,700/- (US $ 683 for foreigners) plus GST as applicable (presently 18%) per participant. The fee covers tuition, board and lodging, courseware (in electronic form) and other facilities of the College including internet usage.

Non-Residential Fee: Rs. 37,700/- plus GST as applicable (presently 18%) per participant. The fee covers tuition, course ware (in electronic form) working lunch and other facilities of the College including internet usage.

A discount of 10% on the programme fee for three or more participants from the same organisation will be given, provided the payment is made into our Bank account before  

August 01, 2025.

MEDICAL INSURANCE

The nominees are requested to carry with them the proof of Medical Insurance. The sponsoring agency is required to endorse the nominee's medical coverage in the event of hospitalization.

LAST DATE FOR NOMINATION

Please use the prescribed/attached form. The last date for receiving the nomination form is

July 21, 2025. Kindly contact Programmes Officer for further information (contact details are given at the end of the nomination form).

LAST DATE FOR WITHDRAWAL

July 28, 2025. Any withdrawals after this date will entail forfeiture of the fee paid, if any.

ASCI ALUMNI ASSOCIATION

Participants of College Programmes will automatically become members of the ASCI Alumni Association.

CERTIFICATE OF PARTICIPATION

The College issues a Certificate of Participation after the programme.