Schedules Tembusu Institute

AI Workflow Automations equips senior retail professionals with expertise in technology strategy formulation — conducting emerging technology synthesis, trends evaluation and application, and information gathering and analysis to support technology adoption and innovation. Participants apply artificial intelligence applications, data analytics, business data analysis and text analytics and processing across automation system maintenance and automated system maintenance workflows — extracting live business data via APIs to drive informed decision-making. Grounded in data governance, data strategy and change management, the module develops user experience design thinking and data design capability to govern AI adoption across retail functions.

This module builds professionals' capability to identify opportunities for change and apply emerging AI technologies and automation systems, synthesizing trends across text, image, video, audio and data analytics to enhance business operations. Participants implement guidelines and policies through structured change management practices, applying business data analysis, data strategy and data governance to assess AI applications within their operations. Through hands-on exercises in automated process design, text analytics and processing, user experience design and social media management, participants monitor adoption outcomes and implement continuous improvement processes to sustain responsible emerging technology adoption.

AI for Business Growth equips retail professionals and business owners with the strategic knowledge and applied skills to identify new business opportunities through AI-driven transformation — applying emerging technology and artificial intelligence applications across inventory, supply chain, customer engagement, and digital operations. Participants develop practical skills in data analytics, business data analysis, and data strategy while exploring how automated operation monitoring and data governance principles support reliable, scalable retail systems. With a strong focus on change management and user experience design, the course guides participants through building chatbot flows, AI-enabled SOPs, and CRM automation prototypes — culminating in a capstone strategy canvas that integrates people, processes, and technology into a coherent AI growth roadmap.

Agentic AI and Automation prepares retail professionals to synthesise and apply emerging AI technologies across the full web content and digital automation stack. Participants evaluate cause-and-effect relationships across interconnected agentic pipelines — applying artificial intelligence application, data governance and data strategy to configure digital storefronts, deploy intelligent systems and anticipate the impact of operational transformation across business functions. The module develops automation system maintenance and change management capabilities, equipping participants to extract and analyse text data to discover themes and trends, and apply business data analysis using computational techniques to generate business insights across organisational systems.

AI Workflow Automations equips senior retail professionals with expertise in technology strategy formulation — conducting emerging technology synthesis, trends evaluation and application, and information gathering and analysis to support technology adoption and innovation. Participants apply artificial intelligence applications, data analytics, business data analysis and text analytics and processing across automation system maintenance and automated system maintenance workflows — extracting live business data via APIs to drive informed decision-making. Grounded in data governance, data strategy and change management, the module develops user experience design thinking and data design capability to govern AI adoption across retail functions.

This module equips retail professionals, brand owners and content creators to establish and scale a high-performing social commerce operation across TikTok Shop, Shopee Live. Participants formulate, execute and evaluate social media marketing strategic plans, applying AI applications and automated process design to build efficient, scalable selling workflows, with automation system maintenance principles embedded to sustain ongoing platform performance. Data strategy, data governance, data design and business data analysis capabilities are developed throughout, supported by analytics and computational modelling to interpret performance data and model audience behaviour. Text analytics and processing are applied to measure content impact, and user experience design principles are used to optimise every buyer interaction and drive informed commercial decisions.

AI Productivity Hacks for Work equips working professionals with practical skills in emerging technology synthesis, artificial intelligence applications, and automation system maintenance — applying AI tools responsibly and consistently across core professional tasks. Participants develop competencies in text analytics and processing, data design, business data analysis, and data strategy — producing outputs governed by sound data governance principles. Grounded in change management, user experience design, and social media management, every session is hands-on, with each topic delivering an immediately applicable, job-ready deliverable.

This course equips participants with practical skills to apply Agentic AI — autonomous, multi-step AI workflows — across every dimension of e-commerce campaign management. Participants will learn how to deploy agentic AI to generate e-commerce web pages and storefronts, plan and execute campaign tactics, manage budgets, and identify and target customer segments across online and social platforms. The course develops capability to monitor customer satisfaction signals in real time, personalize and automate campaign message delivery using agentic AI and cron job scheduling, and evaluate campaign performance through AI-driven analytics and testing tools. Participants will also apply agentic AI to research market trends and competitor activity, generating strategic recommendations to continuously refine e-commerce strategy.

The "Data Analytics for Organisational Growth for Retail Companies" course is designed to help retail professionals and business leaders harness the power of data to drive strategic decisions and foster growth. In the competitive world of retail, leveraging data analytics can lead to significant insights into customer behavior, market trends, inventory management, and operational efficiency.

Participants will learn to use data analytics tools and techniques to analyze complex datasets, identify growth opportunities, optimize marketing strategies, and improve overall business performance. The course covers essential topics such as data visualization, predictive analytics, customer segmentation, sales forecasting, and performance metrics, all tailored specifically for the retail sector.

By the end of this course, participants will be equipped with the skills and knowledge to turn data into actionable insights, making data-driven decisions that align with organizational goals and drive sustainable growth in the retail industry.

This module equips participants to apply artificial intelligence application, analytics and computational modelling, and business data analysis to examine internal and external business factors. Participants develop data strategy, data governance and data design skills to establish coherent data frameworks, and use emerging technology synthesis to understand and embed new tools into existing processes. Text analytics and processing and user experience design are applied to surface insights and refine how outputs are used across the organisation. Change management principles guide participants in sustaining new practices across teams. Participants apply AI tools to develop an AI Transformation Roadmap that strengthens data-driven decision-making and long-term performance.