Duration 2 days – 14 hrs
Overview
This comprehensive training introduces the fundamentals of Artificial Intelligence (AI) and demonstrates its practical applications across different departments of an FMCG company. Participants will explore how AI can streamline processes, enhance productivity, improve decision-making, and foster innovation within the context of the FMCG industry.
Objectives
- Understand AI fundamentals and its role in the FMCG industry.
- Identify opportunities to implement AI within their respective departments.
- Gain hands-on experience with basic AI tools and applications.
- Learn to analyze data-driven insights for better decision-making.
- Understand the ethical considerations and limitations of AI in business operations.
Audience
- Employees from all departments (Sales, Marketing, Supply Chain, Production, R&D, HR, Finance, Customer Service, IT)
Prerequisites
- No prior AI knowledge required
Course Content
Understanding AI Fundamentals
Objective: Introduce core AI concepts and its applications in FMCG.
- Introduction to Artificial Intelligence
- What is AI?
- AI vs Machine Learning vs Deep Learning
- AI trends in the FMCG industry
- AI in Everyday FMCG Operations
- Examples of AI applications in supply chain, marketing, sales, and R&D
- How AI is reshaping the FMCG landscape globally and locally
- Interactive Session:
- AI use case brainstorming: Participants identify AI opportunities in their departments
AI Applications Across FMCG Departments
Objective: Explore how AI impacts various departments
- Sales & Marketing:
- AI for customer segmentation and personalized marketing
- Predictive analytics for sales forecasting
- AI in social media and brand sentiment analysis
- Supply Chain & Production:
- AI in demand forecasting and inventory management
- Smart logistics and route optimization
- AI for quality control in production
- Finance & HR:
- AI-driven financial reporting and fraud detection
- Automating HR processes (recruitment, onboarding, performance tracking)
- AI tools for payroll and compliance
- R&D & Customer Service:
- AI in product development (trend analysis, customer preferences)
- Virtual assistants and AI chatbots for customer support
- Enhancing customer experiences through AI personalization
- Interactive Workshop:
- Department-specific AI scenario exercises
Implementing AI and Ethical Considerations
Objective: Provide guidance on adopting AI tools and understanding ethical considerations.
- Adopting AI in the Workplace:
- Roadmap to AI implementation for FMCG companies
- Evaluating AI tools (automation, analytics, AI SaaS platforms)
- Integrating AI with existing business systems
- Ethical AI in Business:
- Data privacy and AI ethics (GDPR, Data Privacy Act of the Philippines)
- Avoiding AI bias in decision-making
- Responsible AI practices
- Capstone Activity:
- Group project: Create a simple AI-driven solution for a specific business challenge in the company
- Q&A and Wrap-Up:
- Open forum for questions
- Sharing best practices and next steps
- Closing Remarks
