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1. Fundamentals of Artificial Intelligence (AI) in the company
- General introduction to AI: history and evolution of AI
- Main AI concepts and terminology
- Differences between Machine Learning, Deep Learning, and other branches of AI
- AI models and their general applications
- AI Working environment: core tools, languages, and platforms
- Implementation of AI solutions in the company (Cloud vs On-Premises)
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2. Fundamentals of AI in Sales and eCommerce
- AI and its impact on sales in the company
- Specific applications of AI in the field of eCommerce
- AI solutions for sales and eCommerce. Main tools
- Ethics and challenges in the use of AI in digital business activity
- Implications of the European Artificial Intelligence Regulation
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3. Sales Growth Strategy with AI
- Goal setting and strategic planning with AI
- Identifying business opportunities using AI
- AI-based market segmentation
- Using predictive analytics to make informed decisions
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4. AI for ecommerce traffic attraction
- AI applied to digital marketing and customer acquisition
- Programmatic marketing and automated campaign optimization
- Personalized advertising with AI
- Analysis of large volumes of data for decision-making in campaigns
- SEO and SEM optimization with AI
- AI tools for keyword analysis
- Automated content and ad optimization
- Competitive analysis using AI
- Content personalization using AI
- Product recommendation using algorithms
- Audience segmentation automation
- Creating personalized customer experiences
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5. Driving eCommerce conversion with AI
- Conversion rate optimization (CRO) with AI
- Automated A/B testing and predictive analysis
- Identifying buying patterns using AI
- Price optimization with AI algorithms
- Shopping exprience automation
- Recommendation and cross-selling systems
- AI-powered internal search engines
- Chatbots and virtual assistants to accompany the user during the purchase
- Optimizing payment processes with AI
- Optimized and secure payment systems
- Fraud prevention and risk management using AI
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6. AI-powered Customer Loyalty
- Personalized loyalty programs with AI
- Creating behavior-based loyalty programs
- AI applied to incentive retention and personalization
- Churn and customer retention prediction
- Identifying customers at risk of churn
- Machine learning-based retention strategies
- Data analysis and continuous improvement
- Using big data and AI for post-purchase analysis
- Continuous improvement of service and products through data analysis
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7. AI Applied to Customer Service
- Chatbots and virtual assistance
- Implementing AI chatbots
- Improving the customer service experience with AI
- Personalization of answers and 24/7 attention
- Customer sentiment analysis and feedback
- AI review and sentiment analysis
- Improving customer service based on emotion analysis
- Customer support automation
- Automated troubleshooting systems
- Improving customer satisfaction with proactive AI systems
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8. Efficient Operations using AI
- Inventory management with AI
- Demand forecasting and inventory optimization
- Supply chain automation
- Smart storage and optimized logistics
- AI applied to pricing management
- Dynamic pricing based on demand and competition
- Optimal pricing algorithms
- Automation of operational processes
- Logistics automation and order management
- Real-time analysis of operational processes
- AI applied to enterprise resource planning (ERP)
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