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1. Fundamentals of Artificial Intelligence applied to business
- Key concepts of Artificial Intelligence applied to business and sales
- Generative, predictive, and analytics AI
- Real use cases of AI in commercial management
- Implementing AI solutions in the enterprise
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2. AI as a Co-Pilot for Sales Teams
- Preparing for business meetings with AI-assisted
- Generation of proposal and sales pitches
- Automation of business tasks
- Data, ethics, and regulation in commercial AI
- European AI regulation
- Responsible use of business data
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3. AI applied to business development
- Identification of new markets
- Competitive analysis with AI
- Expansion and growth in B2B and B2C environments
- Customer and key account analytics
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4. Customer Acquisition and Lead Generation with AI
- AI-assisted commercial prospecting
- Lead scoring and intelligent segmentation
- AI support for sales-oriented marketing
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5. AI to improve conversion and sales closing
- Identifying buying patterns
- Personalization of offers and pricing strategies
- Support for negotiation and closing of sales
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6. AI applied to customer relations and 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
- Retention strategies based on machine learning
- Data analysis and continuous improvement
- Using big data and AI for post-purchase analytics
- Continuous improvement of service and products through data analysis
- AI to improve customer experience in pre-sales, sales, and post-sales
- Chatbots and virtual assistants
- Sentiment analysis and customer feedback
- Customer support automation
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7. AI applied to commercial management
- Sales forecasting and demand forecasting
- Trading pipeline analysis
- Prioritization of opportunities and customers
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8. Efficient business operations using AI
- Inventory management with AI
- Demand prediction and inventory optimization
- Supply chain automation
- Smart storage and optimized logistics
- AI-powered pricing management
- Dynamic pricing based on demand and competition
- Optimal pricing algorithms
- Automation of operational processes
- Logic automation and order management
- Real-time process analysis
- AI applied to Enterprise Resource Planning (ERP)
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