AI and E-commerce
Course Description
The course explores artificial intelligence applied to retail and e-commerce, providing an overview of strategies, techniques, and tools to enhance operations and improve customer experience.
What You Will Learn
In this course, you will learn to use predictive analytics tools, chatbots, and recommendation algorithms to improve the customer experience, optimize pricing, manage inventory efficiently, and identify emerging trends. You’ll explore cutting-edge technologies, study real-world cases, and develop practical skills.
Course Content
The AI in Retail and E-commerce course is structured to offer comprehensive training and practical applications in various key areas of the sector.
- Introduction to AI in Retail and E-commerce: An analysis of fundamental concepts of artificial intelligence, such as machine learning and deep learning, and exploration of the opportunities offered by AI in the retail and e-commerce context.
- Predictive Analytics and Data Mining: Delve into predictive analysis techniques to discern consumer trends, forecast product demand, and optimize pricing.
- Personalization and Recommendations: Employ recommendation algorithms to generate personalized offers, enhance the customer journey, and increase conversions.
- Chatbots and Virtual Assistants: Create and manage chatbots capable of automating customer service, answering frequently asked questions, and guiding users through the purchasing process.
- Inventory and Logistics Management: Use AI-based solutions to optimize inventory management, accurately forecast supplies, and improve supply chain efficiency.
- Computer Vision and Image Recognition: Integrate computer vision technologies into business processes, such as product recognition, shelf analysis, and the creation of immersive shopping experiences.
- Ethics and Security in AI: Discuss ethical principles, legal implications, and security measures to consider for the responsible use of artificial intelligence in retail and e-commerce.
- Real Case Studies and Implementation: A detailed analysis of successes and challenges related to implementing AI-based solutions in retail and e-commerce, through case studies and practical projects.
Through a mix of theoretical lessons, workshops, case studies, and practical projects, this course will provide participants with in-depth knowledge and specific skills to leverage artificial intelligence and transform their business models in retail and e-commerce.
Who Should Attend
- Marketing Professionals: Individuals working in marketing who want to broaden their skills using AI to improve strategy and effectiveness.
- Entrepreneurs and Small Business Owners: Those running their businesses who wish to integrate AI into their marketing efforts to increase visibility and drive growth.
- Data Analysis Experts and Data Scientists: Professionals working with large data sets who want to deepen their understanding of AI and machine learning applications in marketing.
- Students and Recent Graduates: Those studying marketing, communication, or related fields who want to acquire additional skills in using artificial intelligence to boost their careers.
- Developers and Software Engineers: Individuals with technical skills who wish to expand their knowledge in the field of AI applied to marketing and contribute to developing innovative solutions.
Requirements
- Basic Knowledge of Marketing: A general understanding of marketing concepts, strategies, and practices is necessary to follow and apply lessons on artificial intelligence in this context.
- Computer and Online Navigation Skills: The ability to effectively use computers and the Internet and familiarity with digital platforms, social media, and data analysis tools to maximize the potential of AI in marketing.
This course includes:
- 20 hours of in-person instruction
- Downloadable resources
- Certificate of completion