Artificial Intelligence is redefining the e-commerce landscape by enabling smarter pricing strategies, accurate demand forecasting, and real-time market analysis. In highly competitive online markets, businesses that leverage AI gain a clear edge—offering personalized prices, predicting customer behavior, and responding quickly to market shifts.

This course provides participants with a deep understanding of how AI can optimize pricing and market strategy in the digital commerce environment. From dynamic pricing engines and competitor tracking to customer segmentation and behavioral analytics, participants will explore practical tools and techniques to transform data into profit. Through case studies, tool demos, and strategy-building sessions, learners will acquire the skills to drive growth and stay competitive in the ever-evolving world of online retail.

By the end of this course, participants will be able to:

Understand the role of AI in shaping modern e-commerce strategy.
Apply machine learning algorithms for dynamic pricing and inventory control.
Analyze customer data to segment markets and personalize pricing offers.
Use AI tools for competitor monitoring and real-time price adjustment.
Interpret market trends using predictive analytics and data visualization.
Build and implement AI-driven pricing models that align with business goals.
Address data governance, fairness, and ethical considerations in pricing automation.

This course is ideal for:

E-commerce managers and digital marketing professionals.
Pricing analysts and revenue optimization specialists.
Product managers and business development teams.
Data scientists and AI engineers working in retail or tech.
Retail entrepreneurs and online store owners.
Anyone seeking to modernize their e-commerce operations through AI.

This course combines hands-on sessions with expert-led instruction, business case reviews, and guided tool exploration. Participants will apply AI concepts to real e-commerce scenarios, design pricing strategies using sample datasets, and develop their own dynamic pricing workflows through collaborative exercises.

Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10

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Course Content

Section 1: The Role of AI in E-Commerce Strategy

Overview of AI technologies transforming online retail.
Key benefits: automation, personalization, real-time responsiveness.
Types of AI used in e-commerce: machine learning, NLP, computer vision.
From static to dynamic: evolution of pricing strategies.
Case study: How AI boosted profit margins for a global online brand.

Section 2: Fundamentals of Dynamic Pricing

What is dynamic pricing and how does it work?
Key factors influencing real-time price changes.
Overview of algorithms used in pricing models.
Types of pricing strategies: demand-based, competitor-based, value-based.
Tools and platforms supporting AI-driven pricing (e.g., Prisync, Wiser, Sniffie).

Section 3: Data-Driven Market and Customer Analysis

Collecting and preparing data for AI analysis.
Identifying pricing patterns through historical data.
Customer segmentation using clustering and behavioral modeling.
Sentiment analysis and customer intent prediction.
Hands-on: Building customer personas with AI-powered insights.

Section 4: Competitive Intelligence and Real-Time Adjustments

Tracking competitor pricing strategies using scraping and monitoring tools.
Market demand forecasting and seasonal trend analysis.
Implementing automatic price adjustments in your e-commerce platform.
A/B testing and pricing experiments with AI support.
Real-time dashboards for monitoring performance and competition.

Section 5: Ethical Pricing, Risk, and Future Innovation

Transparency and fairness in algorithmic pricing.
Avoiding bias and customer backlash in dynamic systems.
Regulatory compliance and data privacy considerations.
Future trends: hyper-personalization, voice commerce, and autonomous agents.
Final project: Design a full AI-powered dynamic pricing strategy for a sample product line.

Certificate Details

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