AI in E-Commerce
Learn how AI will benefit your online business
About the Course
This innovative online course focuses on the application of AI in the dynamic world of electronic commerce. Created by industry experts and AI practitioners, this comprehensive program provides participants with the knowledge and skills to leverage AI to its full potential in the ecommerce industry.
The course includes an in-depth analysis of AI case studies in ecommerce, enabling participants to gain practical insights from real-world examples. By exploring the benefits of AI in ecommerce, participants will understand how AI can revolutionize customer experiences, optimize sales and marketing strategies, automate inventory management, and personalize product recommendations.
Moreover, the course offers a glimpse into the future of AI in ecommerce, equipping participants with a forward-thinking mindset to stay ahead in the rapidly evolving digital landscape.
Throughout the course, participants will explore a wide range of AI use cases in ecommerce, providing them with a comprehensive understanding of the various applications and opportunities available in this field.
"Mastering AI for Ecommerce Success" is the ultimate resource for individuals who want to understand and utilize AI's transformative potential in the ecommerce industry. Join the course today to gain the knowledge, skills, and practical insights to unlock the full power of AI in ecommerce
Learning Time ~2 hours
Course Curriculum
Product Data
Create product content ● Customized product content for different sales channels ● Attribute enrichment ● Image generation and transformation ● Product matching and deduplication ● Control Quality ● Localization ● Automating merchandising
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Creating product content: Using AI to generate SEO-optimized product descriptions and content.
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Customized product content for different sales channels: Adjust the existing product content with each channel's word counts, word choice preferences, or other content specifications, automatically and at scale.
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Attribute enrichment: Automatically add product attributes by extracting them from images and text.
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Image generation and transformation: Use generative AI to create a multitude of high-fidelity product images in different scenes while maintaining brand preservation for retail products. Automate image generation for categories, bundles, and collections.
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Brand content generation: banners, blogs, brand and landing pages, and customer stories.
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Product matching and deduplication: AI-accelerated human annotation can help remove product duplicates, merge product variants, fix inconsistencies on product detail pages, and correct errors.
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Localization: Preparing content for international markets - automatic translation, adapting terminology, descriptions, measurements, and images for local cultural context.
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Automating merchandising: Assigning products to the correct category, establishing product associations, establishing search ranking, and discovering brand-new product connections.
Marketing
Brand content generation ● Customer personas ● Customer personas: ● Hyper-personalized Ads ● Understanding intent ● Keywords harvesting
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Customer personas: AI tools use collected psychographic data, demographic and behavior metrics, and qualitative psychological factors to create more accurate customer personas.
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Hyper-personalized Ads: AI-created advertising that contextualizes the experience to create images and videos that show products in locations and situations requested by a potential customer in real-time.
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Understanding intent: Use AI to figure out where the shopper is in their buying journey and serve up promotions or ads based on that analysis.
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Keywords harvesting: Automatic campaigns can be set to mine keywords, transfer keywords between campaigns, and boost bids depending on peak and off-peak hours.
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Brand content generation: banners, blogs, brand & landing pages, and customer stories.
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Keywords harvesting: Automatic campaigns can be set to mine keywords, transfer keywords between campaigns, and boost bids depending on peak and off-peak hours.
Prices
Optimizing inventory management ● Generating demand models ● Churn prediction ● Customer Segmentation ● Competitor monitoring
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Optimizing inventory management: AI solutions will constantly rebalance demand and supply by automatically analyzing all available data and constraints. Predicting estimated time to arrival and defining safety stock levels.
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Generating demand models: AI makes sales and demand predictions using real-time data, including demographics, weather, the performance of similar items, and online reviews or social media. An AI bot can calculate what to buy, how much, at what price, and when to mark items for sale, even for products with no historical sales data.
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Churn prediction: Monitor and predict churn by analyzing customer sentiment and buying patterns.
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Customer Segmentation: AI-driven systems can analyze customer data to identify patterns, carry out behavioral segmentation, optimize engagement strategies, and achieve specific goals by learning and adapting, resulting in highly precise and effective customer targeting.
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Competitor monitoring: Implement intelligent tools to monitor competitors and generate alarms & and recommendations.
Enhancing Buying Experience
Increasing Search Relevance ● Voice Search ● Visual Search ● Virtual shopping assistant ● Dynamic pricing ● AI-Powered Virtual fitting rooms ● Intelligent agent negotiation systems ● AI-based fraud detection and prevention ● Virtual Photography and Augmented Reality for selling complex products
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Increasing Search Relevance: AI-powered search engines use natural language processing (NLP) to process and understand the query. The search engine then uses the meaning to present the best-ranking search results.
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Voice Search: Use AI voice-to-text technology to enable voice search using natural language, optimizing for long-tail keywords and providing clear and concise answers to common questions.
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Visual Search: using artificial intelligence to enable shoppers to search online based on images instead of text or keywords.
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Virtual shopping assistant: Chat GPT-powered chatbots can assist customers with complex queries, suggest products based on their preferences, and even provide customized recommendations.
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Dynamic pricing: Using AI also allows you to personalize pricing by adjusting prices and offers based on the current users on your website and how they behave. You can change your prices based on global supply and demand, for example, increasing your prices when your competitors’ stocks are low.
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AI Powered Virtual fitting rooms: Deep learning-based system for transferring clothes images from the model to the client in an online simulation.
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Intelligent agent negotiation systems: New intelligent agent negotiation systems will match buyers and sellers, facilitate transactions, and provide institutional infrastructure.
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AI-based fraud detection and prevention: By analyzing millions of online global transactions, AI-based machine learning can spot irregular and suspicious behavior and transactions.
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Virtual Photography and Augmented Reality: Use these new tools to implement product configurators and CPQ (https://www.linkedin.com/company/threekit/)
Post Sale Support
AI chatbots for Customer support ● Optimize order fulfillment ● Fake review filtering
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AI chatbot for Customer support: Using interactive, AI-powered chatbots to help customers without having to interact with a live person or scroll through endless FAQ pages.
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Optimize order fulfillment: Integrate AI with a company’s order management system to use all the real-time information to make critical decisions about order fulfillment —including sourcing and staffing. Match customers with ideal shipping providers and carriers using advanced algorithms.
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Fake review filtering: Self-learning artificial intelligence is becoming very good at identifying all sorts of fake reviews. It can analyze text patterns, writing styles, and formatting to immediately mark those that seem suspicious.
Who is this training for?
Mastering AI in Ecommerce" is specifically designed for professionals who are tasked with improving business results in the ecommerce industry. Whether you are an entrepreneur, a marketing professional, working for an online business, a data analyst, or an ecommerce enthusiast, this course is tailored to meet your needs. By mastering AI in ecommerce, you will gain a competitive edge and drive significant business growth. Join this course to enhance your skill set, stay ahead in the digital landscape, and make a tangible impact on your organization's success in the ever-evolving world of online retail.
About
Michael Vax
He is an Ecommerce industry veteran and this training was created by him. For many years, Michael has led the development and implementations for global Ecommerce platforms such as SAP Hybris, Spryker Systems, and Elastic Path.That experience gave him a unique insider view of how Ecommerce has evolved from a niche industry for online retailers to a cornerstone of every modern business.Courses are based on our extensive library of ecommerce knowledge and proven best practices from different industries and businesses.20+ years of leadership experience across the Digital Commerce landscape. An executive who led the development of enterprise Ecommerce platforms at Hybris, Spryker, and Elasticpath, and helped many customers innovate and move their business online.