AI for E-Commerce: No-Code Tools for Sales & Marketing

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This course is designed for marketers, e-commerce store owners, business analysts, product managers, and entrepreneurs who want to put AI to work—without writing any code. Over two hands-on modules, you'll learn to use popular tools like ChatGPT, Gemini, Shopify Sidekick, Landbot, Tidio, Akkio, and Canva AI to run a smarter online store. In Module 1, you'll generate ready-to-publish product listings, set up smart product recommendations, build a customer-service chatbot, and mine customer reviews for insight. In Module 2, you'll segment customers, create multi-channel marketing campaigns, forecast demand for better inventory planning, and use AI to spot fraud and shape pricing strategy. Every lesson is 100% practical, built around real e-commerce tasks you can complete on a demo store using free tiers and trials. No programming, data science, or prior AI experience is required—just a basic understanding of how online stores work. By the end, you won't just understand what AI can do for e-commerce; you'll have real, hands-on experience implementing it with tools you can keep using in your own business. Whether you run a small side-hustle store or manage marketing for a fast-growing brand, you'll walk away able to save hours of work, create better content, and make sharper, data-informed decisions—all powered by accessible, no-code AI you already have access to. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

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