AI for E-commerce Teams is a course in using AI for online stores, from searchable product descriptions, product images and ads to campaigns, customer chat, sales and review analysis, chatbots and automation. It suits online store owners, marketplace teams on Shopee, Lazada and TikTok Shop, content teams and page admins.
E-commerce and online-store businesses juggle many things at once in a highly competitive market: writing product details and titles so they get found, creating product images and ad media, running marketing and campaigns, answering customer chats and managing orders, analyzing sales and reviews, and caring for returning customers. These tasks are high in volume and must be done consistently, especially with many products and sales channels. Generative AI helps e-commerce teams work faster, create more content and images, and free up time to focus on increasing sales. This course is designed to help e-commerce teams use AI in
real work confidently and systematically, covering the whole process, from writing product details and SEO, creating product images and ads, marketing and campaigns, customer service and analyzing sales and reviews, setting up chatbots and store assistants, to automation with n8n, plus practices for product-data accuracy and protecting customer data under PDPA. All content is taught through workshops on real online-store tasks, finishing with a capstone project where learners set up an end-to-end AI toolkit for their own store. (2 days, 6 hours per day, 12 hours in total, Beginner to Intermediate level, no AI or programming background required.)
Course Details
A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop with a capstone project. Beginner to Intermediate level, no AI background required. Learners take home a store prompt library, a store assistant (Custom GPT/Gem), product-detail and ad-copy templates, and a data-accuracy and PDPA checklist.
Section 1: AI in E-commerce Work
Section 2: Prompts and Store Brand Tone
Section 3: Product Content and SEO
Section 4: Product Images and Ad Media
Section 5: Online Marketing and Advertising
Section 6: Customer Service and Store Chat
Section 7: Sales and Customer Review Analysis
Section 8: Chatbots and Store Assistants
Section 9: Store Automation with n8n
Section 10: Customer Data, Accuracy and PDPA
Section 11: Capstone Project and Real-world Adoption
No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770
Start by finding the keywords customers actually search for, such as product type, brand, model, size and use. Ask AI to draft titles that put the key terms near the start while still reading naturally, then write bullet points covering features, specifications and how to use the product. Check every detail against the real item and avoid keyword stuffing, which makes listings hard to read and can break platform rules.
Make the AI answer only from your shop's own information by gathering product details, ordering steps, delivery and return policies into a knowledge base. State in the prompt that if the answer is not there, it should say the question will be passed to an admin. Set a reply tone that matches your brand, and have a person review sensitive replies, such as complaints or warranty claims, before they reach the customer.
Collect reviews from every channel into one file and remove customers' personal details. Ask AI to group them by theme, such as product quality, delivery, packaging and service, and to show whether each theme is positive or negative and how often it appears. Have it quote real reviews for each point so you can check the summary, then use the results to improve products, descriptions or service. This course practises sales and review analysis with reporting.
It suits online store owners and e-commerce entrepreneurs, marketing and content teams, staff running shops on Shopee, Lazada or TikTok Shop, and customer service teams and page admins. No AI or programming knowledge is needed. You should be able to use a computer, smartphone and the internet, have sold through an online platform or social media, and understand your shop's own sales process.
You will be able to write searchable product titles and descriptions, create product images and ads with AI, run campaigns across ads, email and social media, use AI for shop chat and for sales and review analysis, build a shop chatbot in Custom GPT or Gems, and automate tasks such as order alerts and review requests with n8n. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
Yes. It can be run in-house for your team, with examples adapted to your own work, such as writing descriptions for products from your own store. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.
Articles are published in Thai.
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