Use case · E-commerce
Your online store with a team that reviews, answers and prepares
Sales reports ready at the start of the day, low stock caught in time, customers served with your policy and better product pages to review.
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The challenge
- Reviewing orders, stock and sales every day takes hours.
- Customers ask the same things by email and on the site.
- Product pages end up incomplete or outdated.
A day with your AI team
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08:00
The Sales Analyst leaves yesterday's report in CSV.
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09:00
The E-commerce Assistant reviews this week's low stock.
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All day
The website assistant recommends products and answers shipping and exchange questions.
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16:00
The Catalog Specialist leaves product page drafts to review.
The recommended team
E-commerce Assistant
Supervise orders, products, stock, and sales in your online store.
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Sales Analyst
Turn sales data into clear reports, trends, and recommendations for better decisions.
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Catalog and Content Specialist
Prepare product pages and sales content consistent with your brand and real product data.
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Customer Support Specialist
Supports external customers with authorized knowledge and least-privilege internal collaboration.
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After-sales and Returns Specialist
Support customers after purchase and coordinate exchanges, complaints, and returns with human involvement.
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What you get
- Sales information ready at the start of the day.
- Frequent questions answered with your policy.
- Your team decides what gets published and what changes.
What it connects to
Tiendanube
Magento, Adobe Commerce and Mage-OS
Website assistant
Product feeds
See the status of each integration →
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