Q1: What does the R&D fee include?
The R&D fee usually covers the customization and system setup required to make the AI mirror suitable for the customer’s brand, products, and recommendation logic.
It may include:
- Brand UI customization
- Product database setup
- Skin concern analysis logic
- Product recommendation rules
- Skincare protocol integration
- Language translation
- Software testing and system adjustment
- Basic user experience optimization
The R&D fee is not only for the hardware device. It is mainly used to build the customized software logic, brand content, and recommendation system.
Q2: If we launch new products every few months, do we need to pay again for software updates?
Normal content updates can usually be supported as software content updates.
For example:
- Adding new products
- Updating product descriptions
- Adjusting recommendation wording
- Replacing product images
- Modifying basic treatment steps
If the update only involves content changes, it can normally be handled as a regular software update and no upcost.
However, if the customer requires new functions, new skin analysis logic, a new user journey, a new algorithm structure, or major system development, it should be evaluated separately.
Q3: Can the AI mirror show only our products, or can it include our skincare protocols?
The AI mirror does not need to show only a simple product list.
It can also include the customer’s skincare protocols, treatment steps, and home-care recommendations.
For example, after skin analysis, the system can show:
- Skin concern overview
- Recommended product line
- Step-by-step skincare protocol
- In-store treatment suggestion
- Home-care routine
- Follow-up and repurchase reminder
This means the AI mirror can work not only as a product recommendation tool, but also as a branded skincare consultation system.
Q4: Can the system be translated into our local language?
Yes. The UI, skin analysis results, product recommendation pages, protocol content, and customer report can be translated into the customer’s required language.
For better accuracy, we recommend using the customer’s official product wording, brand tone, and existing skincare protocol documents.
This helps ensure that the AI mirror content remains consistent with the brand’s existing communication style.
Q5: Can the AI mirror save or send the customer’s skin analysis report?
Yes. The AI mirror can support report storage or email report sending, depending on the project configuration.
The report can include:
- Skin analysis result
- Main skin concerns
- Recommended products
- Recommended protocol
- Suggested follow-up period
- Comparison over time
For example, customers can compare their skin condition after 1 week, 1 month, or 3 months.
This function helps the brand build a stronger follow-up experience and supports future repurchase communication.
Q6: Is the AI mirror only a device, or is it a software system?
The AI mirror should not be understood only as a hardware device.
It is a combination of:
- Hardware mirror
- Skin analysis software
- Brand product database
- Recommendation logic
- Protocol guidance
- Customer report and follow-up system
For beauty and skincare brands, the real value is not only the mirror itself, but the customized skincare consultation system behind it.
Q7: Can the recommendation logic be customized according to our brand products?
Yes. The recommendation logic can be customized based on the customer’s product categories, skin concern classification, and treatment philosophy.
For example:
- Dryness → Hydrating line
- Dullness → Brightening line
- Fine lines → Anti-aging line
- Oiliness → Purifying line
- Sensitive skin → Soothing line
The logic can be designed together with the customer, so the final recommendation matches the brand’s real product structure and skincare concept.
Q8: Can the AI mirror be used in stores?
Yes. The AI mirror is especially suitable for in-store consultation.
It can help beauty advisors:
- Start a professional conversation with customers
- Show visible skin analysis results
- Recommend suitable products
- Explain skincare protocols
- Collect customer follow-up information
- Support product bundle sales
In retail stores, the AI mirror can work as a digital consultation tool to improve customer engagement and sales conversion.
Q9: Can the AI mirror be used for at-home skincare?
Yes. The AI mirror can also be designed for at-home skincare management.
In this scenario, it can support:
- Regular skin scan
- Product usage reminder
- Home-care protocol guidance
- Weekly or monthly progress report
- Repurchase recommendation
- Email report sharing
This helps the brand extend the customer relationship from the store to the home.
Q10: What information do we need from the customer before customization?
Before customization, we usually need the following information:
- Brand logo
- Brand color and UI preference
- Product list
- Product images
- Product descriptions
- Product categories
- Skin concern classification
- Recommendation rules
- Skincare protocols
- Required language
- Target usage scenario: in-store, at-home, or both
The more complete the information is, the more accurate the final AI mirror recommendation system will be.
Q11: What is the main value of the AI mirror for a skincare brand?
The main value of the AI mirror is to connect skin analysis, product recommendation, skincare protocol, and customer follow-up into one system.
It can help the brand:
- Improve the customer consultation experience
- Make product recommendations more visual
- Support beauty advisors in stores
- Increase product bundle sales
- Build customer follow-up and repurchase logic
- Strengthen the brand’s technology image
For skincare brands, the AI mirror is not only a device. It is a digital bridge between product, service, and customer relationship.
Q12: How should we describe the AI mirror in one sentence?
The AI mirror is a customized AI skincare consultation tool that combines skin analysis, product recommendation, brand protocols, and customer follow-up.
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