AI Size Recommender for Magento 2
AI Size Recommender for Magento 2
AI Size Recommender by Magenest helps shoppers choose the right size in seconds by matching their body measurements with your product size charts. The extension gives customers an accurate size recommendation, explains the result, and suggests suitable alternatives when needed.
The whole experience is designed to stay simple on the product page. Shoppers only need to complete a 3-step flow without creating an account or leaving the buying journey.
AI Size Recommender supports multiple categories such as apparel, footwear, and underwear. It also syncs product data and size charts with the AI engine to keep recommendations updated in real time.
- Recommend accurate sizes based on shoppers’ actual measurements
- Reduce return/exchange rates and improve conversion rates on product page
- Simple module setup with no technical requirements
- No account creation or complicated steps for shoppers during shopping journey
Details
Why Choose AI Size Recommender?
3-Step Flow for Shoppers
Accurate Size Recommendations Based on Data
AI Size Recommender uses AI to analyze shoppers’ body measurements and compare them directly with the size chart of each product. Instead of relying on static size guides or guesswork, the extension recommends the most suitable size based on real product data and contexts.
The system works with an AI recommendation engine and the size chart data configured in Magento. This helps merchants reduce sizing errors, improve customer confidence, and optimize sales performance.
Minimal Experience, Maximum Conversion
The entire journey is optimized into just three steps:
- Enter measurements
- AI analyzes the data
- The user receives the result
The interface is designed as a popup displayed directly on the product page, allowing customers to complete the process without interrupting their shopping journey.
Data is sent to AI through an API and processed within a short time (2–5 seconds), with clear status indicators that help users understand the analysis progress.
Personalization Based on Body Shape and Fit Preference
AI Size Recommender does more than compare basic measurements. Shoppers can also provide additional details such as body shape, preferred fit, foot width, or cup size depending on the product type.
This allows the system to recommend not only the right size, but also the right fit. The extension can also provide alternative size options based on different fit scenarios, giving customers more confidence before purchase.
Flexible Measurement Fields by Product Type
Measurement fields are automatically adjusted based on the product type and its size chart. Each product category can have its own measurement keys, so shoppers only see the fields that are relevant to the item they are viewing.
For apparel, the form may ask for height, weight, chest, or waist. For footwear, it may focus on foot length or foot width. For underwear, it can include more specific measurement fields.
Recommendation Accuracy Level Notification
Each recommendation comes with a confidence level and an AI explanation. This helps shoppers understand why a specific size is suggested.
The result can be displayed as “High confidence” in green or “Medium confidence” in orange with clear visual indicators. If the AI cannot provide a reliable recommendation, the system can switch to fallback mode, allowing shoppers to view the full size chart or enter their measurements again.
Direct Integration with Product Detail Page
AI Size Recommender is integrated directly into the Product Detail Page through the “Recommend Size” button. The button only appears when the product meets the required conditions, such as being a configurable product and having a valid size attribute and size chart.
All settings can be managed in Magento Admin. Merchants can enable or disable the feature, configure API information, and manage data without making major changes to the existing store structure.
Real-Time Data Sync with AI
The extension supports data synchronization between products, size charts, and the AI engine through product feeds and webhooks. When product or size chart data is updated, the system sends a notification to the AI service.
This helps ensure that recommendations are always based on the latest catalog data.
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