Magento 2 (Adobe Commerce) AI Product Advice extension is an extra function for the Magento 2 e-commerce platform.
It permits the shop admins to allow AI-based product suggestions on their Magento 2 retailer.
Magento 2 AI product advice makes use of synthetic intelligence to recommend merchandise to the shoppers within the Adobe Commerce retailer.
The AI algorithm analyzes the merchandise seen by the client and offers product options utilizing the embedding approach.
It matches the merchandise’ names, SKUs, tremendous attributes, searchable attributes, and filterable attributes to recommend related merchandise within the Magento retailer.
You too can test our Magento 2 AI Picture Search Extension the place a buyer can seek for merchandise primarily based on pictures utilizing AI know-how.
For added performance, think about exploring the Magento 2 Picture Background Elimination extension to take away picture backgrounds.
Options
- The admin can set the variety of advised merchandise to show, starting from 1 to 10.
- Admin can set the space worth for outlining the accuracy of the options, with 1 as essentially the most correct and 10 because the least.
- Robotically generates product suggestions for purchasers.
- Matches merchandise primarily based on names, SKUs, tremendous attributes, searchable attributes and filterable attributes.
- Makes use of embedding Method to determine and suggest merchandise by means of AI.
- Totally integrates with Adobe Commerce for seamless operation.
Minimal System Requirement (API Setup)
The next minimal system necessities are wanted for this extension,
- RAM (4 GB)
- House (4 GB)
- Server key and cert information (for Flask API)
- Docker
- Two ports (5000 and 8000)
- API Key (Gemini,OpenAI)
Set up
The set up is kind of easy similar to the usual Magento 2 extensions.
#Obtain Module
Firstly, it is advisable log in to the Webkul Retailer, go to My Account>My Bought Merchandise part, confirm, after which obtain and extract the contents of this zip folder on the system.
#Add Folder
As soon as the module zip extracts, observe path src>app after which copy the app folder into the Magento 2 root listing on the server as proven under:
# Run Instructions
You must run the next instructions:
php bin/magento setup:improve
php bin/magento setup:di:compile
php bin/magento setup:static-content:deploy
php bin/magento indexer:reindex
php bin/magento cache:flush
# Further Instructions
You must run the next instructions to create the embeddings:
Create/replace present product picture embeddings by way of terminal.
php bin/magento generate:picture:embeddings
Create/replace chosen product picture embeddings by way of the terminal.
php bin/magento generate:picture:embeddings -p 1,2,3
Language Translation
For translating the module language, navigate by means of the app/code/Webkul/AIProductRecommendation/i18n and edit the en_US.csv file.
Thereafter, rename the CSV as “en_SA.csv” and translate all proper aspect content material after the comma within the Arabic language. After modifying the CSV, reserve it.
Now, add it to the trail app/code/Webkul/AIProductRecommendation/i18n the place the set up of Magento 2 is on the server.
The Magento 2 (Adobe Commerce) AI Product Advice will probably be translated into the Arabic Language. It helps each RTL and LTR languages.
The person can edit the CSV just like the picture under.
Preliminary Configuration Settings
After the profitable set up of the module, the admin will navigate to Shops > Configuration > AI Normal Configuration.
You too can entry the preliminary configuration by navigating the AI Configuration > Normal Configuration.
Normal Settings:
1. ChromaDB Endpoint: Enter your ChromaDB Endpoint.
Be aware: Right here, ChromaDB is used as a vector database.
2. LLM Server Endpoint: Enter your LLM Server Endpoint.
3. API Key: Admin must fill within the API Key.
Adobe Commerce: AI Product Advice Settings
1. Enabled: The admin can allow or disable the extension performance of their Magento 2 retailer by selecting Sure or No.
2. Distance: This setting lets the admin set the space worth.
Be aware: The worth should be higher than 0 and fewer than or equal to 10 (Represents suggestion accuracy the place 1 is extremely correct and 10 is the least).
Now, click on on the save Config to avoid wasting the configuration.
3. Present Merchandise: This setting lets the admin set the variety of merchandise(options) to be displayed on the entrance finish after matching the product data.
Beneath Picture Reveals Easy methods to Practice Information/Generate Embeddings
Storefront – Workflow AI Product Advice
After the profitable configuration of the module, on the product web page, it would generate the AI Beneficial part for merchandise advised by AI.
Adjusting the distance worth to 1 and the present merchandise worth to five within the backend will extra precisely show 5 merchandise advisable by AI.
allow us to take one other product’s instance: altering the distance worth to 4 and the present merchandise worth to 7 within the backend.
Equally, the admin can select the variety of merchandise to be advisable by the AI and the accuracy of the suggestion as per his alternative.
Help
That’s all for the Magento 2 AI Product Advice extension.
If you happen to nonetheless have any points be happy so as to add a ticket and tell us your views to make the module higher at webkul.uvdesk.com.
Present Product Model – 4.0.0
Supported Framework Model – Magento 2.0.x, 2.1.x, 2.2.x,2.3.x, 2.4.x
Magento 2 (Adobe Commerce) AI Product Advice extension is an extra function for the Magento 2 e-commerce platform.
It permits the shop admins to allow AI-based product suggestions on their Magento 2 retailer.
Magento 2 AI product advice makes use of synthetic intelligence to recommend merchandise to the shoppers within the Adobe Commerce retailer.
The AI algorithm analyzes the merchandise seen by the client and offers product options utilizing the embedding approach.
It matches the merchandise’ names, SKUs, tremendous attributes, searchable attributes, and filterable attributes to recommend related merchandise within the Magento retailer.
You too can test our Magento 2 AI Picture Search Extension the place a buyer can seek for merchandise primarily based on pictures utilizing AI know-how.
For added performance, think about exploring the Magento 2 Picture Background Elimination extension to take away picture backgrounds.
Options
- The admin can set the variety of advised merchandise to show, starting from 1 to 10.
- Admin can set the space worth for outlining the accuracy of the options, with 1 as essentially the most correct and 10 because the least.
- Robotically generates product suggestions for purchasers.
- Matches merchandise primarily based on names, SKUs, tremendous attributes, searchable attributes and filterable attributes.
- Makes use of embedding Method to determine and suggest merchandise by means of AI.
- Totally integrates with Adobe Commerce for seamless operation.
Minimal System Requirement (API Setup)
The next minimal system necessities are wanted for this extension,
- RAM (4 GB)
- House (4 GB)
- Server key and cert information (for Flask API)
- Docker
- Two ports (5000 and 8000)
- API Key (Gemini,OpenAI)
Set up
The set up is kind of easy similar to the usual Magento 2 extensions.
#Obtain Module
Firstly, it is advisable log in to the Webkul Retailer, go to My Account>My Bought Merchandise part, confirm, after which obtain and extract the contents of this zip folder on the system.
#Add Folder
As soon as the module zip extracts, observe path src>app after which copy the app folder into the Magento 2 root listing on the server as proven under:
# Run Instructions
You must run the next instructions:
php bin/magento setup:improve
php bin/magento setup:di:compile
php bin/magento setup:static-content:deploy
php bin/magento indexer:reindex
php bin/magento cache:flush
# Further Instructions
You must run the next instructions to create the embeddings:
Create/replace present product picture embeddings by way of terminal.
php bin/magento generate:picture:embeddings
Create/replace chosen product picture embeddings by way of the terminal.
php bin/magento generate:picture:embeddings -p 1,2,3
Language Translation
For translating the module language, navigate by means of the app/code/Webkul/AIProductRecommendation/i18n and edit the en_US.csv file.
Thereafter, rename the CSV as “en_SA.csv” and translate all proper aspect content material after the comma within the Arabic language. After modifying the CSV, reserve it.
Now, add it to the trail app/code/Webkul/AIProductRecommendation/i18n the place the set up of Magento 2 is on the server.
The Magento 2 (Adobe Commerce) AI Product Advice will probably be translated into the Arabic Language. It helps each RTL and LTR languages.
The person can edit the CSV just like the picture under.
Preliminary Configuration Settings
After the profitable set up of the module, the admin will navigate to Shops > Configuration > AI Normal Configuration.
You too can entry the preliminary configuration by navigating the AI Configuration > Normal Configuration.
Normal Settings:
1. ChromaDB Endpoint: Enter your ChromaDB Endpoint.
Be aware: Right here, ChromaDB is used as a vector database.
2. LLM Server Endpoint: Enter your LLM Server Endpoint.
3. API Key: Admin must fill within the API Key.
Adobe Commerce: AI Product Advice Settings
1. Enabled: The admin can allow or disable the extension performance of their Magento 2 retailer by selecting Sure or No.
2. Distance: This setting lets the admin set the space worth.
Be aware: The worth should be higher than 0 and fewer than or equal to 10 (Represents suggestion accuracy the place 1 is extremely correct and 10 is the least).
Now, click on on the save Config to avoid wasting the configuration.
3. Present Merchandise: This setting lets the admin set the variety of merchandise(options) to be displayed on the entrance finish after matching the product data.
Beneath Picture Reveals Easy methods to Practice Information/Generate Embeddings
Storefront – Workflow AI Product Advice
After the profitable configuration of the module, on the product web page, it would generate the AI Beneficial part for merchandise advised by AI.
Adjusting the distance worth to 1 and the present merchandise worth to five within the backend will extra precisely show 5 merchandise advisable by AI.
allow us to take one other product’s instance: altering the distance worth to 4 and the present merchandise worth to 7 within the backend.
Equally, the admin can select the variety of merchandise to be advisable by the AI and the accuracy of the suggestion as per his alternative.
Help
That’s all for the Magento 2 AI Product Advice extension.
If you happen to nonetheless have any points be happy so as to add a ticket and tell us your views to make the module higher at webkul.uvdesk.com.
Present Product Model – 4.0.0
Supported Framework Model – Magento 2.0.x, 2.1.x, 2.2.x,2.3.x, 2.4.x
