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Yelish

Yelish


Added explanation with images of the new feature

Version 1.3.0

  • Performance improvements for products with combinations
  • Added new feature: create manual recommendations for products.
  • If your shop is very new or you want to create a personalized recommendation for a specific product, you can create a manual recommendation by choosing the products through a fast graphical interface.
  • Create, modify or delete manual recommendations.
  • Keep the manual recommendation for as long as you want, when you delete it, the algorithm will create a new automatic recommendation for the product.

How does it work?
1. In the "Manage frequently bought together" section, search for a product by name or reference and click the 'Create manual recommendation' button (Image 1)
2. The interface will be shown (image 2)

v130_1_2.thumb.png.8a8904207101297f576717883fe3e103.png

3. Click on select product. You will be shown all the products that meet the configuration conditions of the module. You can select it immediately or use the built-in instant search engine for it. At any time you can check the product in your store or in your back office (image 3 & 4)

v130_3_4.thumb.png.4419ecc8bab385fb470a3af578fd2c86.png

4. Of course, you can modify your manual recommendation. Also if you delete it at any time, the algorithm will automatically try to find a recommendation for your product (image 5 & 6)
5. All changes are made via AJAX in a visual and fast way. Enjoy!

v130_5_6.thumb.png.da998e695a2dad25bc37b99da53591d5.png

Yelish

Yelish

Version 1.3.0

Performance improvements for products with combinations

Added new feature: create manual recommendations for products.

If your shop is very new or you want to create a personalized recommendation for a specific product, you can create a manual recommendation by choosing the products through a fast graphical interface.

Create, modify or delete manual recommendations.

Keep the manual recommendation for as long as you want, when you delete it, the algorithm will create a new automatic recommendation for the product.

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