Releva has completed an $870,000 financial round led by New Vision Fund 3 with participation by HR Capital AD, Verto Invest and the investment arm of private investors.
Releva завърши финансов рунд от $870 000, воден от Фонд Ню Вижън 3 с участието на Ейч Ар Капитал АД, Верто Инвест и подкрепата на частни инвеститори.
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Products

Why do you need the product catalog?

Storing detailed information about every product gives Releva’s users the power to recommend, re-rank, boost and filter products based on criteria such as the product’s brand, color, availability or popularity. This contributes to the user’s experience on your website because our system will show them relevant suggestions according to their own search and click history.

Some common use cases for this functionality include promotion of:

  • stocked products that we want to get rid of, 
  • products that are close to their expiration date,
  • popular products, that relate to each customer’s search in color, size, etc.,
  • products that are popular but often returned after the purchase,
  • products that are discounted.

This helps our smart recommenders to learn not only the interactions between customers and products but also infer what products go together. In that way, they will be able to recommend products that are similar to the ones that the customer already saw or bought, or products that are frequently purchased together.

Main page

On the Products page, you can see products on your eCommerce site and the information we store for them. On the main page, you can see all the products. You can also search and filter products by ID, name, description, date of the last update, and locale.

In our demo shop, we have 25 products. When you click on a product, you are redirected to its custom page, where a bigger picture and detailed information about it are displayed. 

The Custom field value is an object that reflects the metadata of the products you have on your Online store. This data allows for more detailed segmentation of customers and it allows you to influence the product suggestions in each recommender according to product similarities or customer behavior.

In our case, in the custom field we have information about the different variations of the product, depending on its size (XS, S, M, L, XL), and the corresponding product IDs, as well as tags of the products (“Bags”), and the categories it falls in (“Bags”). Other product features that can be included here are brand, color and season.

You can read more about the custom object in our Integration guide. 

With the custom field, you can do a manual boosting or filtering on products features. For example, if you have defined the key “Brand” in your product’s custom object, you can then boost particular brands in your recommenders products or boost the ones each customer prefers.
You can read more details about filtering and boosting in Releva’s recommenders here.

Product interactions

Above the blocks with product information, you can see tabs about what interactions (adding to carts, views, and purchases) the customers had with the product in the last 1 and 3 months and what other products are recommended with the one you’re looking at:

Product-related recommenders

In the Recommenders tab, you can see how the recommenders associated with this product look from the customers’ side. 

These recommenders are: 

  • People who bought this also bought,
  • People who viewed this also bought, 
  • People who viewed this also viewed.

As an example, here is how the “People who bought this also boughtrecommendations look for the Hudderton Backpack from our demo store:

Previous Audiences
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