Method and apparatus for providing recommendations based on return data

1. An apparatus for recommending products in association with product returns, the apparatus comprising processing circuitry configured to:

receive a return request from a customer associated with a returned product from a given merchant;

receive search results based on a search for relevant products to the returned product;

filter the search results based on a likelihood of return rating of at least some of the relevant products, the likelihood of return rating being determined based on a return model generated based on associations made with respect to return volume, return frequency and repurchase frequency associated with the given merchant, the customer and the returned product;

modify ordering of the search results and apply exclusions to the search results;

display a plurality of recommended products based on the modified ordering of the search results and the application of exclusions to the search results;

receive feedback regarding performance of the return model and merchant applied tags associating products with exclusion and ordering adjustment instructions; and

update the return model based on the feedback received and the merchant applied tags,

wherein modifying ordering of the search results and applying exclusions to the search results comprises preventing display of at least one selected product from the search results responsive to one of the merchant applied tags identifying the at least one selected product for exclusion from display and adjusting an ordering of at least another selected product from the search results responsive to another of the merchant applied tags identifying the at least another selected product with a positive or negative association.

2. The apparatus of claim 1 , wherein the processing circuitry is further configured to:

receive return data relating to product returns for a plurality of products;

determine a return frequency dataset including likelihood of return ratings for the products based on comparing sales volume to return volume for each of the products.

3. The apparatus of claim 1 , wherein filtering the search results comprises preventing display of a selected product from the search results responsive to the selected product having a corresponding likelihood of return rating below a threshold value.

4. The apparatus of claim 1 , wherein the returned product is provided by a vendor, and wherein the related products are limited only to products offered by the vendor.

5. The apparatus of claim 1 , wherein displaying the plurality of recommended products comprises displaying a modified price for each of the recommended products, the modified price being a regular price of each respective one of the recommended products minus a return value of the returned product.

6. The apparatus of claim 5 , wherein displaying the plurality of recommended products comprises displaying each product with an indication of the regular price, and an indication of the modified price proximate to each other.

7. The apparatus of claim 1 ,

wherein displaying the plurality of recommended products comprises displaying the plurality of recommended products on each of a plurality of separate points along a product return process flow path.

8. The apparatus of claim 7 , wherein a different group of products is displayed at each of the separate points.

9. The apparatus of claim 1 , wherein filtering the search results further comprises removing any product previously returned by the customer from the search results.

10. The apparatus of claim 1 , wherein updating the return model comprises updating the return model in real time.

11. A method of recommending products in association with product returns, the method comprising:

receiving a return request from a customer associated with a returned product from a given merchant;

receiving search results based on a search for relevant products to the returned product;

filtering the search results based on a likelihood of return rating of at least some of the relevant products, the likelihood of return rating being determined based on a return model generated based on associations made with respect to return volume, return frequency and repurchase frequency associated with the given merchant, the customer and the returned product;

modifying ordering of the search results and applying exclusions to the search results;

displaying a plurality of recommended products based on the modified ordering of the search results and the application of exclusions to the search results;

receiving feedback regarding performance of the return model and merchant applied tags associating products with exclusion and ordering adjustment instructions; and

updating the return model based on the feedback received and the merchant applied tags,

wherein displaying the plurality of recommended products comprises displaying the plurality of recommended products on each of a plurality of separate points along a product return process flow path, and

wherein modifying ordering of the search results and applying exclusions to the search results comprises preventing display of at least one selected product from the search results responsive to one of the merchant applied tags identifying the at least one selected product for exclusion from display and adjusting an ordering of at least another selected product from the search results responsive to another of the merchant applied tags identifying the at least another selected product with a positive or negative association.

12. The method of claim 11 , further comprising:

receiving return data relating to product returns for a plurality of products;

determining a return frequency dataset including likelihood of return ratings for the products based on comparing sales volume to return volume for each of the products.

13. The method of claim 11 , wherein filtering the search results comprises preventing display of a selected product from the search results responsive to the selected product having a corresponding likelihood of return rating below a threshold value.

14. The method of claim 11 , wherein the returned product is provided by a vendor, and wherein the related products are limited only to products offered by the vendor.

15. The method of claim 11 , wherein displaying the plurality of recommended products comprises displaying a modified price for each of the recommended products, the modified price being a regular price of each respective one of the recommended products minus a return value of the returned product.

16. The method of claim 15 , wherein displaying the plurality of recommended products comprises displaying each product with an indication of the regular price, and an indication of the modified price proximate to each other.

17. The method of claim 11 , wherein a different group of products is displayed at each of the separate points.

18. The method of claim 11 , wherein filtering the search results further comprises removing any product previously returned by the customer from the search results.

19. The method of claim 11 , wherein updating the return model comprises updating the return model in real time.