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Conclound applications. Retail catalougues, web shopping and collectors catalogues.
Collectors catalogues The way Concloud may assist is simple: the unique element that catalogue contains may be simply retrieved by passing image.
How does it assist customer? ,[object Object],[object Object],[object Object]
Simplify article browsing. When customer don't have any information about good exept visual presentation of it, one can use content retrival to get all goods available visualy similar to his presentation. E. g. One wants to buy lighter looks alike the one  on the picture can just browse using this picture:
Simplify article browsing. And Concloud let customer get certain information about the lighter:
Browsing for articles, customer are not certain which to buy In many cases customer is not assured what model or colour of good is more suitable to his desires. Suppose one who wants to order wheel plates for his car. He simly passes this sketch to system:
Browsing for articles, customer are not certain which to buy And finaly customer have asortiment of plates sorted out by Concloud:
Enlarging search results of articles Suppose  customer, that retrieves some set of goods using textual information about them. What if the result set will be shortened due to textual search inflexibility? He will simple won't learn about possible good he would buy insted:
Finaly Last month developer of Concloud were looking for a green armchair to order in web shop. If you ask internet search for «green armchair» you will be offered many things. Except green armchair.

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Concloud applications

  • 1. Conclound applications. Retail catalougues, web shopping and collectors catalogues.
  • 2. Collectors catalogues The way Concloud may assist is simple: the unique element that catalogue contains may be simply retrieved by passing image.
  • 3.
  • 4. Simplify article browsing. When customer don't have any information about good exept visual presentation of it, one can use content retrival to get all goods available visualy similar to his presentation. E. g. One wants to buy lighter looks alike the one on the picture can just browse using this picture:
  • 5. Simplify article browsing. And Concloud let customer get certain information about the lighter:
  • 6. Browsing for articles, customer are not certain which to buy In many cases customer is not assured what model or colour of good is more suitable to his desires. Suppose one who wants to order wheel plates for his car. He simly passes this sketch to system:
  • 7. Browsing for articles, customer are not certain which to buy And finaly customer have asortiment of plates sorted out by Concloud:
  • 8. Enlarging search results of articles Suppose customer, that retrieves some set of goods using textual information about them. What if the result set will be shortened due to textual search inflexibility? He will simple won't learn about possible good he would buy insted:
  • 9. Finaly Last month developer of Concloud were looking for a green armchair to order in web shop. If you ask internet search for «green armchair» you will be offered many things. Except green armchair.