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Inquera’s data refinement process aggregates product data from different languages, sources, applications, and formats; cleans and standardizes the data; classifies it into categories according to the taxonomy (existing or new); extracts product attributes; enriches the data; and identifies duplicate or similar products, to create consolidated, tabulated product data. The refinement process ends with the generation of new standard descriptions in any desired language to be re-loaded to the ERP.
The refinement process is done automatically by Elevate suite that based on Artificial Intelligence (machine-learning) technology, and hundreds man-years of experience that codified into the system.

   
   
One product  
 
Multiple concepts  
 
Multiple descriptions  
 
Multiple stock items  
   

 

 

 

 

 

 

A single version of the truth

Category Type Wheels Material Adjustable
Height
Seat
Height
Back
Height
Color Coating Padding
Furniture Chair No Wood No 45cm 100cm Oak Lacquer No
 
One product  
 
One description  
 
One stock item  
   

 

 

 

 

 

From dirty data to refined data

Dirty Data Classify
nto the right
category
Transform
into a table of
technical
characteristics
Consolidate
duplicate
products
Store
as “a single version
of the truth”
       
                Find
by technical
characteristics

 

 

Product catalog optimizer software suite

FACTORY CHECK POST DEPOT
Refine,
consolidate
and optimize
your data
Protect your
optimized
product data
online
Store, search
and compare
your optimized
product data in
an online catalog