US 12,277,540 B2
Artificial intelligence model for taxability category mapping
David Deputy, Wayne, PA (US); and P. S. Aravind, Kennett Square, PA (US)
Assigned to VERTEX, INC., King Of Prussia, PA (US)
Filed by Vertex, Inc., King of Prussia, PA (US)
Filed on May 2, 2022, as Appl. No. 17/661,722.
Prior Publication US 2023/0351359 A1, Nov. 2, 2023
Int. Cl. G06N 3/08 (2023.01); G06F 18/243 (2023.01); G06N 3/048 (2023.01); G06Q 20/20 (2012.01); G06N 3/084 (2023.01)
CPC G06Q 20/207 (2013.01) [G06F 18/24317 (2023.01); G06N 3/048 (2023.01); G06N 3/084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computing system for mapping products to taxability categories, comprising:
a computing device including one or more processors configured to execute instructions using portions of associated memory to implement, in a run-time inference phase:
an artificial intelligence model configured to receive as run-time input product text including a product name and product description from a product catalog associated with a product, and output a run-time output including a predicted tax category for the product;
a taxability category mapping engine configured to link a taxability driver to the product; and
a taxability category driver record association engine configured to create a taxability category mapping drivers record including the taxability driver linked to the product, wherein
the product catalog includes a product code and taxpayer data related to the product,
the taxability driver is linked to the product based on the product code and the taxpayer data,
the predicted tax category output from the artificial intelligence model is displayed in a graphical user interface, and
the predicted tax category and the taxability category mapping drivers record are stored in a product taxability record.