Abstract: In one embodiment, a method includes accessing an image of a damaged object. The method further includes determining, using a plurality of image segmentation models, a plurality of objects in the image. The method further includes determining, using a plurality of visual inference models and the determined plurality of objects from the image segmentation models, a repair-relevant property vector for the damaged object in the image. The repair-relevant property vector includes a plurality of damaged object properties. The method further includes generating a repair report using the repair-relevant property vector and a price catalogue. The repair report includes an indication of the damaged object and a price associated with the repair or replacement of the damaged object. The method further includes providing the generated report for display on an electronic display device.

Abstract: In one embodiment, a method includes accessing an image of a damaged object. The method further includes determining, using a plurality of image segmentation models, a plurality of objects in the image. The method further includes determining, using a plurality of visual inference models and the determined plurality of objects from the image segmentation models, a repair-relevant property vector for the damaged object in the image. The repair-relevant property vector includes a plurality of damaged object properties. The method further includes generating a repair report using the repair-relevant property vector and a price catalogue. The repair report includes an indication of the damaged object and a price associated with the repair or replacement of the damaged object. The method further includes providing the generated report for display on an electronic display device.

Abstract: In one embodiment, a method includes receiving an invoice. The invoice includes invoice positions and each of the invoice positions includes a position text. The method also includes converting each word and number of the position text of each invoice position to a word embedding vector, summing the word embedding vectors for each invoice position to generate a word vector for each invoice position, and concatenating the word vector and a number vector of each invoice position to generate a position vector for each invoice position. The method further includes generating a first combined position vector for a first invoice position, generating a second combined position vector for a second invoice position, generating an invoice vector by summing the first and second combined position vectors, comparing the invoice vector to a fraud detection parameter, and determining whether the invoice is indicative of fraud based on the comparison.

Abstract: In one embodiment, a method includes receiving an invoice. The invoice includes invoice positions and each of the invoice positions includes a position text. The method also includes converting each word and number of the position text of each invoice position to a word embedding vector, summing the word embedding vectors for each invoice position to generate a word vector for each invoice position, and concatenating the word vector and a number vector of each invoice position to generate a position vector for each invoice position. The method further includes generating a first combined position vector for a first invoice position, generating a second combined position vector for a second invoice position, generating an invoice vector by summing the first and second combined position vectors, comparing the invoice vector to a fraud detection parameter, and determining whether the invoice is indicative of fraud based on the comparison.