Icertis, Inc.

Ntex Transportation Services Pvt. Ltd.

Yogesh Haribhau Kulkarni

Ravi Kothari

Monish Mangalkumar Darda

Amitabh Jain

Sunu Engineer

Rohit Gupta

Tanay Shah

Shitiz Bansal

Embodiments are directed to representing documents using document keys. Documents that include one or more clauses may be provided. Each clause type for the one or more clauses in documents may be determined based on one or more classification models. One or more clause identifiers may be associated with the one or more clauses based on one or more clause types of each clause. A document key may be generated for each document based on an ordered collection of the one or more clauses included in each document such that each clause identifier may be positioned in the document key based on an order of its location in a corresponding clause of a document. The documents may be analyzed based on evaluations of one or more document keys corresponding to the documents. One or more reports may be generated based on one or more results of the analysis.

Representing documents using document keys

Embodiments are directed to representing documents using document keys. Documents that include one or more clauses may be provided. Each clause type for the one or more clauses in documents may be determined based on one or more classification models. One or more clause identifiers may be associated with the one or more clauses based on one or more clause types of each clause. A document key may be generated for each document based on an ordered collection of the one or more clauses included in each document such that each clause identifier may be positioned in the document key based on an order of its location in a corresponding clause of a document. The documents may be analyzed based on comparisons of one or more document keys corresponding to the documents. One or more reports may be generated based on one or more results of the analysis.

The present disclosure provides computer-implemented method and a system for classification and sorting of one or more addresses to increase productivity of classification and sorting process of the one or more addresses. The system logically partitions a geographical region into one or more zones in real-time. The system fetches an address data from an entity of the one or more entities containing destination address. Further, the system extracts one or more points of interests from the fetched address data based on hardware-run machine learning algorithms. Furthermore, the system generates a signal to determine a zone of the one or more zones associated with the entity of the one or more entities. The system logically updates the one or more zones based on the extracted one or more points of interests in real-time.

Method and system for smart address classification

Growing community of inventors

Pune, India

Yogesh Haribhau Kulkarni