Jones Lang Lasalle IP, Inc.

Utkarsh Porwal

Gurdit Chahal

Pradnya Nimkar

Methods, non-transitory computer readable media, and property analysis server devices are disclosed that generate a feature dataset including property and metric data for properties includes an address and an actual lease value. A machine learning model (MLM) trained on the feature dataset is selected from different types of MLMs. A determination is made that the selected MLM exceeds an accuracy threshold based on a cross-validation using predicted lease values. The property data is stored in a lease benchmarking database with the addresses replaced in with corresponding geographic coordinates and geohash values. The properties are associated in the lease benchmarking database with the predicted lease values. One of the predicted lease values is returned in response to a received lease pricing request that includes an address. The returned predicted lease value is identified in the lease benchmarking database based on a geographic proximity of the address to one of the properties.

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Santa Clara, CA, United States of America

Utkarsh Porwal