MUMBAI, India, June 20 -- Intellectual Property India has published a patent application (202321085800 A) filed by Tata Consultancy Services Limited, Maharashtra, on Dec. 15, 2023, for 'estimating willingness-to-pay distributions from bundled and unbundled sales data using gamma mixture density networks.'
Inventor(s) include Gugulothu, Narendhar; Bhat, Sanjay Purushottam; and Bodas, Tejas.
The application for the patent was published on June 20, under issue no. 25/2025.
According to the abstract released by the Intellectual Property India: "The disclosure herein addresses estimating WTP distributions from bundled and unbundled sales data using GMDN model. The input samples are passed through the GMDN model to learn the plurality gamma mixture parameters. The learnt gamma mixture parameters are then used to evaluate the weighted CDF value at the offered price of the bundle and the bundle composition. The weighted CDF value is then used to predict the customer's choice based on the predefined threshold and estimates the revenue optimal price of the bundle composition. The disclosed GMDN model models the WTP distributions as the mixture of gamma distributions and learns the WTP distributions from the bundled and the unbundled sales with greater accuracy and excels in estimating the revenue optimal prices and the revenues of the products and the bundles."
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