Intellectual Property India Publishes Patent Application for Forecasting Methods And Systems

MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202617053080 A) filed by Skyscanner Technology Limited on April 25, 2026, for Forecasting Methods And Systems.

Inventors include Russo, Chris; Gomez, Jordi; Romero, Carlos; Lozano, Albert; Le Nagard, Ronan; and Becker, Michelle.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: There is disclosed a computer-implemented method of forecasting a number of clicks and a number of impressions a line item will receive in a defined time period, the method including the steps of: (i) a forecasting service receiving a request from a portal for a forecast of the number of clicks and the number of impressions a line item will receive in a defined time period, the request including targeting criteria and placement data; (ii) the forecasting service translating the targeting criteria and the placement data into an index querying syntax; (iii) the forecasting service using the index querying syntax to request inventory via a service; (iv) the service making a request corresponding to the index querying syntax for a time series of historical searches to a database system; (v) in response to the request, the service receiving the time series of historical searches from the database system; (vi) the service providing inventory to the forecasting service corresponding to the defined time period, based on the received time series of historical searches; (vii) the forecasting service using the returned inventory in a request to a real-time service which makes a forecast of the number of clicks and the number of impressions the line item will receive in the defined time period, in which the forecasting service receives the response from the real-time service in real time, e.g. in less than one second; (viii) the forecasting service using the received forecast of the number of clicks and the number of impressions the line item will receive in the defined time period, to derive a click-through-rate (CTR) for the line item; (ix) the forecasting service returning the forecast of the number of clicks and the number of impressions the line item will receive in the defined time period, and the click-through-rate (CTR) in the defined time period, to the portal. Related methods and systems are disclosed.

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