METHOD AND SYSTEM FOR DETERMINATION OF PRICING OF AN ACCOMMODATION FACILITY

• US 20200134746A1
• Filed: 04/30/2019
• Published: 04/30/2020
• Est. Priority Date: 10/30/2018
• Status: Active Application

• Current Assignee: Ruptub Solutions Private Limited
• Original Assignee: Ruptub Solutions Private Limited
• Inventors: TIWARI, Abhishek, SANGANI, Chaitanya, MAAN, Jasjot Singh, SRIPADRAJ, Raghotham
• Application Number:
  US16/399,912
• Publication Number:
  US 20200134746A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

Abstract

The present disclosure provides a system to determine an optimal price of an accommodation facility. The system fetches a first historical data and obtains a first seasonality data associated with the accommodation facility. Further, the system receives a clickstream data and collects a first set of data associated with the accommodation facility. Also, the system obtains a second set of data associated with one or more accommodation facilities similar to the accommodation facility. In addition, the system extracts a competitor data from the obtained second set of data associated with the one or more accommodation facilities similar to the accommodation facility. Also, the system generates a signal to determine an optimal price of the accommodation facility based on the fetched first historical data, the obtained first seasonality data, the received clickstream data, the collected first set of data and the extracted competitor data.

Claims

1. A computer-implemented method for determining price of an accommodation facility to optimize revenue generated by the accommodation facility, the computer-implemented method comprising:

fetching, at an accommodation facility pricing system with a processor, a first historical data associated with the accommodation facility, wherein the first historical data is fetched from a first region of a geographical region, wherein the first historical data is fetched from a plurality of sources;

obtaining, at the accommodation facility pricing system with the processor, a first seasonality data associated with the accommodation facility, wherein the first seasonality data is obtained from a second region of the geographical region, wherein the first seasonality data is obtained from the plurality of sources;

receiving, at the accommodation facility pricing system with the processor, a clickstream data associated with the accommodation facility, wherein the clickstream data is received from the plurality of sources;

collecting, at the accommodation facility pricing system with the processor, a first set of data associated with the accommodation facility, wherein the first set of data is collected from the plurality of sources;

obtaining, at the accommodation facility pricing system with the processor, a second set of data associated with one or more accommodation facilities similar to the accommodation facility, wherein the second set of data is obtained from a third region of the geographical region, wherein the second set of data is obtained from the plurality of sources;

extracting, at the accommodation facility pricing system with the processor, a competitor data from the obtained second set of data associated with the one or more accommodation facilities similar to the accommodation facility, wherein the competitor data comprises a second historical data, a second seasonality data, a pricing data and miscellaneous data associated with the one or more accommodation facilities similar to the accommodation facility; and

a signal generator circuitry embedded inside a computing device hosting the accommodation facility pricing system with the processor, wherein the signal generator circuitry generates a signal for determining an optimal price of the accommodation facility based on the fetched first historical data, the obtained first seasonality data, the received clickstream data, the collected first set of data and the extracted competitor data from the second set of data, wherein the determination is done in real-time.

2. The computer-implemented method as recited in claim 1, wherein the determination of pricing of the accommodation facility comprises determining price of a single room, a double room, rooms with specific-sized beds, one or more types of rooms, a single floor, one or more floors or a combination thereof.

3. The computer-implemented method as recited in claim 1, wherein the accommodation facility comprises at least one of a hotel, a guesthouse, a camp site, a holiday home, communal accommodation, village hotel, and other accommodation.

4. The computer-implemented method as recited in claim 1, wherein the geographical region is physical area that comprises the accommodation facility and the one or more associated accommodation facilities, wherein the first region of the geographical region comprises one or more sub-regions of the geographical region, wherein the second region of the geographical region comprises one or more sub-regions from union of the first region and the geographical region, and wherein the third region of the geographical region comprises one or more sub-regions from union of the second region and the geographical region.

5. The computer-implemented method as recited in claim 1, wherein the first seasonality data comprises data associated with the accommodation facility based on a plurality of seasons, wherein the plurality of seasons comprises spring, summer, monsoon, autumn, pre-winter, and winter, wherein the first seasonality data comprises occupancy data, pricing data, and miscellaneous data associated with the accommodation facility.

6. The computer-implemented method as recited in claim 1, wherein the first historical data comprises past data associated with the accommodation facility, wherein the first historical data comprises past occupancy data, past pricing data and past miscellaneous data associated with the accommodation facility.

7. The computer-implemented method as recited in claim 1, wherein the competitor data is a subset of the second set of data, wherein the competitor data is extracted from the second set of data.

8. The computer-implemented method as recited in claim 1, wherein the accommodation facility pricing system with the processor extracts the competitor data from the obtained second set of data based on mapping of the first historical data, the first seasonality data, the clickstream data, and the first set of data with the second set of data, wherein the mapping is done based on a plurality of factors.

9. The computer-implemented method as recited in claim 8, wherein the plurality of factors comprises of at least one of location, capacity, room typology, services offered, room service, client type, room facilities, sales channels, online reputation, brand name, marketing and sales strategy, ratings, and price strategy.

11. The computer system as recited in claim 1, wherein the determination of pricing of the accommodation facility comprises determining price of a single room, a double room, rooms with specific-sized beds, one or more types of rooms, a single floor, one or more floors or a combination thereof.

12. The computer system as recited in claim 1, wherein the accommodation facility comprises at least one of a hotel, a guesthouse, a camp site, a holiday home, communal accommodation, village hotel, and other accommodation.

13. The computer system as recited in claim 1, wherein the geographical region is physical area that comprises the accommodation facility and the one or more associated accommodation facilities, wherein the first region of the geographical region comprises one or more sub-regions of the geographical region, wherein the second region of the geographical region comprises one or more sub-regions from union of the first region and the geographical region, and wherein the third region of the geographical region comprises one or more sub-regions from union of the second region and the geographical region.

14. The computer system as recited in claim 1, wherein the plurality of sources comprises at least one of a data warehouse, a database, third-party databases, social-networking sites, and web-based platforms.

15. The computer system as recited in claim 1, wherein the first seasonality data comprises data associated with the accommodation facility based on a plurality of seasons, wherein the plurality of seasons comprises spring, summer, monsoon, autumn, pre-winter, and winter, wherein the first seasonality data comprises occupancy data, pricing data, and miscellaneous data associated with the accommodation facility.

16. The computer system as recited in claim 1, wherein the first historical data comprises past data associated with the accommodation facility, wherein the first historical data comprises past occupancy data, past pricing data and past miscellaneous data associated with the accommodation facility.

17. The computer system as recited in claim 1, wherein the competitor data is a subset of the second set of data, wherein the competitor data is extracted from the second set of data.

18. The computer system as recited in claim 1, wherein the accommodation facility pricing system extracts the competitor data from the obtained second set of data based on mapping of the first historical data, the first seasonality data, the clickstream data, and the first set of data with the second set of data, wherein the mapping is done based on a plurality of factors.

19. The computer system as recited in claim 9, wherein the plurality of factors comprises of at least one of location, capacity, room typology, services offered, room service, client type, room facilities, sales channels, online reputation, brand name, marketing and sales strategy, ratings, and price strategy.

10. A computer system comprising:

one or more processors;

a signal generator circuitry embedded inside a computing device for generating a signal; and

a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method for determining price of an accommodation facility to optimize revenue generated by the accommodation facility, the method comprising;

fetching, at an accommodation facility pricing system, a first historical data associated with the accommodation facility, wherein the first historical data is fetched from a first region of a geographical region, wherein the first historical data is fetched from a plurality of sources;

obtaining, at the accommodation facility pricing system, a first seasonality data associated with the accommodation facility, wherein the first seasonality data is obtained from a second region of the geographical region, wherein the first seasonality data is obtained from the plurality of sources;

receiving, at the accommodation facility pricing system, a clickstream data associated with the accommodation facility, wherein the clickstream data is received from the plurality of sources;

collecting, at the accommodation facility pricing system, a first set of data associated with the accommodation facility, wherein the first set of data is collected from the plurality of sources;

obtaining, at the accommodation facility pricing system, a second set of data associated with one or more accommodation facilities similar to the accommodation facility, wherein the second set of data is obtained from a third region of the geographical region, wherein the second set of data is obtained from the plurality of sources;

extracting, at the accommodation facility pricing system, a competitor data from the obtained second set of data associated with the one or more accommodation facilities similar to the accommodation facility, wherein the competitor data comprises a second historical data, a second seasonality data, a pricing data and miscellaneous data associated with the one or more accommodation facilities similar to the accommodation facility; and

the signal generator circuitry embedded inside the computing device hosting the accommodation facility pricing system, wherein the signal generator circuitry generates the signal for determining an optimal price of the accommodation facility based on the fetched first historical data, the obtained first seasonality data, the received clickstream data, the collected first set of data and the extracted competitor data from the second set of data, wherein the determination is done in real-time.

20. A non-transitory computer-readable storage medium encoding computer executable instructions that, when executed by at least one processor, performs a method for determining price of an accommodation facility to optimize revenue generated by the accommodation facility, the method comprising:

fetching, at an accommodation facility pricing system, a first historical data associated with the accommodation facility, wherein the first historical data is fetched from a first region of a geographical region, wherein the first historical data is fetched from a plurality of sources;

obtaining, at the accommodation facility pricing system, a first seasonality data associated with the accommodation facility, wherein the first seasonality data is obtained from a second region of the geographical region, wherein the first seasonality data is obtained from the plurality of sources;

receiving, at the accommodation facility pricing system, a clickstream data associated with the accommodation facility, wherein the clickstream data is received from the plurality of sources;

collecting, at the accommodation facility pricing system, a first set of data associated with the accommodation facility, wherein the first set of data is collected from the plurality of sources;

obtaining, at the accommodation facility pricing system, a second set of data associated with one or more accommodation facilities similar to the accommodation facility, wherein the second set of data is obtained from a third region of the geographical region, wherein the second set of data is obtained from the plurality of sources;

extracting, at the accommodation facility pricing system, a competitor data from the obtained second set of data associated with the one or more accommodation facilities similar to the accommodation facility, wherein the competitor data comprises a second historical data, a second seasonality data, a pricing data and miscellaneous data associated with the one or more accommodation facilities similar to the accommodation facility; and

a signal generator circuitry embedded inside a computing device hosting the accommodation facility pricing system, wherein the signal generator circuitry generates a signal for determining an optimal price of the accommodation facility based on the fetched first historical data, the obtained first seasonality data, the received clickstream data, the collected first set of data and the extracted competitor data from the second set of data, wherein the determination is done in real-time.