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Method And System For Identifying An Optimal Promotion Type For Products

Abstract: Systems and methods for identifying optimal promotion-types for plurality of products are described. The system may consider various factors like time, location, non-promotional scenario, promotional scenario and user-defined constraints for computing different values like total sales, total loss, total cost, total profit and profitability ratio. These values may be computed in both non-promotional and promotional scenarios. Further, the system may compare the profitability ratios computed in both the scenarios and based on application of user-defined constraints, the system identifies the optimal promotion-types amongst a plurality of applicable promotion-types. The optimal promotion-types indicates most suitable promotion-types for a particular product at particular location and time period. FIG. 1

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Patent Information

Application #
Filing Date
03 January 2017
Publication Number
27/2018
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
ipo@knspartners.com
Parent Application

Applicants

WIPRO LIMITED
Doddakannelli, Sarjapur Road, Bangalore 560035, Karnataka, India.

Inventors

1. SAMEER SINGH DEO
B 404, DSR Ultima, Haralur Main Road Bangalore-560102, Karnataka, India.
2. UNMESH MOKASHI
House No. 702, Shri Hari Har Residency, Lake View Road, Bhandup (W), Mumbai - 400078, Maharashtra, India.
3. SUJIT SINGH
#3-4ยท63/19/154. Plot No: 154 North, Sriramanapuram Colony, Ramanthapur, Hyderabad 500013, Andhra Pradesh, India.
4. AMIT VIKRAM
S9-201, Greenwood Regency, Sarjapur Road, Bangalore - 560035, Karnataka, India.

Specification

Claims:WE CLAIM:
1. A method for identifying optimal promotion-types for products in an inventory list, the method comprising:
computing for each promotion-type of a plurality of promotion-types, by a promotion-type identification system (102), a non-promotional profitability ratio (NPPR) (242) and a promotion profitability ratio (PPR) (244) relative to a current location of a product and pre-defined time intervals of a product trade cycle associated with the product;
identifying for each current location and a corresponding pre-defined time interval associated with the product, by the promotion-type identification system (102), one or more combination of ratios indicating the NPPR (242) less than the PPR (244), wherein the one or more combination of ratios satisfies a user-defined profit threshold factor (220); and
determining for each of the current location and the corresponding pre-defined time interval associated with the product, by the promotion-type identification system (102), optimal promotion-types based on application of user-defined constraint factors (224) and user-defined priority data (222) on the one or more combination of ratios.
2. The method as claimed in claim 1, wherein the computing of the NPPR (242) and the PPR (244) is performed by:
receiving, by the promotion-type identification system (102), location data (212) comprising the current location of a plurality of products in an entity (104), non-promotional product data (214) and promotional product data (216) related to the plurality of products, time-period data (218), and the user-defined constraint factors (224) comprising a plurality of applicable promotion-types and a total budget available for the plurality of applicable promotion types;
computing, by promotion-type identification system (102),
total non-promotional sales (226), total non-promotional loss (228) and total non-promotional cost (230) for the plurality of products based on the location data (212), the non-promotional product data (214) and the time-period data (218), and total promotional sales (232), total promotional loss (234) and total promotional cost (236) for the plurality of products based on the location data (212), the promotional product data (216) and the time-period data (218),
non-promotional profit value (238) based on the total non-promotional sales (226), the total non-promotional loss (228) and the total non-promotional cost (230) and promotional profit value (240) based on the total promotional sales (232), the total promotional loss (234) and the total promotional cost (236); and
the NPPR (242) based on the non-promotional profit value (238) and the total non-promotional sales (226), and the promotional profitable ratio (PPR) (244) based on the promotional profit value (240) and the total promotional sales (232).
3. The method as claimed in claim 1, further comprising transmitting the optimal promotion types to a user device of a user associated with the entity (104).
4. The method as claimed in claim 1, wherein the time-period data (218) comprises number of days for executing one or more promotions or non-promotions on the plurality of products.
5. The method as claimed in claim 1, wherein the entity (104) comprises at least one of manufacturing store, retail store, and an inventory.
6. A promotion-type identification system (102) for identifying an optimal promotion type for products in an inventory, the system (102) comprising:
a processor (204); and
a memory (206) communicatively coupled to the processor (204), wherein the memory (206) stores processor-executable instructions, which, on execution, causes the processor (204) to:
compute, for each promotion-type of a plurality of promotion-types, non-promotional profitable ratio (NPPR) (242) and promotional profitable ratio (PPR) (244) relative to a current location of a product and pre-defined time intervals of a product trade cycle associated with the product;
identify, for each current location and a corresponding pre-defined time interval associated with the product, one or more combination of ratios indicating the NPPR (242) less than the PPR (244), wherein the one or more combination of ratios satisfies a user-defined profit threshold factor; and
determine, for each of the current location and the corresponding pre-defined time interval associated with the product, optimal promotion-types based on application of user-defined constraint factors (224) and user-defined priority data on the one or more combination of ratios.
7. The promotion-type identification system (102) as claimed in claim 6, wherein the processor, for computing the NPPR (242) and PPR (244), is configured to:
receive location data (212) comprising the current location of a plurality of products in an entity (104), non-promotional product data (214) and promotional product data (216) related to the plurality of products, time-period data (218), and the user-defined constraint factors (224) comprising a plurality of applicable promotion-types and a total budget available for the plurality of applicable promotion types;
compute,
total non-promotional sales (226), total non-promotional loss (228) and total non-promotional cost (230) for the plurality of products based on the location data (212), the non-promotional product data (214) and the time-period data (218), and total promotional sales (232), total promotional loss (234) and total promotional cost (236) for the plurality of products based on the location data (212), the promotional product data (216) and the time-period data (218),
non-promotional profit value (238) based on the total non-promotional sales (226), the total non-promotional loss (228) and the total non-promotional cost (230) and promotional profit value (240) based on the total promotional sales (232), the total promotional loss (234) and the total promotional cost (236); and
the NPPR (242) based on the non-promotional profit value (238) and the total non-promotional sales (226), and the promotional profitable ratio (PPR) (244) based on the promotional profit value (240) and the total promotional sales (232).
8. The promotion-type identification system (102) as claimed in claim 6, wherein the processor is further configured to transmit the optimal promotion types to a user device of an user associated with the entity (104).
9. The promotion-type identification system (102) as claimed in claim 6, wherein the time-period data (218) comprises number of days for executing one or more promotions or non-promotions on the plurality of products.
10. The promotion-type identification system (102) as claimed in claim 6, wherein the entity (104) comprises at least one of manufacturing store, retail store, and an inventory.

Dated this 3rd day of January 2017

Swetha SN
Of K&S Partner
Agent for the Applicant
, Description:TECHNICAL FIELD

The present disclosure relates in general to data analytics and in particularly to a method and system for identifying an optimal promotion-type for products.

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