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A cloud driven dynamic pricing system for retail companies

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hdl:2117/362992

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Galán Montero, José Juan
Tutor / directorCortés García, Claudio UlisesMés informacióMés informacióMés informació; García Hernández, Jesús Vicente
Document typeMaster thesis
Date2022-01-28
Rights accessRestricted access - author's decision
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
This project develops a dynamic pricing framework over a cloud based architecture, being scalable and highly configurable, considering the great cardinality of the solution in terms of the analytic models to build and apply. This architecture was defined using AWS and Terraform, ensuring an easy deployment agnostic to the client's infrastructure. The dynamic optimization of the prices is achieved by combining the training of a sales prediction model and the execution of a discount combination optimizer. The framework tries to be as general as possible in order to be easily adaptable to any given client. We provide general interfaces that can be reimplemented if the default implementations are not suitable for a given project. We performed simulations with data from a real client from the fashion retail sector, and the results obtained were promising, suggesting an improvement in the company's revenue.
SubjectsCloud computing, Artificial intelligence, Computació en núvol, Intel·ligència artificial
DegreeMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2017)
URIhttp://hdl.handle.net/2117/362992
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  • Màsters oficials - Master in Artificial Intelligence - MAI [341]
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