| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| DM_PedroSilva_MEI_2024 | 1.49 MB | Adobe PDF |
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Advisor(s)
Abstract(s)
Nos últimos anos, temos presenciado um aumento significativo na quantidade e qualidade dos dados nas organizações. Isso tem levado as empresas a adaptarem-se e a aproveitarem ao máximo esses dados. Neste projeto, o objetivo é focar no processo de compra online de uma empresa nacional, onde os clientes podem comprar produtos por meio de uma loja virtual. Além disso, aborda-se o problema das sessões abandonadas, procurando entender o motivo de ocorrer e encontrar formas de converter essas sessões em vendas lucrativas para a empresa.
O principal objetivo é analisar os dados do processo de compra e das sessões abandonadas, a fim de melhorar a experiência do cliente, otimizar os fluxos de compra e aumentar o lucro. Ao compreender as razões por trás das sessões abandonadas e desenvolver estratégias eficazes para reverter essa situação, espera-se aumentar as taxas de conversão e fortalecer o relacionamento com os clientes, tornando a empresa mais competitiva no mercado.
Em resumo, este projeto visa aproveitar os dados disponíveis no processo de compra online de uma empresa nacional, com o objetivo de entender e converter as sessões abandonadas em vendas concretas. Isso impulsionará o sucesso financeiro da empresa e fortalecerá a sua posição num mercado que é competitivo.
In recent years, we have witnessed a significant increase in the quantity and quality of data within organizations. This has led companies to adapt and make the most of these data. In this project, the goal is to focus on the online purchasing process of a national company, where customers can purchase products through a virtual store. Additionally, we address the issue of abandoned sessions, seeking to understand the reasons for their occurrence and find ways to convert these sessions into profitable sales for the company. The main objective, is to analyze the data from the purchasing process and abandoned sessions to enhance the customer experience, optimize purchasing flows, and increase profitability. By understanding the reasons behind abandoned sessions and developing effective strategies to reverse this situation, we aim to boost conversion rates and strengthen customer relationships, making the company more competitive in the market. In summary, this project aims to leverage the data available in the online purchasing process of a national company, with the goal of understanding and converting abandoned sessions into concrete sales. This will drive the financial success of the company and strengthen its position in the competitive market.
In recent years, we have witnessed a significant increase in the quantity and quality of data within organizations. This has led companies to adapt and make the most of these data. In this project, the goal is to focus on the online purchasing process of a national company, where customers can purchase products through a virtual store. Additionally, we address the issue of abandoned sessions, seeking to understand the reasons for their occurrence and find ways to convert these sessions into profitable sales for the company. The main objective, is to analyze the data from the purchasing process and abandoned sessions to enhance the customer experience, optimize purchasing flows, and increase profitability. By understanding the reasons behind abandoned sessions and developing effective strategies to reverse this situation, we aim to boost conversion rates and strengthen customer relationships, making the company more competitive in the market. In summary, this project aims to leverage the data available in the online purchasing process of a national company, with the goal of understanding and converting abandoned sessions into concrete sales. This will drive the financial success of the company and strengthen its position in the competitive market.
Description
Keywords
processo de compra online sessões abandonadas vendas machine learning