Skip to content

lucasinanaj/DataScienceLab

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

DataScienceLab

Project Overview:

In the contemporary business landscape, the shift towards online sales has become imperative for sales companies seeking to thrive in the market. While third-party platforms like Amazon offer convenience, many companies opt for personalized e-commerce platforms to retain control and mitigate additional costs. Beyond being a revenue source, e-commerce serves as a rich data mine. Understanding the significance of data analysis in shaping strategies, our project centers on analyzing data from a sport articles e-commerce platform.

Project Objectives:

Extracting Business Insights:

Conducting a comprehensive examination of e-commerce data to uncover patterns, identify growth opportunities, optimize pricing, and refine marketing campaigns.

Sales Growth Enablement: Providing valuable insights for sales companies in the sport articles sector to stay competitive, tailor offerings to customer preferences, and drive sales growth.

Strategic Decision-Making: Equipping sales managers with insights into future expectations, sales data, and historical trends to inform decisions on promotions, product offerings, pricing, and marketing campaigns. Forecasting and Inventory Management: Identifying patterns, forecasting shifts in demand, and assisting in proactive inventory management to optimize levels and avoid stockouts.

Dataset and Approach:

Dataset Source: Prominent sport articles e-commerce site. Dataset Period: 2013 to 2022. Key Focus: Identification of the most performing sector. Utilization of forecasting techniques for predicting future trends.

Sector Analysis: Examining historical sales data for each sector to understand individual trends and growth patterns. Future Development Comparison: Comparing the future development of sectors to develop strategies capitalizing on high-performing sectors. Emerging Sectors Assessment: Evaluating emerging sectors to discern long-term potential versus short-lived trends. Sales Prediction: Predicting future sales for the most performing sectors to inform strategic decision-making. Results and Impact:

The insights gained from this analysis will empower sales companies to make data-driven decisions, adapt to market trends, and strategically plan for the future. By providing a comprehensive understanding of sector performance and trends, the project aims to facilitate informed decision-making for sustainable sales growth.

Methodology Details:

For a more detailed understanding of the methodology employed, forecasting models, and steps taken for accurate predictions, please refer to the subsequent sections of this repository.

About

Extracting business insights and forecast

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published