EXECUTIVE SUMMARY
● Juno Ecommerce, a prominent vendor on Jumia, has established itself as a key player in the online retail market, offering a diverse range of products across multiple categories. As the digital marketplace continues to evolve, Juno faces the challenge of maintaining competitiveness and market relevance amidst fluctuating consumer preferences and aggressive competitor strategies. Recognizing the need to harness data for strategic decision-making, Juno has embarked on an ambitious project to leverage web scraping technologies for comprehensive market analysis. This initiative aims to automate the extraction of vast amounts of product and # information from Jumia, facilitating real-time market insights and enabling data-driven strategies to optimize #, inventory management, and customer engagement.
BUSINESS PROBLEM STATEMENT
● E-commerce is a very competitive industry, therefore, Juno Ecommerce's ability to stay ahead hinges on its capacity to quickly gather and analyze market data. Traditionally, the process of collecting data on product offerings, competitor #, and market trends has been manual, time-consuming, and prone to inaccuracies, leading to delayed responses to market changes and opportunities. Furthermore, the volume and complexity of data exceed the capability of manual processes to capture and analyze effectively, resulting in missed insights and strategic opportunities. Juno requires a systematic approach to data acquisition and analysis that can scale with the rapid pace of the e-commerce environment.
Objectives
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Automate Data Collection: Implement a robust web scraping solution to automate the collection of product and # data from Jumia.
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Enable Real-Time Market Analysis: Facilitate the analysis of market trends, competitor # strategies, and consumer preferences in real-time.
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Optimize # and Inventory: Develop algorithms that use scraped data to recommend # adjustments and inventory replenishment.