Project
Competitive e-Commerce Price Monitoring Through Data Science
Location
Cairo, Egypt
Industry
e-Commerce
Solution
Data Analytics
Project Overview
Our partnership with an ambitious ecommerce company aimed to gain a competitive edge in the market through strategic pricing intelligence. Leveraging advanced data science techniques, including machine learning, our goal was to scrape and analyze competitor prices to inform pricing strategies and drive revenue growth. The client had a team of 20 people, they were checking competitors pricing on daily basis, in addition to this process being very costly, it wasn’t real-time and caused a delay of around 1 day in pricing updates which hindered the company’s growth.
Our Solutions
Real-time Price Scraping
Employed advanced web scraping techniques to gather real-time pricing data from competitors’ websites, ensuring up-to-date insights.
Data Science Integration
Deployed machine learning algorithms to analyze and interpret the scraped data, uncovering trends and patterns in competitor pricing strategies.
Strategic Insights
Translated data analysis into actionable insights, empowering the ecommerce company to adjust pricing strategies dynamically and capitalize on market opportunities.
Outcome
Competitive Advantage
Access to real-time competitor pricing data provided a competitive advantage, enabling the ecommerce company to make informed pricing decisions.
Revenue Growth
Dynamic pricing strategies based on data-driven insights led to increased sales and revenue growth.
Efficiency
Automated data scraping and analysis processes streamlined operations, saving time and resources.
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