The Client wanted to create a web app for people who sell products online (dropshippers) to show them the most popular products and calculate the potential profits. DATAFOREST designed and built the web app from scratch, creating high-load scraping algorithms to extract data from different eCommerce marketplaces, developing AI algorithms to calculate profits, and integrating the payment system with various functionalities.
The Software company that provides solutions to eCommerce store owners
Develop from scratch a responsive web-native app with sign-up functionality (user and admin parts).
Collecting and analyzing product/seller data from AliExpress/Alibaba.
Integrate data with FB and TikTok.
Build a system to calculate subscriber profit and product statistics based on various factors and indicators.
Mapping and displaying the best-selling product data within the app design (description, price, competitors, product ratings, etc).
Integration with the payment systems.
Designed and built a mobile responsive web app with user and admin parts.
Built high-load scraping algorithms for extracting data from AliExpress/ FB/TikTok.
Developed scrapers that get competitor product data from Shopify stores.
Developed AI algorithms that calculate for users the main economic indicators and profit margins.
Developed payment system integration with various subscription functionalities.
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pages processed daily
These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.
increase in sales
dead zones removed
DATAFOREST provides meaningful shopper-behavior Insights. They are very responsive and effective, trying to engineer and offer the best fit solution.
DATAFOREST has the best data engineering expertise we have seen on the market in recent years.
DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.
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