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Web app for dropshippers
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.
100k+
hourly users
1,5 mln+
Shopify stores
About the client
The Software company that provides solutions to eCommerce store owners
Tech stack
Python
Pandas
PostgreSQL
Django REST Framework
ReactJS
AWS
Challenges & solutions
Challenge
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.
Solution
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.
If we experience any problems, they come back to us with good recommendations on how the project can be improved.
Steps of providing web applications services
Data parsing
We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.
These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.
Store heatmap
The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.
DATAFOREST provides meaningful shopper-behavior Insights. They are very responsive and effective, trying to engineer and offer the best fit solution.
Mailing Platform
We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.
Latest publications
All publications
18 min
Web Price Scraping and Price Monitoring Guide by DATAFOREST
18 min
Efficient Cloud Infrastructure Monitoring: Secure and Scalable Solutions
16 min
15 Best Data Warehousing Tools: Cloud-based Platform & Services - DATAFOREST
We’d love to hear from you
Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.
