Introduction
A Brief Story About the Company/Client
Toy Express is a distributor of toys on a massive level. They collect toys from different shops’ manufacturing and production units and distribute them worldwide. They developed partnerships with big companies and distributed the product in 2000+ shops.
Objectives
- Our team received more than three hundred B2B web shops for the inventory product, product category, and prices.
- The average amount of data generated was 12000+ products, 1000+ categories their invoices with 24/7 running crawlers.
Solutions
- After we collected data from the seed URL’s product, we filtered and clustered as per their categories, prices, and inventory.
- Our team, among all web shops employing Artificial intelligence algorithms to identify patterns and statistics, did comparative and predictive analysis.
Challenges
Our team faced a challenge when we had to make sure that there was NO break point and the crawler must provide 100% efficiency 24/7.
Business Value
- After we collected data from the seed URL’s product, we filtered and clustered as per their categories, prices, and inventory.
- Our team, among all web shops employing Artificial intelligence algorithms to identify the patterns and statistics, did comparative and predictive analysis.
Skill Set
- Java
- PHP
- CURL
- Linux
