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Zoomania E-commerce
Custom-developed online store with Machine Learning elements
We had such
development tasks
development tasks
JobSite technologies
Final Result
Zoomania Custom solutions
Our client needed an online store whose functionality goes far beyond the “boxed solutions." The architecture of the Zoomania store is open to improvements and the introduction of new functionality.
We developed it taking into account the subsequent transformation into a marketplace.
Like all the projects we developed, Zoomania meets all the requirements of
Highload-optimization and withstands high traffic and an order flow every second.
Typically, customers of online stores tend to buy quality products at low prices.
We've developed a microservice that analyzes competitor sites, compares their prices
with Zoomania prices and, using a specific formula, dynamically forms the most
attractive price for the product. Thus, we can offer the user the best price on the
market, gradually increasing the base of regular customers.
The next challenge was to develop so-called "auto-contractor" for suppliers. We've developed a
microservice (with Machine Learning elements) that runs every day through the remaining
goods in the warehouse and, using an analytical algorithm, estimates the consumption of
goods in conjunction with popularity, and then calculates the required number of goods
of each type for the order. Based on these estimates, a list of goods for purchase
from suppliers is formed. The administrator pre-moderates the file data, after which
it allows the microservice to send it by letter to the mail of the suppliers.
In accordance with the next task, we created a system that analyzes the sale of goods and dynamically
generates the number of bonuses that are returned after purchase to the customer’s
internal account. For more popular products, bonuses are awarded less, for less
popular - more. These bonuses can then be used as a discount for future purchases.
Thus, we increase the chances of selling less popular products and increase customer
loyalty.
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we bring the result
