Restocking System
Restocking System

Restocking System

Restocking System is an automated solution for inventory monitoring, demand forecasting and order synchronization. The system is integrated with Amazon API and uses Machine Learning to predict product needs, helping sellers minimize losses and maximize profits.

Instead of manually analyzing data and ordering products, sellers now receive automated recommendations and automatic replenishment of the warehouse depending on the predicted demand.

Project Summary

Industry:

E-commerce

Location:

Europe

Technology Stack:

Python, Django, Rabbit MQ, Angular, Advertising API

Duration:

12 months

Objective:

To create a service that will track inventory, synchronize orders and manage labels from Amazon

After Image

Business Challenges

Amazon sellers face a number of challenges:

Complexity of inventory management

it is impossible to manually track hundreds of SKUs.

Frequent errors with shortages or excesses of goods

ineffective planning leads to losses.

Manual demand forecasting

trend analysis requires time and knowledge.

Delays in replenishment of goods

untimely deliveries reduce the seller's rating.

Solution

The main task of our professionals was to make the most accurate tracking of the Amazon user’s inventory and to adjust their automatic replenishment, and also, to develop additional functions, for the usability of service.

 

Implementation of Machine Learning for Inventory Management

Demand forecasting using ML algorithms

The machine learning model analyzes:

  • Sales history of each SKU
  • Seasonal fluctuations in demand
  • External factors (promotions, holidays, competition)
  • Sales data for similar products

The system forecasts purchase volumes, reducing the risk of warehouse overflow or shortage of products.

See More

Automatic inventory synchronization

  • Integration with Amazon API allows you to track warehouse balances in real time.
  • If the product runs out, the system automatically places an order for replenishment.
  • Built-in flexible purchasing rules allow you to set thresholds for each SKU.
See More

Generating 2D barcodes for deliveries

  • The system automatically creates 2D barcodes for Amazon FBA.
  • The barcode contains all the information about the product, which speeds up order processing.
  • Sellers no longer waste time manually labeling packages.
See More

Improved filtering and sales analytics

The system allows you to filter data by:

  • SKU, categories, brands
  • Sales period
  • Buyer’s country

Detailed reports help sellers assess demand dynamics and adjust purchases.

See More
After Image

Delivered Results

Cost

Cost Savings

35

%

reduction in excess inventory

50

%

fewer cases of product shortages

20

%

increase in profit

  • 35% reduction in excess inventory – sellers purchase exactly as much as they need.
  • 50% fewer cases of product shortages – demand forecasting helps prevent sales losses.
  • 20% increase in profit – dynamic pricing increases revenue.
  • 10+ hours saved per week – warehouse management automation reduces routine tasks.
  • 25% reduction in storage costs – precise procurement planning minimizes unnecessary expenses.

 

The implementation of Machine Learning Implementation in the Restocking System has made it possible to automate the inventory management process and turn procurement into a predictable and optimized system.

 

Sellers do not engage in routine data analysis – the system itself predicts, orders and recommends which products to sell and in what quantities.

 

Let’s get started!

Get Advanced and modern Security Protocols

AI automation refers to the use of artificial intelligence technologies to perform tasks...

Advanced AI solutions for the modern enterprise