Inventory Tracking System for Supply Chain

Reduce the risk of manual errors, ensure inventory accuracy, and streamline supply chain operations

Use Case
Supply Chain

In the E-commerce and Retail industry, businesses frequently encounter significant challenges such as error-prone manual data entry, inefficient order processing, and inadequate stock management. These challenges not only lead to operational inefficiencies but also negatively impact customer satisfaction and loyalty. The industry's dynamic nature demands an advanced solution that can keep up with the high volume of orders and the need for real-time data accuracy and availability.


In response to these challenges, our team collaborated with a client to create a customised Robotic Process Automation (RPA) solution. This solution leverages advanced RPA services to automate and streamline inventory management processes. Key aspects of the solution include:

  1. Automated Data Aggregation: Using RPA, the solution automatically collects data from various sources, such as barcode scans, RFID tag readings, and manual entries. This ensures that inventory records are updated in real-time, reducing the lag time associated with manual data entry.
  2. Intelligent Inventory Audits: The RPA system conducts regular, automated inventory checks. By comparing physical stock with digital records, the system identifies discrepancies quickly, flagging them for human review. This proactive approach minimises the risk of stock mismatches.
  3. Enhanced Reporting Capabilities: Our RPA solution generates detailed reports on inventory levels, historical order data, and turnover rates. These reports offer deep insights, aiding in strategic decision-making and trend analysis.
  4. Customizable and Scalable Interface: The user interface of our RPA solution is designed for ease of use and can be customised to fit specific client needs. It is also scalable, accommodating growing business demands without compromising performance.


The implementation of our RPA-driven solution has led to transformative outcomes, including:

  1. Error Reduction in Order Processing: The accuracy of order data entry significantly increased, reducing operational errors.
  2. Enhanced Stock Management: Real-time inventory tracking led to more accurate stock management and reduced instances of stockouts or overstocking.
  3. Operational Efficiency: Streamlined order processing workflows resulted in faster order fulfilment and improved customer satisfaction.
  4. Cost Savings: Automation of repetitive tasks led to reduced labour costs and improved resource allocation

Techstacks Used

Technologies and Tools
• Robotic Process Automation Software: UiPath • Data Capture Technology: Python with PyTorch • Data Analytics: SQL and Tableau • Custom Development Framework: .NET • Cloud Computing Platform: Amazon Web Services (AWS) • Security Compliance: Java with Spring Framework

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