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Automated Pricing System Development for Manufacturing Power Supply Provider
  1. case
  2. Automated Pricing System Development for Manufacturing Power Supply Provider

Automated Pricing System Development for Manufacturing Power Supply Provider

reenbit
Manufacturing
Electrical Equipment & Components

Challenges of Manual Pricing Processes in Power Supply Manufacturing

The client relies on manual pricing methods utilizing multiple Excel spreadsheets, leading to error-prone, time-consuming, and complex maintenance issues. The dispersed data hampers automation efforts and affects pricing accuracy, billing efficiency, and overall operational reliability.

About the Client

A mid-sized manufacturing company specializing in designing and producing high-quality power conversion products, serving global markets across industries such as medical, transportation, and industrial automation.

Goals for Automating and Optimizing the Pricing Workflow

  • Implement a centralized digital pricing platform to eliminate manual data handling.
  • Reduce the time required to generate and update price lists by automating calculations and data propagation.
  • Enhance pricing accuracy by minimizing human errors with integrated validation and testing.
  • Enable flexible and real-time price adjustments applicable across downstream systems.
  • Improve billing efficiency and customer satisfaction through swift and precise price delivery.

Core Functional Capabilities for the Automated Pricing System

  • A centralized database to store all pricing data, product details, and related information.
  • Search and filter functionalities for easy product and pricing data retrieval.
  • A workflow engine to manage complex price calculations, including taxes, discounts, and currency conversions.
  • Capability to modify prices dynamically and propagate updates automatically to downstream systems.
  • Automated generation of updated price lists in formats compatible with billing and ERP systems.
  • Integration with financial modules to ensure consistency with accounting formulas and rules.
  • Automated testing frameworks to validate pricing logic and calculations.

Preferred Technologies and Architectural Approach

React for frontend development
Kendo UI components for rich user interface
SQL Server for centralized data storage
Azure cloud services including Blob storage, Web Apps, Service Plans, and Key Vault
Azure Data Factory for data workflows
Azure DevOps for project management and CI/CD pipelines
ASP.NET Core, .NET 6 for backend API development
Entity Framework and Dapper for data access

Essential System Integrations

  • Financial and accounting systems for price validation and consistency
  • Downstream billing and ERP systems for automatic price propagation
  • Existing Azure portals and services for deployment and management

Key Non-Functional System Requirements

  • System scalability to handle increased product and pricing data as the business grows
  • High performance to support real-time pricing calculations and updates
  • Data security and confidentiality, leveraging Azure Key Vault
  • Robust error handling and validation to prevent pricing discrepancies
  • Compliance with industry standards and best practices for financial data processing

Business Benefits and Expected Outcomes

The automated pricing solution will significantly enhance operational efficiency by reducing manual effort, minimizing errors, and accelerating price list updates. This will lead to improved billing accuracy, increased customer satisfaction, and a more reliable, scalable pricing process capable of supporting future business growth.

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