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Development of Automated Spare Parts Ordering and Asset Management Platform for Manufacturing Industry
  1. case
  2. Development of Automated Spare Parts Ordering and Asset Management Platform for Manufacturing Industry

Development of Automated Spare Parts Ordering and Asset Management Platform for Manufacturing Industry

geckodynamics.com
Manufacturing

Identifying Challenges in Manual Spare Parts Ordering and Asset Oversight

The client faces inefficiencies in the manual process of ordering replacement parts, which leads to increased service request handling times, reduced customer satisfaction, limited transparency in asset management, and potential delays in maintenance due to disconnected information systems. The existing process lacks automation and integration with core enterprise resource planning systems, hindering operational efficiency.

About the Client

A large manufacturing enterprise specializing in industrial equipment and machinery, seeking to streamline its spare parts procurement and asset management processes.

Goals for Modernizing Spare Parts and Asset Management Processes

  • Automate the process of ordering spare parts to reduce manual intervention and processing time.
  • Integrate the platform seamlessly with existing enterprise systems such as ERP, inventory, and customer support systems.
  • Enable users to easily locate specific equipment by serial number or parameters and select parts via interactive schematics.
  • Improve visibility and transparency of asset and order data through a centralized dashboard.
  • Enhance overall customer experience by decreasing service request handling time and providing real-time order status updates.
  • Support future scalability to accommodate increasing clients and parts catalog.
  • Achieve measurable improvements in customer satisfaction, operational efficiency, and speed of order fulfillment.

Core Functionalities for Spare Parts Ordering and Asset Management System

  • Customer portal enabling users to log in, search for equipment by model, serial number, or parameters.
  • Interactive 3D schematics for precise identification and selection of parts.
  • Automated order processing that generates purchase orders and updates relevant enterprise systems in real-time.
  • Ticket creation and management for support staff upon order placement.
  • Availability checks for parts integrated with inventory systems.
  • Offer creation, order monitoring, and real-time status updates for customers.
  • Dashboard interface for support personnel to manage asset data, orders, and customer inquiries.
  • Synchronization with core enterprise systems such as ERP, inventory, and customer support platforms.

Recommended Technologies and Architectural Approach

Web-based platform using modern frameworks (e.g., Java, Angular)
Cloud deployment for scalability and availability
Responsive design for cross-device accessibility

Essential External System Integrations

  • ERP system (e.g., SAP, Epicor, Sage) for inventory and order data synchronization
  • Customer support and ticketing systems
  • Inventory management databases
  • Asset management systems for equipment data

Critical Non-Functional System Requirements

  • High system availability (target 99.9% uptime)
  • Secure access with role-based permissions
  • Scalable architecture to support increasing user volume and data growth
  • Fast response times (e.g., page loads within 2 seconds, order processing within 5 seconds)
  • Data consistency and integrity across integrated systems

Anticipated Business Benefits and Performance Outcomes

The implementation of this platform is expected to significantly reduce order handling time, enhance transparency in asset management, and improve customer satisfaction. Operational efficiency will be increased through automation, leading to higher sales and customer retention. The system aims to facilitate onboarding of new clients daily and serve as a milestone in the company's digital transformation, mirroring previous successes in streamlining service requests and increasing overall customer satisfaction.

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