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Development of a Customizable Multitenant Order Management System for Beverage Distributors
  1. case
  2. Development of a Customizable Multitenant Order Management System for Beverage Distributors

Development of a Customizable Multitenant Order Management System for Beverage Distributors

altoroslabs.com
Retail
Supply Chain
Logistics

Challenges Faced by Beverage Distributors in Manual Order Processing

The client faces inefficiencies and high error rates due to manual order placement, tracking, and reporting processes among retailers and wholesalers, compounded by diverse workflows and legacy systems. Additionally, the inability to quickly customize and securely manage multiple installations hinders operational scalability and responsiveness.

About the Client

A mid-sized wholesale beverage distribution company operating across multiple regions, aiming to modernize its order processing and integrate with retailers' existing workflows.

Goals for Streamlining and Automating Beverage Distribution Operations

  • Develop a scalable, multitenant order management platform enabling retailers to place, track, and manage orders efficiently.
  • Create an admin panel for centralized management, including user roles, permissions, and system customizations with minimal technical expertise required.
  • Implement a flexible API to synchronize data with existing databases and systems, supporting seamless integration.
  • Enable quick deployment and customization per client, including theme, layout, and specific workflows.
  • Reduce feature release cycle times through automation, enabling rapid updates and improvements.
  • Enhance system security with role-based access controls and data partitioning.
  • Improve operational efficiency, aiming to replicate the 3x reduction in feature release times and facilitate real-time order processing.

Core Functional and Technical System Requirements for Beverage Distribution Platform

  • Multitenancy architecture supporting multiple retailer installations with isolated data views.
  • Admin panel enabling non-technical staff to manage users, roles, permissions, and custom UI configurations.
  • One-click database instance creation and version management for rapid deployment.
  • Configurable user interfaces allowing customization of layout, color schemes, and visibility without programming skills.
  • API layer for reading/writing data such as products and orders from existing databases.
  • Order tracking, reporting dashboard, including historical data and payment status filters.
  • Matching system for associating product IDs with retailer-specific catalog entries.
  • Role-based access control to enforce security policies and permissions.
  • Automated CI/CD pipeline for testing, deploying, and releasing new features efficiently.

Preferred Technologies and Architectural Approaches

Domain-Driven Design (DDD)
API-first architecture
CI/CD automation tools (e.g., Bitbucket pipelines)
Configurable admin panel with drag-and-drop or simple form-based customization
Secure role-based access control mechanisms

Essential External System Integrations

  • Existing retailer and distributor databases for data synchronization
  • Payment processing and order tracking systems
  • User authentication and authorization services

Key Non-Functional System Performance and Security Criteria

  • Scalability to support multiple tenants with isolated data views
  • High system uptime and operational reliability
  • Fast deployment and update cycles, aiming for 3x faster feature release compared to traditional methods
  • Data security through role-based access controls and secure API communications
  • Responsive UI compatible across devices and platforms

Projected Business Impact and Performance Benefits

The implementation of this customizable, multitenant order management system is expected to significantly enhance operational efficiency, reduce manual errors, and accelerate feature deployment cycles by up to 3 times. This will enable the client to better serve multiple retailers across diverse regions, process increased sales volume with improved accuracy, and adapt rapidly to regulatory and market changes.

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