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Development of a Cloud-Based Inventory and Order Management System for Wholesale and Retail Beverage Suppliers
  1. case
  2. Development of a Cloud-Based Inventory and Order Management System for Wholesale and Retail Beverage Suppliers

Development of a Cloud-Based Inventory and Order Management System for Wholesale and Retail Beverage Suppliers

artkai.io
Food & Beverage
Supply Chain
Retail

Identifying Key Challenges in Beverage Inventory and Supply Chain Management

The client faces fragmented communication channels among retailers, distributors, and suppliers, resulting in inefficient operations, outdated inventory management, and limited access to private labels for smaller stores. These issues have been exacerbated by offline processes and the lack of a unified, scalable digital platform, hindering growth and competitiveness in a rapidly evolving market environment.

About the Client

A mid-sized company operating in the beverage distribution sector, managing inventory and orders across multiple retail outlets, distributors, and suppliers seeking streamlined communication and automation.

Goals and Expected Outcomes for the Inventory Automation Platform

  • Create a scalable, cloud-based inventory management and ordering system linking retailers, distributors, and suppliers.
  • Enable automated and predictive order processing to improve efficiency and reduce manual effort.
  • Facilitate crowdsourcing opportunities for private label purchasing, especially supporting small and emerging stores.
  • Implement an onboarding process that allows remote setup and integration within one week.
  • Deliver measurable improvements in operational efficiency, market insights, and sales, aiming for increased private label access and streamlined communication.

Core Functionalities for the Inventory and Ordering System

  • Unified inventory tracking and product catalog management for multiple user roles.
  • AI-powered, automated order processing and forecasting to optimize stock levels.
  • Crowdsourcing module enabling stores to participate in private label acquisitions.
  • User onboarding workflows to enable rapid remote setup in under a week.
  • Real-time sales analytics, market trend monitoring, and inventory performance dashboards.
  • Multi-platform accessibility with web and mobile applications tailored for retailers, distributors, and suppliers.

Technology Stack and Architectural Approach

TypeScript
Vue.js & Nuxt.js for Frontend
Node.js with Express.js for Backend
Kubernetes (K8S) for Deployment and Scalability
PostgreSQL & MongoDB for Data Storage
REST and GraphQL APIs for Integration
RabbitMQ for Message Brokering
Swagger for API Documentation

External System and Data Source Integrations

  • Payment gateways for transaction processing
  • External market data APIs for sales trend analysis
  • Inventory data feeds from third-party suppliers
  • User authentication and identity management systems

Critical Performance and Security Considerations

  • System should support at least 1,000 concurrent users with scalable infrastructure.
  • Ensure data security and compliance with industry standards, including secure API endpoints and user data protection.
  • High availability architecture with 99.9% uptime SLA.
  • Fast response times with page loads under 3 seconds for core features.

Anticipated Business Benefits and Impact of the Inventory System

The new system is expected to connect all tiers of the beverage supply chain effectively, enabling sophisticated, AI-driven ordering, improved inventory oversight, and expanded private label opportunities. This will lead to increased operational efficiency, better market insights, higher private label access for small stores, and enhanced overall competitiveness, mirroring a significant transformation similar to a 30% reduction in order processing time and 20% growth in private label sales observed in the prior project.

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