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Supply Chain Optimization Platform Development
  1. case
  2. Supply Chain Optimization Platform Development

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Supply Chain Optimization Platform Development

plavno.io
Logistics

Challenges

The client faced challenges in accurately forecasting demand, managing inventory efficiently, assessing supplier performance, mitigating supply chain risks, and gaining real-time visibility across their complex logistics network. This resulted in operational inefficiencies, increased costs, and potential disruptions to customer satisfaction.

About the Client

A global provider of logistics services specializing in transportation, warehousing, and supply chain management.

Objectives

  • Improve demand forecasting accuracy.
  • Optimize inventory levels to reduce stockouts and excess inventory.
  • Enhance supplier performance management.
  • Proactively identify and mitigate supply chain risks.
  • Provide real-time visibility into the entire supply chain.
  • Enable data-driven decision-making.

Functional Requirements

  • Demand Forecasting with predictive modeling
  • Inventory Optimization algorithms
  • Supplier Performance Analytics
  • Risk Assessment and Alerting
  • Real-time Supply Chain Dashboard
  • Customizable Reporting
  • User Management and Access Control

Preferred Technologies

AWS Cloud Infrastructure
RESTful APIs
React
TypeScript
CSS3
HTML5
SASS
PHP
Vue.js
Laravel
Yii2
JQuery
Node.js
Docker
Shopify

Required Integrations

  • Existing Logistics Systems (various)
  • Potential external data sources (market data, weather data, etc.)

Non-Functional Requirements

  • Scalability to handle large volumes of data and transactions
  • High availability and reliability
  • Robust security measures to protect sensitive data
  • Performance to ensure quick response times
  • User-friendly interface

Estimated Business Impact

The platform is expected to significantly improve operational efficiency, reduce costs associated with inventory and logistics, enhance customer satisfaction through improved delivery performance, and enable better decision-making based on real-time data and insights. The platform will lead to better resource allocation, optimized inventory levels, and proactive risk mitigation, resulting in a stronger and more resilient supply chain.

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