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Custom Odoo ERP Implementation for Manufacturing Process Optimization

ahex.co

Manufacturing

Industrial Equipment & Machinery

Operational Inefficiencies in Manufacturing

The client faces complex production workflows, fragmented inventory management across multiple locations, data silos from legacy systems, and scalability limitations. These issues lead to operational redundancies, stock mismanagement, delayed reporting, and difficulties in workforce adoption of new technologies.

About the Client

A prominent manufacturer specializing in metallic products using industrial molds, seeking operational modernization to address scalability and efficiency challenges.

Key Objectives of ERP Implementation

Centralize business operations under a unified ERP system
Reduce operational costs through process automation
Enhance production planning and real-time inventory tracking
Improve financial reporting accuracy and scalability
Enable data-driven decision-making via advanced analytics

Core System Functionalities

Customized CRM for customer interaction and sales pipeline tracking
Production management with Bill of Materials (BoM) and work order tracking
Real-time inventory management with batch/lot traceability
Automated financial transactions and multi-dimensional reporting
Scalable warehouse operations with optimized picking/packing workflows
Custom dashboards for KPI monitoring and analytics

Technology Stack Requirements

Odoo ERP

Python

PostgreSQL

Odoo Cloud

System Integration Needs

Legacy data migration
Third-party financial tools
Inventory tracking hardware

Non-Functional Requirements

Scalable cloud infrastructure
User-friendly interface for diverse workforce
High system availability (99.9%)
Data security and role-based access control

Expected Business Outcomes

The ERP implementation will reduce operational costs by 25-30%, improve inventory turnover by 40%, and cut financial reporting time by 50%. Real-time data visibility will enhance decision-making, while automated workflows will increase overall productivity by 20% within the first year of deployment.