SRM Marketing

AI-Powered Inventory & Supplier Relationship Management System

Manufacturing

Overview

SRM Marketing LLP operates across multiple factories and warehouses globally, requiring precise inventory management and supplier relationship workflows. Previously, inventory tracking was largely manual, which caused inefficiencies in barcode handling, product identification, and data management.

To address these issues, iBirds Software Services developed a custom web application that leverages AI-powered image recognition and real-time inventory tracking. The solution included a mobile-compatible barcode scanner, OpenAI Vision API integration for image-to-text extraction, and multi-level warehouse management (Factory → Warehouse → Rack).

The system ensures secure, role-based access and provides comprehensive visibility into product flow, boosting efficiency, accuracy, and supplier coordination.

Technologies Used

Frontend: React.js
Backend: Node.js
Database: PostgreSQL
Deployment: AWS EC2
AI Integration: OpenAI Vision API

Key Challenges

  1. Barcode Scanning Limitations – Needed a mobile-compatible barcode scanner that could work directly through the device camera.

  2. AI-Driven Data Extraction – Required highly accurate image-to-text extraction for product details (name, brand, description).

  3. Large-Size Image Handling – Difficulty in managing and storing bulk image uploads without slowing down the system.

  4. Global Inventory Visibility – Needed structured tracking across factories, warehouses, and rack-level storage.

  5. User Permission Control – Required a secure, role-based system with layered access for different users.

Implementation by iBirds

iBirds designed and delivered a robust AI-powered inventory management system with the following key features:
Role-Based CRM System

  • Implemented a user hierarchy: Super Admin, Admin, and User.

  • Super Admins gained complete control with the ability to monitor live activities.

Multi-Level Inventory Tracking

  • Configured tracking across Factory → Warehouse → Rack levels.

  • Enabled granular visibility into product movement and storage.

AI Integration for Product Data

  • Integrated OpenAI Vision API to automatically extract:

    • Product Name

    • Description

    • Brand/Company Details

  • Reduced dependency on manual data entry.

Barcode Workflow Optimization

  • Developed a mobile-compatible barcode scanner using device cameras.

  • Enhanced efficiency of check-in/check-out workflows.

Real-Time Operations

  • Built features for product check-in and check-out with instant inventory updates.

  • Real-time dashboards provided live calculations of stock movement.

Advanced Filtering & Reports

  • Integrated custom filters across all modules: Factories, Warehouses, Racks, Products, Categories, Inventories, and Users.

  • Designed comprehensive reports for better decision-making.

Outcomes & Impact

  • AI-Powered Accuracy: OpenAI Vision API reduced manual errors by automating product identification.

  • Faster Operations: Mobile barcode scanner streamlined stock check-in/check-out across multiple locations.

  • Centralized Visibility: Multi-level inventory tracking improved control across global factories and warehouses.

  • Efficient Storage: Optimized handling of high-volume product images ensured smooth system performance.

  • Secure Access: Role-based permissions protected data integrity and streamlined workflows.

  • Enhanced Supplier Management: Real-time updates and structured product tracking strengthened supplier relationships.

Conclusion

By implementing a custom AI-powered inventory management system, iBirds enabled SRM Marketing LLP to achieve global inventory visibility, faster operations, and enhanced supplier relationship management. The system combined barcode scanning, AI-driven product data extraction, multi-level warehouse tracking, and real-time dashboards into a single, scalable platform. This project demonstrates iBirds’ expertise in building AI-integrated enterprise systems, delivering measurable efficiency gains for the manufacturing sector.
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