Our Case StudiesReal-Time Stock Visibility with AI-Driven Rack Monitoring
Softlabs Group developed an AI-powered inventory tracking system that automates warehouse stock monitoring. Utilizing computer vision and edge computing, it provides real-time inventory data, enhancing accuracy and operational efficiency.
Supply Chain Management
Start Up
Agile Scrum
Android
Softlabs Group, leveraging its expertise in technology solutions, has engineered the Rack Reader solution, a sophisticated system designed to revolutionize inventory management by providing accurate, real-time counts of sales and stock.
This system is particularly tailored for tracking high-demand items like cigarette packets, combining hardware and software to enhance operational efficiency and data accuracy.
UK
The AI in inventory management market is projected to grow from $7.38 billion in 2024 to $9.6 billion in 2025, at a CAGR of 30.1%.
Businesses require intelligent systems that provide real-time, accurate inventory data to optimize stock levels and reduce operational costs.
Traditional inventory tracking methods are manual, time-consuming, and prone to errors, leading to stock discrepancies and inefficiencies.
As the AI and software development partner, we built a smart inventory tracking solution designed to automate stock monitoring, reduce human error and deliver real-time visibility across large-scale warehouse environments.
The system leverages computer vision and machine learning algorithms to detect item movements, monitor stock levels and flag anomalies through live video feeds and data streams.
We developed the solution using CCTV integration, AI-powered object recognition, and a centralized dashboard that offers inventory heatmaps, alert systems and performance analytics—empowering teams to manage inventory with precision and confidence.
Manual inventory checks leading to errors
Delays in stock updates affecting order fulfillment
Lack of real-time visibility into stock levels
High labor costs for inventory management
Difficulty in tracking stock movements accurately
Implemented AI-driven computer vision for real-time monitoring
Automated inventory updates to reduce manual intervention
Deployed edge computing for instant data processing
Integrated system with existing warehouse management software
Provided dashboards for real-time inventory insights
Achieved over 98% accuracy in inventory tracking, reducing discrepancies.
Provided instant updates on stock levels, improving decision-making.
Reduced manual labor by automating inventory monitoring processes.
Designed a solution adaptable to various warehouse sizes and layouts.
Continuous tracking of inventory levels using computer vision.
Instant notifications for stock discrepancies and low inventory levels.
Insights into stock movement patterns and inventory turnover rates.
Flexible design to accommodate different warehouse configurations.
Real-time tracking and optimization of warehouse inventory movements.
Master of Code Global
Automated detection of stock levels and planogram compliance in retail.
Monitoring perishable goods to ensure optimal storage conditions.
Managing and locating materials across large construction sites.
Tracking medical supplies and equipment within healthcare facilities.
React JS
.Net Core
SQL Server
Python
OpenCV
TensorFlow
Warehouse Management Systems (WMS)
Years of Experience
Countries
Clients
Projects
At Softlabs Group, we take pride in solving complex business challenges with innovative and reliable solutions. Our case studies showcase how we’ve empowered clients across industries with tailored software that delivers measurable results and drives success.
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Developed a feature-rich app with advanced matchmaking algorithms to ensure personalised and meaningful connections.
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Senior citizens faced challenges in accessing secure loans against their properties, with complicated processes and regulatory barriers.
Built a compliant and user-friendly platform to streamline the borrowing process while adhering to legal standards.
Simplified customer experience, ensuring faster loan approvals and improved trust in the service.
Inefficiencies in managing capital project planning, including resource allocation, tracking, and execution.
Designed a dynamic planner with real-time tracking, resource allocation, and efficient project execution features.
Improved project efficiency, reduced delays, and streamlined operations, meeting project goals effectively.
Complex processes and compliance challenges in managing real estate investment trusts (REITs).
Delivered a robust platform enabling real-time data management, regulatory compliance, and efficient operations.
Enhanced operational efficiency, ensuring accurate data handling and seamless compliance adherence.
FAQs
Yes, the solution is designed for seamless integration with various warehouse management systems.
No, the edge computing setup allows for offline operation with periodic data synchronization.
The system achieves over 98% accuracy in real-time inventory monitoring.
Yes, the architecture is scalable and can be customized for warehouses of different sizes.
Minimal maintenance is needed, primarily periodic checks and software updates.
Yes, the AI algorithms can identify anomalies in stock placement and alert the management.
Deployment time varies but typically ranges from 2 to 4 weeks, depending on warehouse size.
Yes, comprehensive training sessions are conducted for warehouse staff and management.
Yes, it provides detailed reports on stock levels, movements, and trends.
Absolutely, the system can be tailored to meet specific operational requirements.
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