Our Case StudiesThe case study outlines the development of an electricity CRM software for Symbio Energy, enhancing operational efficiency in electricity distribution. It automated billing, improved data management, and increased efficiency by 34%, streamlining operations and improving compliance.
Electronics
Enterprise
Agile Scrum
Web Application
Symbio Energy, based in the UK, approached us with a need for a robust CRM and Operations Software.
Specializing in the Electricity Distribution Service, they required a solution to manage complex data flows and automate their billing processes.
India
Quarry operators and heavy-material transporters face increasing pressure to meet safety and environmental regulations.
According to a Deloitte study on AI in logistics, AI can reduce transport-related safety violations by up to 25% through automated inspection systems. Source - Deloitte AI in Logistics Report
Traditional exit inspections rely on human guards, who may miss uncovered trucks during peak hours or bad weather-resulting in regulatory fines or environmental hazards.
To close this safety gap, FP McCann partnered with Softlabs Group to develop an AI solution that could detect tarpaulin covers on moving vehicles-fully automated and real-time.
As their AI development partner, we built Cover Loads, an edge-deployed AI vision system that detects whether trucks are properly covered as they exit quarry sites.
The system uses YOLOv4-tiny object detection to identify the presence (or absence) of tarp covers and integrates with boom barrier systems to restrict unauthorized exits. A lightweight dashboard allows supervisors to review logs, alerts and flagged footage.
The AI model was optimized to handle various truck shapes, angles, and environmental conditions and deployed on-site using edge devices for real-time decisioning with no cloud dependency.
The need for manual monitoring and action on dataflow files dumped in specific directories.
Complex billing processes reliant on large-scale dataflow readings from meters and solar panels.
Requirement for experienced staff to accurately generate customer bills.
Inefficiencies in response times due to manual system interventions.
Non-compliance risks due to delayed reporting.
Absence of historical data analysis for fleet condition assessment.
Overall operational inefficiency impacting business standards.
Developed a monitor program engine to automatically scan and categorize dataflow files.
Integrated the monitor engine with the Operations Software for seamless data updates.
Automated the response mechanism for sending dataflow files to relevant stakeholders.
Enabled monthly automatic generation of customer bills considering various billing scenarios.
Employed Agile Methodology with Scrum for the project development.
Followed a test-driven approach to ensure reliability and accuracy.
Streamlined data processing to improve operational efficiency.
Significantly improved the response time of the operations department.
Enhanced the company's compliance and reporting standards.
Achieved considerable cost savings by reducing the need for experienced staff.
Increased the overall efficiency of the company by 34%.
Streamlined billing processes, reducing errors and delays.
Fostered a more reliable and transparent data handling system.
Improved the company’s reputation and reliability in the eyes of authorities and stakeholders.
A solution originally built for transport safety is now adaptable across industries:
Dataflow File Monitor and Categorization Engine
Automated Billing System
Stakeholder Response Automation
Comprehensive Data Consolidation Tool
Agile Project Management Framework
Test-Driven Development Approach
Efficiency and Compliance Reporting Tools
Preventing collisions by detecting humans and obstacles in loading zones.
Tracking real-time movement of goods, pallets and material trolleys.
Ensuring safety compliance through activity recognition and alerts.
Monitoring material flow across supply chain and dispatch routes.
Identifying risky behaviors or routes in industrial environments.
React JS
.Net
msSQL
YOLOv4-tiny
OpenCV
ONNX Runtime
Boom barriers
CCTV
Local Alarms
Years of Experienced
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.
Users needed a secure and user-friendly platform to make modern dating seamless and engaging.
Developed a feature-rich app with advanced matchmaking algorithms to ensure personalised and meaningful connections.
Enhanced user satisfaction and engagement, driving increased adoption and retention rates.
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 AI uses computer vision to detect humans in real-time and trigger safety alerts.
Absolutely, it can be integrated with both manned and unmanned vehicles for enhanced operational safety.
Yes, the system is trained to function in challenging industrial conditions using high-accuracy models.
Yes, the solution flags risky interactions and alerts operators or systems before impact.
Deployment typically takes 2–3 weeks depending on the site layout and integration scope.
Yes, it is designed to plug into existing camera feeds and safety control units with minimal disruption.
Yes, live dashboards and alerts are accessible across desktop and mobile devices.
No, the system supports edge processing and can operate offline with periodic syncing.
The system can log the event, trigger alerts and optionally halt operations via connected protocols.
Yes, the architecture supports multi-zone setups and can scale across sites or units.
© Copyright 2003 - 2025 Softlabs Technologies & Development Pvt. Ltd. All Rights Reserved.
What Our Clients Have to Say
Discover how our clients have benefited from our dedicated development services.
IT Manager, FP McCann Ltd. - UK
Operations Manager, Symbio Energy Limited. - UK
CEO, Wiseman Talent Ventures - Kenya
Sr. Manager - Research & Advanced Analytics , Arabian Research Bureau - Oman
