Our Case StudiesThe case study discusses the creation of loan recovery & credit rating software by SkyGold Taxi to address challenges in managing education loans in Zambia. The system tracks loan details, facilitates repayment, and integrates real-time credit reporting, significantly enhancing efficiency and transparency in loan management and credit assessment.
Fintech
Government
Waterfall
Web Application
SkyGold Taxi, a client in need of web application services, sought to develop a SaaS platform for investment management.
Their goal was to create a system for handling a range of investments and debts, including stocks, mutual funds, real estate and loans, with a focus on generating detailed reports for informed investment decisions.
Zambia
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.
Difficulty in accurately capturing and presenting loan details in the Zambian education loan recovery system.
Inefficient tracking of students who received loans and their repayment status post-graduation.
The existing Credit Rating System in Zambia was inadequate for capturing critical credit information efficiently.
Challenges in creating effective repayment schedules and facilitating employer-based loan repayment.
Lack of a comprehensive system to manage and report educational loan data.
Developed an Educational Loan Recovery System to track loan details and create repayment schedules.
Enabled employer-based loan repayment calculation for deduction from employee salaries.
Updated the system with every repayment, providing real-time loan balance status.
Integrated loan details with individual credit reports for accurate credit status appraisal.
Implemented a comprehensive Credit Rating Software for real-time financial assessments.
Streamlined the entire process of educational loan applications, disbursals, recovery, and credit management.
Enabled comprehensive reporting of educational loans, student details, and repayment methods.
Significantly reduced losses incurred from untracked disbursed loans.
Enhanced government control over funding loans to new students.
Improved business efficiency of financial institutions by 45% in assessing loan applications.
Facilitated real-time credit ratings for individuals and companies.
Improved transparency and efficiency in the credit assessment process.
A solution originally built for transport safety is now adaptable across industries:
University, College and Student Management
Course and Loan Applications Management
Loan Disbursement and Recovery Processes
Employer and Employee Management for Salary-based Loan Recovery
Credit Rating Module with Financial Institutions Management
Real-time Loan and Credit 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.
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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
