Post Category: Case Study

Sea Freight Logistics Digital Transformation: A Case Study

Posted on by Layana Chandran

Executive Summary

Automate sea freight logistics with digital solutions. Faster quotes, real-time tracking & warehouse optimisation boost efficiency & customer satisfaction.

A global sea freight provider struggled with inefficiencies caused by outdated manual processes. Manual quotation and booking procedures frustrated customers and led to lost business, while paper-based warehouse inspections caused errors, misplaced records, and shipment delays. To resolve these issues, we developed a web dashboard for automated quotations and bookings and a warehouse tablet & Mobile application that digitised inspections and synchronised data in real time. These solutions improved efficiency, streamlined operations, and enhanced customer satisfaction. 

Client Challenges

The client faced multiple operational hurdles. Customers endured long response times due to manual data entry, often waiting up to three days for pricing confirmation. The system required staff to manually verify shipment weight, distance, and surcharges, slowing down processing. Inefficient warehouse synchronisation caused delays, as data updates took over 90 seconds due to an outdated batch processing API. Paper-based warehouse inspections led to frequent errors, misplaced shipments, and discrepancies in cargo records. In one case, incorrect documentation caused a shipment of electronics to be misrouted. 

Another major issue stemmed from the lack of real-time shipment tracking. Customers received weekly email reports instead of instant updates, leading to frustration and a 40% increase in support inquiries. Warehouse staff also struggled with unstable network conditions, which caused inspection data to be logged incorrectly or lost. Additionally, inconsistent data between the warehouse management system and the freight database required manual reconciliation, creating further inefficiencies. 

Project Details

Between November 2020 and April 2021, we partnered with the client to develop a web-based application and an iOS app. The backend leveraged PHP Yii2 Framework and MySQL, while the frontend used jQuery and JavaScript. We also built the mobile application using Flutter for iPads. The solution provided an SME-friendly platform with scalable options for future growth.

Aspect Details 
Service Web-Based Application and iOS App 
Technology Backend: PHP Yii2 Framework, MySQL, Flutter (for iPad application) Frontend: jQuery, JavaScript 
Period November 2020 to April 2021 
Budget Designed to be SME-friendly with scalable options for future growth 

Why the Client Chose Us

The client sought a partner with expertise in real-time digital logistics solutions and integrated data management. Our success in freight automation and warehouse optimisation convinced them that we could deliver a robust and scalable solution. See our services.

Solution Implementation

To modernise logistics operations, we created a web-based automated quotation system and a warehouse tablet application. We optimised the backend with RESTful APIs for faster communication, while the mobile app provided warehouse staff with a seamless user experience.

The automated quotation system allowed customers to generate instant quotes with just a few clicks, significantly reducing wait times. The digital warehouse inspections replaced manual record-keeping with RFID and barcode scanning, cutting misplacements by 80% and increasing warehouse efficiency by 25%. We optimised data synchronisation by transitioning from batch processing to an event-driven microservices architecture, reducing sync time from 90 seconds to under three seconds. 

For real-time cargo tracking, we integrated GPS-enabled fleet monitoring, ensuring customers received live updates and reducing customer support queries. To address network instability, we implemented local storage caching, allowing warehouse staff to capture data even in low-connectivity environments, with automated synchronisation upon reconnection. Edge computing further reduced server load by 40% and cut API response times by 60%. 

Business Impact & Results

The transformation delivered measurable improvements across all key areas. The quotation process, which previously took three days, now completes in under 10 seconds, boosting order conversions by 70%. Real-time warehouse synchronisation eliminated manual data entry and reduced discrepancies by 90%. Digitising warehouse tracking minimised cargo misplacement by 85%. Server and caching enhancements improved website load times from over five seconds to under one second. Automated reconciliation reduced manual data corrections by 75%. Faster bookings and real-time tracking increased customer retention by 35%, driving repeat business. 

Lessons Learned

This project reinforced the importance of automation in logistics operations. Instant quotations enhanced competitiveness by reducing customer delays and increasing conversions. Warehouse digitisation significantly minimised errors, with barcode scanning dramatically improving tracking accuracy. Transitioning to event-driven APIs resolved inconsistencies between warehouse operations and shipment tracking, enabling real-time data flow. Additionally, the need for offline capabilities became clear, as many warehouse locations operate in low-connectivity environments, making robust offline storage crucial for operational continuity. 

Future Enhancements

To further optimise logistics efficiency, the next development phase will introduce automated route optimisation, allowing real-time adjustments to reduce fuel consumption and delivery delays. Predictive freight demand analysis will use historical shipment data to forecast trends and optimise capacity planning. We also plan to expand mobile capabilities, enabling port managers to track inbound shipments and automate customs clearance. IoT sensor integration will further enhance shipment monitoring by tracking temperature and humidity conditions inside shipping containers. 

Conclusion: The Future of Digital Sea Freight

By automating quotations, bookings, and warehouse tracking, we helped the client achieve seamless logistics management, reduce overhead costs, and improve the customer experience. To remain competitive in the sea freight industry, investing in automation, real-time data processing, and advanced logistics intelligence is essential.

If outdated processes are slowing down your logistics, it’s time for a digital transformation. Agile Cyber Solutions specialises in automation, real-time tracking, and seamless warehouse management to enhance efficiency and reduce delays. Let us help you optimise your operations—contact us today to get started.

Project Efficiency: Scalable Project Management Solution

Posted on by Layana Chandran

Client Overview

Boost project efficiency with a scalable management solution. Discover how ACS improved workflows, real-time collaboration & security for 5,000+ users.

A mid-sized Australian professional services firm faced persistent project management inefficiencies due to fragmented tools and a lack of structured processes. Their existing system resulted in delays, miscommunication, and challenges in tracking project progress. Seeking a scalable and efficient solution, they partnered with Agile Cyber Solutions (ACS) to transform their project management approach.

Project Details

From December 2021 to July 2022, ACS worked closely with the client to develop a customised project management platform. The solution incorporated web app development, AI integration, and UX optimisation, all while ensuring the budget remained SME-friendly with scalable options for future growth.

Aspect Details 
Services Web app development, AI integration and UX optimisation. 
Period December 2021– July 2022. 
Budget Designed to be SME-friendly with scalable options for future growth. 

Challenges Faced

The client struggled with the absence of a centralised system for tracking projects and tasks. Communication breakdowns often led to misalignment, while the lack of real-time updates made it difficult to monitor progress. Managing interdependent project hierarchies proved complex, and limited integration with essential productivity tools further hindered efficiency.

Project Scope & Objectives

ACS aimed to develop a robust project management solution tailored to the client’s specific needs. Key objectives included implementing a centralised dashboard for comprehensive project tracking, structuring task management with clear dependencies, and enabling real-time collaboration to improve team communication. Seamless integration with third-party applications and role-based access controls for enhanced data security were also prioritised.

Solution Delivered

ACS built a scalable and intuitive project management platform, featuring a React-based user interface for seamless navigation. The system supported hierarchical task structuring, ensuring clear dependencies and ownership. Visual tracking was enhanced through Kanban and Gantt chart views, while customisable workflows allowed flexibility in aligning operations with business needs.

To foster real-time collaboration, the platform included instant notifications, reminders, and secure file-sharing capabilities. The backend, powered by Node.js and a MongoDB database, was optimised for performance and scalability, enabling efficient data retrieval and minimal server load. Agile workflow tools such as sprint planning, backlog management, and drag-and-drop task prioritisation streamlined operations. Automated reports provided critical insights into project health and team performance.

Security and compliance remained a top priority. The platform featured OAuth-based authentication, data encryption, and API integrations with tools like Slack, Jira, and Google Drive, ensuring adherence to Australian data security regulations.

Implementation & Adoption

ACS adopted a phased deployment approach to ensure a smooth transition with minimal disruption. Comprehensive training sessions facilitated team onboarding, driving adoption and familiarity with the new system.

Results & Business Impact

The implementation led to a 35% increase in efficiency by streamlining workflows and reducing project delays. Real-time collaboration tools improved coordination, while built-in task discussions and updates enhanced communication. The scalable system successfully supported over 5,000 active users, achieving full company-wide adoption across all operational departments within six months.

Conclusion

By addressing the client’s project management challenges, ACS delivered a powerful, scalable solution that significantly improved operational efficiency. The integration of structured workflows, enhanced communication, and essential productivity tools transformed the client’s approach to project management. ACS remains committed to ongoing support and continuous platform enhancements, ensuring it evolves in alignment with the client’s growth and future business needs.

Facing project management challenges? Agile Cyber Solutions builds scalable, efficient solutions to streamline workflows, enhance collaboration, and integrate essential tools. Contact us today to transform your operations and drive success.

Survey Management: Automating & Revolutionising Surveys

Posted on by Layana Chandran

Executive Summary

Revolutionising survey management with automation. Scalable, secure, and AI-ready survey app enhances efficiency, compliance, and data-driven decision-making.

The Survey App is a sophisticated, web-based platform that streamlines survey creation, distribution, and analysis. By reducing manual effort and providing real-time insights, it helps businesses make informed decisions. With role-based access control, the Super Admin oversees surveys across organisations, the Client Admin manages surveys within their team, and Responders complete surveys while tracking their scores.

We built the platform using Yii2 (PHP) and Angular, leveraging Docker and microservices for scalability. This approach ensures security, efficiency, and flexibility. Its multi-tenant architecture, dynamic survey logic, and real-time reporting empower businesses to automate surveys, improve compliance, and make data-driven decisions.

The Client and Their Challenges

The client needed an efficient survey management platform to handle compliance and data collection. Their existing tools lacked reusability, forcing them to recreate similar surveys repeatedly. They required intelligent question flows where responses determined subsequent questions, ensuring complex survey logic. Data security and multi-tenant access were also essential, allowing controlled access while keeping company data separate. Limited reporting features made decision-making difficult due to the absence of custom analytics and export options.

Project Details

We developed a web-based application using Yii2 (PHP Framework) for the backend, Angular for the frontend, Docker for infrastructure, and microservices for scalability. The project ran from September 2021 to June 2022, designed as an SME-friendly solution with scalable options for future growth.

Aspect Details 
Service Web-Based Application 
Technology Yii2 (PHP Framework), Angular (Frontend), Docker (Infrastructure), Microservices (Architecture) 
Period September 2021 to June 2022 
Budget Designed to be SME-friendly with scalable options for future growth 

Why They Chose Us

The client needed a cost-effective, user-friendly survey solution with custom reporting and automated compliance tracking. Unlike generic survey tools, our bespoke platform eliminated manual work, improved efficiency, and aligned with their specific needs. Our focus on security, user experience, and rapid deployment made us the ideal partner.

The Solution

To address the client’s challenges, we developed a tailored web-based application with custom features. Smart survey templates enabled users to create and reuse surveys with dynamic logic, significantly improving efficiency. Dynamic survey logic adjusted surveys in real time based on previous answers, enhancing data accuracy and user experience.

To ensure data security and multi-tenant access, we built the platform with a multi-tenant architecture that securely isolated company data. Role-based access control (RBAC) allowed administrators to configure permissions and manage user access, enhancing security and compliance. For reporting and data export, we integrated real-time dashboards that provided instant survey results. Businesses could export reports in PDF and Excel formats, making data sharing, analysis, and tracking more efficient.

Technology Stack & Benefits

We chose Yii2 for the backend due to its robust security features and structured architecture, which supported dynamic survey logic and complex user roles while enabling fast data handling and real-time updates. Angular powered the frontend, creating dynamic, interactive user interfaces that ensured seamless real-time updates for survey responses. A microservices architecture decoupled survey management, reporting, and analytics services, allowing each to scale independently. Docker containerisation streamlined deployment, ensuring services operated efficiently based on demand.

Key Features Implemented

We introduced role-based access control, allowing Super Admins to manage companies, users, and permissions, while Client Admins handled survey creation, management, and reporting. Responders completed surveys and tracked their progress. Smart survey logic enabled dynamic question progression based on responses, with reusable templates speeding up survey creation. A secure, scalable multi-tenant system ensured strict data isolation and granular access control for user permissions. Advanced reporting and analytics provided real-time data dashboards and exportable reports in PDF and Excel formats.

The Results

Businesses conducted over 100 surveys, transitioning from manual to automated processes and saving significant time. Automation reduced manual effort by 75%, freeing up resources for strategic tasks. Built-in compliance tracking ensured businesses adhered to regulatory requirements. More than 50 companies adopted the solution, benefiting from its multi-tenant structure, which maintained strict data separation. Enhanced reporting capabilities improved decision-making, with over 90% of users reporting better insights from automated reports.

Lessons Learned

Scalability played a crucial role, with Docker and microservices enabling smooth growth and updates. A user-friendly experience drove adoption, as an intuitive, easy-to-navigate dashboard improved engagement and productivity. Role-based access control strengthened security, reducing the risk of data mishandling and unauthorised access. Reusable survey templates accelerated survey creation, boosting operational efficiency.

Next Steps

We plan to enhance the platform by incorporating AI-powered insights for deeper data analysis. Expanding third-party integrations with business intelligence and compliance tools will provide a more connected experience. We also aim to introduce additional customisation options for survey design and report formats, ensuring flexibility for diverse client needs.

Final Thoughts

Our Survey App empowers businesses to save time, reduce manual work, and make better data-driven decisions. With scalability, automation, and security at its core, the platform evolves alongside businesses, ensuring continued value. Ongoing updates and user feedback drive our commitment to improvement.

If you’re looking for an efficient and scalable survey management solution, our platform offers a seamless, automated approach to survey creation, distribution, and analysis, helping you save time and enhance decision-making. Get in touch with us today for a demo and discover how our solution can revolutionise your survey process.

Offline First Asset Management App | Organise Your Things

Posted on by Layana Chandran

Overview

Offline-first asset management app with smart sync, seamless collaboration, and real-time-like updates. Organise, track, and share items anytime, anywhere.

“Organise Your Things” is an offline-first asset management app that helps users categorise, manage, and track personal and shared items. Unlike cloud-dependent organisational apps, this solution allows users to function without internet access, requiring a connection only for sharing items with others.

The project aimed to provide a simple yet structured way for users to organise their belongings under predefined and custom categories, attach documents, set reminders, and collaborate securely. However, ensuring a smooth offline experience with seamless data synchronisation and real-time sharing when online presented a major challenge. This case study explores how we designed, tested, and refined the offline-first asset management app based on real user feedback and the impact it had on the end-users.

Project Details

The project involved web and mobile app development, AI integration, UX optimization, and content management. Development took place from January 2018 to February 2023. The budget supported SMEs with scalable options for future growth.

Aspect Details 
Services Web and mobile app development, AI integration, UX optimization, content management. 
Period January 2018 – February 2023. 
Budget Designed to be SME-friendly with scalable options for future growth. 

Key Features

The offline-first asset management app offers full offline functionality, enabling users to add, edit, and manage items without internet access. Users can categorise their belongings using predefined options like Transport, Personal, and Construction, or create custom categories. They can attach images, descriptions, sub-items, documents, tasks, reminders, and notes to each item. For Transport category users, the app fetches vehicle data via an API when a network is available. Collaboration features allow users to connect and share items with View/Edit access permissions, while the system queues and delivers notifications when recipients come online. All offline changes sync automatically once the network reconnects.

Problem Statement

Most organisational apps require constant internet access, making them impractical for users in low-connectivity areas or those who prefer local storage over cloud-based services. Users needed a system that could store and manage items offline without data loss, allow smooth collaboration without requiring simultaneous online access, retrieve transport-related details dynamically when online without unnecessary manual entry, and handle delayed notifications and conflict resolution for shared offline updates. The major challenge involved providing real-time-like collaboration while maintaining offline functionality.

The Client and the Challenges

Field professionals, small businesses, and individuals who need to organise their assets without stable internet access benefitted from this offline-first asset management app. Early adopters included construction site managers tracking equipment and assigning tasks, vehicle owners storing transport details, and personal users managing offline inventories.

Ensuring seamless offline functionality while avoiding sync conflicts required a robust solution. We developed a local-first database architecture using IndexedDB and SQLite with a sync queue system to efficiently manage synchronisation. Sharing and notifications posed another challenge since users could send sharing requests offline, but notifications had to be delivered when both users were online. To address this, we implemented a background process that queued notifications and sent updates automatically when users reconnected.

To avoid unnecessary API calls and slowdowns, the offline-first asset management app used smart caching so previously fetched vehicle data remained accessible offline. Conflict resolution for shared items was another challenge, particularly when two offline users edited the same item. We implemented a version-tracking system with a “last edit wins” model and notified users if their changes were overwritten.

Why Choose Our Solution?

This offline-first asset management app stands out due to its 100% offline functionality, eliminating the need for a login or internet access unless users share items. The smart background sync ensures automatic data updates, removing the need for manual refreshes. Granular sharing permissions give users precise control over who can view or edit items. Optimised API usage reduces bandwidth consumption by fetching data only when needed. See Our Services.

Technology Stack

We built the frontend using Flutter for both mobile and web platforms. The backend runs on Node.js, while the database relies on Neo4j. Firebase handles the sync mechanism, and local authentication includes periodic online validation. A transport API fetches vehicle data when online.

What We Learned

Developing an offline-first asset management app required rethinking traditional assumptions about constant server access. We designed an efficient local database structure that prioritised fast read/write operations. Users expected real-time-like behaviour even when offline, so we created a queue system that mimics real-time updates without requiring continuous connectivity. To ensure transparent conflict resolution, we introduced a change log that allows users to review modifications and track overwritten data.

The Results

Early testing showed significant improvements: Data entry speed increased by 40% compared to cloud-based competitors that require constant internet connectivity. Sync errors dropped by 80% after implementing queue-based syncing. Beta users provided 90% positive feedback on the app’s offline usability. Collaboration became three times faster than manual data-sharing methods.

User Testimonials

Users provided overwhelmingly positive feedback, highlighting the app’s convenience. A construction manager praised the app for eliminating concerns about losing data access when working on-site. A vehicle owner appreciated the time-saving vehicle lookup feature, and a personal user found the offline document storage invaluable for managing invoices and warranties.

Next Steps

Our future roadmap includes AI-powered merge suggestions for conflict resolution when multiple users edit the same offline item. We plan to expand API integrations beyond transport to include property, electronics, and other asset categories. We also aim to introduce offline-first messaging to enable message sharing between connected users without immediate internet access. Mobile and desktop syncing will be enhanced for seamless transitions between platforms.

Conclusion

“Organise Your Things” successfully delivers an offline-first asset management app, ensuring users can work without internet dependency. With structured categorisation, smart sync logic, and role-based sharing, the app fills a crucial gap for users requiring reliable offline organisation. Unlike traditional cloud-dependent tools, this application provides true freedom and flexibility, making it an ideal solution for professionals and individuals alike.

Looking for a reliable offline-first asset management app to keep your data accessible anytime? Whether you’re managing inventory or organizing personal assets, we provide seamless, secure solutions tailored to your needs. Contact us today to see how “Organise Your Things” can work for you!

AI-Driven Vehicle Maintenance System : Automated Service Alerts

Posted on by Layana Chandran

Introduction

AI-driven vehicle maintenance system fetches data via API, sends automated service reminders, reduces breakdowns, and improves vehicle longevity.

Vehicle owners often forget important service dates, which, according to the National Highway Traffic Safety Administration (NHTSA), contributes to nearly 20% of vehicle breakdowns. As a result, maintenance costs increase, and safety risks become more significant. To address this issue, we developed an AI-driven solution that not only fetches vehicle details from the registration number via an API but also uses artificial intelligence to send timely service reminders. Consequently, this system optimises maintenance schedules and extends vehicle longevity.

Project Details

Aspect Details 
Services Web and mobile app development, AI integration, UX optimization, content management. 
Period January 2024 – October 2024. 
Budget Designed to be SME-friendly with scalable options for future growth. 

Problem Statement

Traditional vehicle maintenance tracking relies heavily on manual efforts. As a result, many owners miss service deadlines, leading to inefficient schedules and unexpected breakdowns. To solve this problem, we needed to automate vehicle detail retrieval and integrate AI-driven notifications for timely servicing. By doing so, we could ensure that vehicles remain in optimal condition while reducing the likelihood of costly repairs.

Solution Overview

Our AI-powered system offers a seamless way to track vehicle maintenance. First, it fetches vehicle details from a government or third-party API using the registration number, ensuring real-time and accurate data retrieval. For instance, the system integrates with the UK’s DVLA API and India’s Vahan API to pull necessary vehicle information. Next, it analyses the make, model, and maintenance history to determine when the next service is due. Finally, automated notifications are sent through SMS, email, or in-app alerts before the due date, helping users stay on top of their maintenance schedules.

Implementation

To begin with, the system retrieves vehicle details by calling an API with the registration number. It then fetches key data, including make, model, year, fuel type, last service date, and mileage. This information is stored in a centralised database, making tracking and analysis more efficient. As the service due date approaches, AI-powered scheduling triggers reminders. In addition, notifications are sent through multiple channels. For example, emails provide detailed service information, while in-app alerts offer personalised recommendations. As a result, vehicle owners receive timely and relevant reminders, reducing the risk of missed maintenance.

Technologies Used

For efficient data retrieval, the system integrates with RESTful APIs. Additionally, it utilises SendGrid for email notifications and Firebase for push notifications, ensuring reliable message delivery. On the frontend, Flutter is used to create a smooth experience across both mobile and web platforms. Meanwhile, the backend is powered by Node.js, which ensures scalability and fast processing. Furthermore, all vehicle data is stored in Neo4j, enabling efficient tracking and retrieval of maintenance records.

Benefits

This AI-driven solution offers several advantages. Firstly, automated tracking eliminates the need for manual service monitoring. Secondly, regular maintenance improves vehicle health and reduces repair costs. Moreover, personalised reminders enhance the user experience, keeping customers well-informed. Lastly, preventive maintenance lowers long-term expenses, making vehicle upkeep more cost-efficient for owners.

Conclusion

By combining API integration with AI-powered reminders, this system significantly improves vehicle maintenance management. In fact, early trials in fleet management have shown a 30% reduction in overdue maintenance cases. As a result, vehicles last longer, and owners save money on unexpected repairs. AI’s predictive capabilities ensure timely service, reducing breakdown risks and enhancing overall efficiency. Ultimately, this solution transforms traditional vehicle servicing into a smart, automated experience that benefits both individuals and businesses alike.

Enhance vehicle maintenance with our AI-driven system that automates service tracking, reduces breakdown risks, and optimises schedules. Whether you’re an individual, fleet manager, or service provider, our solution ensures efficiency and cost savings. Contact us today for a demo and simplify vehicle maintenance.

AI-Powered Solution for Categorisation and Secure Data Sharing

Posted on by Layana Chandran

Overview

AI-powered solution for inbox categorisation & secure data sharing. Boost efficiency, automate tasks & cut costs with intelligent role-based access.

In today’s fast-paced digital world, businesses handle vast amounts of data daily. Managing and categorising this information efficiently is a significant challenge, especially for enterprises looking to streamline operations without exceeding their budgets. We collaborated with a mid-sized enterprise to develop an AI-powered solution designed to simplify inbox categorisation and enable secure data sharing with role-based access. This case study explores the challenges faced, our innovative approach, the solution we built, and the impact it had on the client’s business.

Project Details

To address the client’s challenges, we designed and implemented a comprehensive solution leveraging AI for intelligent inbox categorisation and role-based data sharing. The project aimed to deliver a cost-effective, scalable, and user-friendly platform accessible on mobile and web platforms. The scope included integration with existing systems, a robust security framework, and real-time AI suggestions. 

Aspect Details 
Services Web and mobile app development, AI integration and UX optimisation. 
Period January 2023 – November 2024. 
Budget Designed to be SME-friendly with scalable options for future growth. 

The Client and Their Challenges

The client, a growing mid-sized enterprise, needed a better way to manage large datasets and improve collaboration among teams. Speed and accuracy in data categorisation were critical for decision-making, yet their existing processes relied heavily on manual data tagging. This resulted in delays, inconsistencies, and inefficiencies.

Sharing categorised data among teams also proved to be a challenge. The client lacked a sophisticated yet easy-to-use permission system that would allow for secure and flexible data access. Security concerns were a major factor, as sensitive information needed to be protected while remaining accessible to authorised personnel.

Budget constraints further complicated the situation. The client required an advanced solution that was both high-quality and cost-effective, ensuring that innovation was not sacrificed for affordability.

Why Our Solution?

Our expertise in AI-powered solutions made us the ideal partner for this project. By understanding the client’s needs and constraints, we delivered a solution that automated data categorisation with high accuracy, enabled secure role-based data sharing, integrated seamlessly with both mobile and web platforms, and was delivered on time and within budget.

The Solution

The AI-powered solution was designed to intelligently analyse incoming data and automatically sort it into relevant categories. For example, a property listing document containing terms such as “sale price,” “square footage,” and “address” would be classified under “Real Estate,” while a project proposal mentioning “Budget Breakdown,” “Milestones,” and “Deliverables” would be sorted into “Business Planning.” Similarly, invoices containing fields like “Amount Due,” “Due Date,” and “Client Name” would be placed in “Financial Records.”

Beyond basic categorisation, the system also introduced document association. Uploaded documents were analysed and linked to corresponding categories, reducing the need for manual input. A file titled “Monthly Electricity Bill,” for example, would automatically be placed under “Utilities,” while tax-related documents referring to “Income Statement” and “Deductions” would be stored in the “Tax Documents” category.

To enhance accuracy, the AI model continuously learned from user feedback. If a document was incorrectly categorised and manually adjusted, the AI adapted its logic to prevent similar errors in the future, ensuring a system that became more precise over time.

Secure role-based data sharing was another key feature of the solution. Users could define access levels for shared data, controlling whether a file could be viewed, edited, or deleted. To further enhance security, all data-sharing processes were encrypted, protecting sensitive information during both transmission and storage. Additionally, a comprehensive audit trail provided transparency by tracking who accessed or modified data and when these actions took place.

Key Takeaways

Throughout this project, several important lessons emerged. Developing the solution with direct input from users ensured that it effectively addressed real-world challenges. Post-deployment monitoring and feedback played a crucial role in refining AI performance, allowing continuous improvement based on actual usage patterns. Scalability was another essential factor, as the solution was designed to grow alongside the client’s evolving needs without requiring major overhauls.

The Results

By automating categorisation, the AI-powered solution significantly improved efficiency, reducing manual effort by 70 percent. This allowed the client’s operations team to process 2,000 documents in a single month with minimal manual intervention, compared to just 600 documents previously.

Collaboration within the organisation also improved. The secure, role-based sharing system enabled teams to work together more effectively while maintaining data integrity. Before implementation, only 50 percent of shared documents reached the intended recipient without further corrections. After deploying the new system, that figure rose to 85 percent.

Cost savings were another clear benefit. The client reported a 25 percent reduction in operational costs in the first quarter after deployment, demonstrating that AI-powered solutions can be both high-quality and cost-effective, even for SME clients.

User feedback was overwhelmingly positive, with employees praising the system’s ease of use and intelligent automation. One team member commented that they had “saved countless hours that we can now dedicate to strategic initiatives.”

What’s Next?

Future enhancements will further expand the solution’s capabilities. The next phase will introduce advanced analytics to provide actionable insights into data usage trends, helping the client measure efficiency gains and identify areas for further improvement. Plans are also in place to integrate multilingual AI support, making the platform more accessible for a global user base.

Additional third-party integrations with tools such as CRMs and project management software will streamline workflows and enhance overall functionality. To accommodate the client’s continued growth, scalable infrastructure improvements will ensure the system remains efficient and responsive as the user base expands.

Conclusion

The AI-powered solution for categorisation and data sharing transformed the client’s data management processes. By automating categorisation, enabling secure collaboration, and delivering a cost-effective platform, the solution exceeded expectations. The improvements in productivity, accuracy, and security demonstrated the value of AI-driven innovation in solving complex business challenges efficiently.

With future updates planned for analytics, multilingual support, and third-party integrations, the solution is set to provide even greater value in the long run. This project highlights how AI can simplify data management while remaining accessible and affordable, proving that businesses of any size can leverage cutting-edge technology to enhance their operations.

Struggling with data management and secure collaboration? Our AI-powered solutions streamline operations, enhance efficiency, and improve security—all within budget. Contact us now to discover how AI can transform your business.

Enhance Governance Risk Management | Ricknetic Case Study

Posted on by Layana Chandran

Executive Summary

Enhance governance risk management with Risknetic. Modernised UI, real-time tracking, automation & multi-language support boost efficiency & compliance.

The Environmental Social Action Plan (ESAP), also known as the Risknetic Platform, tracks and manages governance risks while enabling users to take informed actions. This platform supports Portfolio Managers and Investment Teams in monitoring risks and actions, while Client Admins and Client Managers create and manage projects, risks, and corrective actions efficiently.

The existing system needed modernisation to enhance its functionality, automation, and user experience. By rebuilding the system, we significantly improved real-time risk tracking, multi-language support, role-based access control, and bulk data management. This case study highlights the transformation of ESAP and the tangible benefits it delivered.

Project Overview

This project focused on optimising a web application and improving its UI/UX. The technology stack included AngularJS and Yii2. The project ran from January 2020 to January 2021, with a budget designed to be SME-friendly while allowing scalability for future growth.

Aspect Details 
Service Web App and UI/UX Optimisation 
Technology  AngularJS and Yii2 
Period January 2020 – January 2021 
Budget Designed to be SME-friendly with scalable options for future growth.  

The Client and Their Challenges

The client, responsible for managing governance risks and compliance across diverse portfolios and investments, faced multiple operational challenges. The previous system lacked efficiency and responsiveness due to outdated technology, resulting in sluggish performance and a suboptimal user experience.

Portfolio Managers and Investment Teams struggled to access real-time updates on risks and actions, leading to delays in decision-making and operational inefficiencies. Additionally, the legacy system lacked multi-language support, limiting accessibility for a diverse user base.

Role-based access control restricted administrators from configuring dynamic access permissions. The reliance on manual reporting slowed governance risk assessments, increasing errors and inefficiencies. Automation was essential to streamline reporting and improve overall accuracy.

Why They Chose Us

The client selected our team because of our expertise in developing scalable, user-friendly risk management platforms. Our approach prioritised automation, customisation, and enhanced tracking capabilities, ensuring a more efficient and intuitive system. See Our Services

The Solution

To address these challenges, we modernised and automated the system with key enhancements. We rebuilt the entire system to improve speed and user interaction, introducing an intuitive, dashboard-based UI for seamless navigation and risk tracking.

We developed a dashboard for instant monitoring of risks and actions, allowing Portfolio Managers and Investment Teams to track risk status updates in real time.

We integrated a dynamic language preference system, enabling users to switch languages effortlessly. Role-based access control received significant upgrades, offering more flexible role assignments and strengthening security protocols to ensure appropriate access levels for all users.

To eliminate time-consuming manual data entry, we implemented bulk upload capabilities, allowing administrators to import multiple risks and actions in a single operation. These improvements drastically reduced dependency on manual reporting.

Implementation Challenges and Solutions

One of the main challenges involved resistance to new technology, as some users hesitated to transition to the new system. We addressed this by conducting hands-on training sessions, helping users become familiar with the new UI and workflows.

Ensuring data integrity during migration posed another challenge, requiring robust data validation and backup protocols to prevent loss or corruption. Language compatibility issues also emerged when some translated text did not fit within UI constraints. We optimised the UI to accommodate variable text lengths, maintaining consistency across languages.

Results That Speak

Within six months of deployment, the platform delivered measurable improvements. Efficiency increased by 35% due to faster risk tracking and action management. Automated bulk uploads reduced manual reporting effort by 50%. Response times improved by 40% with real-time tracking, enabling quicker decision-making. The enhanced UI and role-based access control contributed to an 85% user adoption rate.

Lessons Learned

User training played a crucial role, with early engagement and training sessions ensuring a smooth adoption process. Customisation significantly influenced user satisfaction, as allowing clients to tailor dashboards and workflows led to higher adoption rates. Scalability emerged as an essential factor, with a flexible architecture supporting future system enhancements and ensuring longevity.

Next Steps

Future plans for the platform include integrating AI-driven risk prediction, using machine learning models to proactively predict and mitigate risks. Advanced reporting and analytics will provide customisable dashboards for deeper insights into governance risks and compliance trends. Additional regional language support will further enhance accessibility for a broader user base.

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Boost Logistics Efficiency – A Case Study in Operational Efficiency

Posted on by Layana Chandran

Executive Summary

Boost logistics efficiency with AI-powered automation. Improve query resolution by 30%, cut manual work by 45%, and enhance shipment tracking for better CX.

A logistics company faced increasing inefficiencies in handling customer queries and tracking shipments, resulting in delays and administrative burdens. Customers struggled to receive timely responses, while support teams were overwhelmed with repetitive tasks. To resolve these challenges, a smart, automated solution was needed to manage queries efficiently, provide real-time shipment updates, and allow better administrative oversight.

To address these issues, we developed a mobile app for end-users and a bespoke dashboard for administrators. The integration of automated query management and live chat support led to a 30% improvement in query resolution times, a 20% increase in customer satisfaction, and a 45% reduction in manual administrative processes. Within six months, the company transformed its logistics workflow into a highly automated and scalable system, significantly reducing human effort while enhancing operational efficiency.

Project Overview

The project focused on mobile and web application development, utilizing Flutter and WordPress technologies. Implementation took place from January 2021 to September 2021 with a budget designed to be SME-friendly while ensuring scalable options for future growth.

Aspect Details 
Service Mobile App and WebApp 
TechnologyFlutter and WordPress 
Period January 2021 to September 2021 
Budget Designed to be SME-friendly with scalable options for future growth.  

Challenges Before Implementation

One of the primary challenges was delayed customer query resolution, where customers had to wait several hours or even days to receive responses regarding shipment updates, delivery timeframes, and general inquiries. Additionally, inefficient manual query handling meant that support teams processed every query manually, leading to high operational costs and excessive workload. A lack of a centralized data management system further complicated the process, resulting in inconsistent responses and unresolved queries.

The Solution: Integration of a Mobile App and Dashboard

A mobile application was developed to provide users with an intuitive interface for business-related inquiries and real-time shipment tracking. An AI-powered Q&A system matched user queries with predefined responses, ensuring quick and accurate information retrieval. If no match was found, the system redirected users to a live support agent for further assistance. This significantly reduced wait times and improved the overall user experience.

The administrator dashboard allowed client admins to manage the Q&A database, monitor live chat conversations, and refine query handling processes. Admins could modify predefined responses, oversee interactions, and ensure continuous improvement by adding new queries and responses based on user feedback. The dashboard also featured analytics and query tracking capabilities to optimize the AI-powered Q&A system’s efficiency.

How These Two Technologies Work Together

When a customer submits a query in the mobile app, the system searches the predefined Q&A database. If a relevant response is found, the system provides an instant reply. If no match is detected, the query is escalated to a client admin through live chat, where an administrator can manually resolve the issue and add it to the database for future automation. Shipment tracking requests are handled seamlessly within the live chat, eliminating the need for users to switch applications.

Implementation Challenges and Solutions

One of the initial challenges was improving AI matching accuracy, as the system had difficulty recognizing variations of similar queries. By training the AI using over 5,000 real customer queries, accuracy improved by 35%. Another challenge was integrating real-time shipment tracking without manual input from support agents. This was resolved through the integration of shipment tracking APIs that dynamically fetched data based on order numbers provided by users.

User adoption and training also posed difficulties, as some administrators were hesitant to transition from manual processes to automation. A structured onboarding program and interactive training modules helped achieve a 90% adoption rate, ensuring smooth implementation.

Results That Speak

The implementation led to a 30% faster query resolution time, enabling customers to receive instant responses without delays. Customer satisfaction increased by 20% due to improved self-service options and the availability of live support when needed. Manual administrative work was reduced by 45%, allowing support teams to focus on complex issues, thereby reducing overall operational strain.

Lessons Learned

AI-powered automation requires continuous refinement, with administrative oversight playing a crucial role in maintaining accuracy and relevance. Real-time data syncing proved to be essential, as fast API connections for shipment tracking significantly improved response times. Effective change management was a key factor in successful implementation, requiring ongoing training and internal buy-in to ensure smooth adoption.

Next Steps

Future improvements will include the enhancement of predictive query suggestions, where AI will suggest relevant responses even before a question is fully typed. Expanding multilingual support will allow the platform to cater to international users by incorporating French, Spanish, and German languages. Additionally, advanced analytics will be introduced through BI dashboards to analyze query trends and customer interactions, providing deeper insights for administrators.

Final Thoughts

By integrating a mobile app for end-users and a dashboard for administrators, this solution successfully streamlined logistics operations while enhancing customer engagement. Businesses seeking a similar approach can leverage this model to automate customer queries, improve shipment tracking efficiency, and optimize support operations.

Looking to streamline logistics with AI-powered automation? Our solutions enhance efficiency, reduce manual work, and improve customer satisfaction. From automated query management to real-time shipment tracking, we help optimize operations. Contact us today to transform your logistics workflow and drive success!

AI-Driven Tools: Revolutionising Sales Operations | Salesfeel

Posted on by Layana Chandran

Executive Summary

Boost sales efficiency with AI-driven tools! Automate reporting, optimise field operations & cut costs. See how AI transformed this pharma company’s success!

A pharmaceutical company struggled with inefficiencies in its sales operations, including manual reporting, limited field monitoring, cumbersome expense management, and inconsistent communication. By adopting AI-driven tools, the company streamlined workflows, reduced reporting time by four hours per agent each week, increased productivity by 15%, and optimised resource management. This case study highlights how tailored digital solutions transformed business processes and accelerated growth.

Project Overview

The project focused on optimising mobile and web application UI/UX using Flutter, Yii2, and AngularJS to ensure seamless functionality. Conducted between January 2019 and April 2021, the initiative offered SME-friendly pricing with scalable options for future expansion.

Aspect Details 
Service Mobile APP and Web APP UI/UX Optimisation 
Technology  Flutter , Yii2, And Angular JS 
Period January 2019 to April 2021 
Budget Designed to be SME-friendly with scalable options for future growth.  

The Client and Their Challenges

The pharmaceutical company, which managed over 200 field agents, faced major operational hurdles. Agents spent five hours each week compiling handwritten reports, often submitting them late or incomplete, creating operational blind spots. Managers lacked real-time oversight, which led to unproductive travel routes and uneven workloads. Expense management was inefficient, as approval delays for travel and daily allowances caused frustration among agents. Static email PDFs served as the primary method for product knowledge updates, but many agents ignored or forgot them before client interactions. Additionally, inefficient tracking of product sample distribution led to a 30% surplus in annual costs.

Why They Chose Us

The company selected our team because of our ability to deliver cost-effective, AI-driven solutions with minimal disruption to existing workflows. Our emphasis on measurable ROI and ease of use set us apart from competitors. See Services Archive | AI-Driven Web, Mobile Apps for SMEs, Startups

The Solution

We developed a mobile application for field agents and a web-based admin dashboard for managers. Automated reporting replaced manual entries, reducing reporting time from five hours to just one hour per week. AI-powered pre-filling used historical data to streamline data entry, allowing agents to log daily visits and orders in real-time.

GPS-enabled location tracking provided managers with real-time oversight of agent movements, optimising travel routes and reducing unnecessary trips. Agents uploaded receipts for travel and allowances directly into the app, where AI flagged incomplete or duplicate claims, cutting approval delays by 50%.

We also introduced on-demand training resources, including videos, product details, and quizzes. A gamified approach encouraged completion, and performance analytics helped managers assess agent readiness for client meetings. Attendance tracking allowed managers to review productivity based on daily check-ins and client visits. For better resource allocation, an AI-driven system monitored product sample distribution, reducing waste and identifying high-demand regions.

Implementation Challenges and Solutions

Many agents initially resisted the new technology. To address this, we conducted interactive workshops and live demonstrations, which quickly improved adoption rates. Some AI models misclassified expense claims and report entries in the early stages. By incorporating user feedback and retraining models, we improved accuracy by 60% within two months. Integrating the app with existing CRM and accounting systems posed another challenge, but our custom APIs ensured a seamless data flow.

Results That Speak

Within six months, field agents increased productivity by 15%, directly contributing to a 20% revenue boost. Improved sample tracking reduced wastage by 25%, while automated reporting saved each agent an average of four hours per week. With AI optimising their workflow, agents spent more time engaging with clients rather than handling administrative tasks.

Lessons Learned

Iterative development played a crucial role in the project’s success. By continuously refining features based on user feedback, we ensured system reliability. Transparent communication and hands-on training helped ease the transition. A user-focused design approach led to high adoption rates and positive engagement.

Next Steps

The company plans to enhance fraud detection by using AI to identify high-risk expense claims. Sentiment analysis will help monitor customer satisfaction and predict churn. Additionally, adaptive learning tools will personalise training modules, improving agent performance.

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Struggling with inefficiencies? AI-driven tools can transform your operations. Our team specialises in affordable, scalable solutions tailored to your challenges. Let’s create your success story together—contact us today to get started.

Footsol App: Innovating Foot Health with Mobile Tech

Posted on by Layana Chandran

Executive Summary

Boost foot health with the Footsol App! AI-driven foot analysis, personalised insoles, real-time sales tracking & enhanced customer engagement.

A pharmaceutical company specialising in foot care faced challenges in customer engagement, sales tracking, and operational efficiency. Agile Cyber Solutions developed a cutting-edge mobile platform that addressed these issues with live foot health tracking, tailored product suggestions, and detailed sales tracking. Within six months, the company achieved a 20% increase in sales, reduced inefficiencies, and significantly enhanced customer satisfaction, positioning itself for scalable growth. This success highlights how businesses can leverage innovative digital tools to modernise their operations and improve customer outcomes.

The Client and Their Challenges

The client, a pharmaceutical company, faced significant challenges in operations and customer engagement. Without tools to analyse foot biomechanics, their product recommendations were generic and often ineffective, reducing customer trust. Sales tracking across retail outlets and clinics was delayed and inconsistent, while the absence of a digital purchasing platform caused frequent errors and inefficiencies in order processing. Manual reporting and inventory management consumed valuable resources, limiting their ability to deliver personalised customer experiences and impeding growth in a competitive market.

Project Details

The project involved the development and optimisation of a mobile and web application UI/UX. The technology used was Flutter, ensuring a seamless user experience across platforms. The project was executed between January 2020 and April 2020, with a budget designed to be SME-friendly while maintaining scalability for future growth.

Aspect Details 
Service Mobile APP and Web APP UI/UX Optimisation 
Technology  Flutter  
Period January 2020 to April 2020 
Budget Designed to be SME-friendly with scalable options for future growth.  

Why They Chose Agile Cyber Solutions

The company selected Agile Cyber Solutions due to their tailored and innovative approach to addressing unique business challenges. A key factor was the development of a user-friendly mobile app designed for retailers and healthcare professionals. The app incorporated real-time foot health analysis, enabling personalised insole recommendations. Implementation was rapid, with minimal disruption to existing systems, and there was a strong focus on delivering measurable ROI through improved sales tracking and customer engagement. See Transforming Ideas into AI-Driven Web and Mobile Apps

The Solution

Agile Cyber Solutions delivered a customised mobile application specifically designed to address the client’s needs. The solution featured automated foot health analysis, allowing retailers and clinics to scan and quickly assess customers’ foot structures. Using a smartphone’s camera and machine learning models powered by TensorFlow, the app detected arch height and pressure distribution patterns, enabling precise insole recommendations tailored to each customer.

The app’s recommendation engine was trained on over 100,000 data points, incorporating user gait patterns, foot dimensions, and historical purchases. This allowed it to suggest particular products with a 40% improvement in accuracy after iterative updates. Additionally, the backend, powered by Firebase Realtime Database, facilitated real-time sales tracking and reporting. Retailers accessed performance dashboards displaying key metrics such as best-selling products, stock levels, and customer trends, all synchronised instantly.

Implementation Challenges and Solutions

Adoption resistance was an initial challenge, as early users hesitated to embrace the system due to unfamiliarity. Agile Cyber Solutions conducted interactive workshops, including live demonstrations showcasing how the app simplified day-to-day workflows. Post-training surveys revealed an 80% satisfaction rate. Prior to adopting the mobile app, users relied heavily on manual records for sales and inventory tracking. Transitioning to a digital platform required extensive user training and phased implementation, allowing a seamless shift from outdated processes.

Initial tests highlighted inaccuracies in detecting specific foot conditions. Agile Cyber Solutions incorporated feedback from podiatrists and real-world usage data, refining the algorithm to achieve 95% accuracy in product recommendations within two months.

Results Achieved

The app significantly improved customer interaction, with instant foot analysis and personalised follow-ups leading to a 30% increase in repeat customers. Customer feedback highlighted the trustworthiness of the recommendations. Retail outlets experienced a 20% increase in sales within six months, with best-selling insoles accounting for 50% of revenue growth. Sales agents saved an average of 10 hours per week through automated reporting and inventory updates, while real-time stock insights optimised product distribution, ensuring 98% availability of top products.

Lessons Learned

Iterative design played a crucial role in the project’s success, with regular feedback loops involving retailers and healthcare providers ensuring the app’s features aligned with user needs. Data-driven development proved essential, leveraging real-time analytics to provide actionable insights for app enhancements and business decisions. Comprehensive training and user support were vital in overcoming resistance and maximising the app’s impact.

Next Steps

Building on the success of the mobile application, the company plans to integrate posture and balance analysis using smartphone gyroscopes and accelerometers. Predictive analytics will be leveraged to forecast demand and optimise inventory management. Additionally, voice-enabled features will be introduced to assist users with accessibility needs and provide hands-free recommendations.

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Ready to transform your business like our client? Schedule a free consultation with Agile Cyber Solutions today and discover how real-time insights and AI-driven recommendations can redefine your operations. Let us help you achieve remarkable results in customer engagement, operational efficiency, and sales growth.

Take the next step in digital transformation with Agile Cyber Solutions. Our AI-driven solutions enhance customer engagement, streamline operations, and boost sales. Schedule a free consultation today and discover how real-time insights can revolutionise your business. Contact us now to get started!