Seamlessly integrate real-time chat into your app with our scalable, customisable chat solution. Enhance user engagement with messaging, calls & more!
In today’s fast-paced digital world, seamless and real-time communication is crucial for businesses looking to enhance user engagement and streamline interactions. Our inbuilt chat solution integrates effortlessly into any application, providing a robust platform for real-time conversations, whether for private messaging, group discussions, or large-scale collaboration.
Why Integrate Our Chat Solution?
Integrating our chat service into your application brings numerous advantages. Real-time messaging features such as message reactions, emojis, stickers, and GIFs make interactions dynamic and engaging while keeping users active on your platform. Comprehensive communication tools support text messaging, voice and video calls, file sharing, and screen sharing, ensuring efficient and interactive communication. Our powerful open-source foundation allows customisation for optimal performance, making our chat platform both scalable and adaptable to fit your business needs as your user base grows.
Key Features of Our Real-Time Chat Platform
Our chat platform offers a wide range of features designed to enhance user experience. Real-time messaging enables instant communication with support for one-on-one chats, group messaging, and community discussions. Multimedia support lets users send and receive files, images, and videos seamlessly within the chat. High-quality voice and video conferencing create a richer communication experience. Push notifications keep users updated on new messages and interactions, even when they are not actively using the app. User presence and activity indicators show online/offline status and typing indicators to enhance real-time interaction. Custom integrations allow our chat solution to work with other tools and services to fit unique workflows.
Effortless Chat Integration for Seamless Communication
Integrating our chat solution into your application is straightforward. During deployment, you install and configure the chat platform based on your infrastructure preferences. Secure user authentication ensures safe and private communication. The chat interface integrates seamlessly into your app, with full customisation options to match your branding. You can modify themes, add personalised emojis, and configure permissions to enhance the user experience. Thorough testing guarantees a flawless experience before launching the chat solution to users.
Why Choose Our Secure and Scalable Chat Solution?
By choosing our inbuilt chat solution, you benefit from expert support that ensures smooth integration and deployment. Continuous updates and security enhancements keep your chat platform ahead of the curve, providing a reliable and secure experience. Our cost-effective and scalable solution eliminates the need for expensive development from scratch while delivering high-performance results.
Start Enhancing Communication on Your Platform Today!
Our customisable, real-time chat solution makes it easy to keep users engaged, improve collaboration, and provide a seamless communication experience. Contact us today to learn how to integrate our chat into your application and take user engagement to the next level.
AI-powered sustainable delivery marketplace optimises logistics with smart bidding, route AI, and CO₂ tracking, cutting costs, boosting efficiency, and sustainability.
The on-demand delivery industry faces rising demand for cost-effective, transparent, and sustainable logistics. This AI-powered sustainable delivery marketplace leverages a reverse auction system to connect customers with transport providers efficiently. The platform supports real-time tracking, AI-driven pricing optimisation, and sustainability incentives to enhance affordability and efficiency.
By integrating AI-powered route optimisation, secure transactions, and a scalable cloud infrastructure, the AI-powered sustainable delivery marketplace enhances delivery efficiency while minimising environmental impact. The solution is being implemented in two phases: MVP development and advanced feature integration, positioning it as a competitive and adaptable player in the logistics industry.
Client & Business Challenges
The client aimed to create a scalable, cost-efficient logistics marketplace for small to large-scale deliveries. One of the key challenges was competitive differentiation, as existing logistics platforms rely on static pricing models, making it difficult for providers to optimise their earnings. Another challenge was scalability and performance, as the platform needed to handle increasing user demand while maintaining real-time functionality. Trust and security were also major concerns, requiring secure payments, fraud detection, and transparent communication. Additionally, sustainability compliance was essential, with carbon tracking and green delivery incentives necessary to align with regulatory and market demands.
To solve these challenges, the team incorporated AI-based optimisation, automated compliance tracking, and a dynamic pricing system. See Our Services
Project Details
The service includes a mobile and web-based application. The development team used Angular for the frontend, Node.js with Firebase for the backend, and Flutter for mobile applications. They developed the project between February 2022 and October 2022, designing the budget to be SME-friendly while allowing for future scalability.
Aspect
Details
Service
Mobile and Web-Based Application
Technology
Frontend: Angular, Backend: Node.js with Firebase, Mobile : Flutter
Period
February 2022 to October 2022
Budget
Designed to be SME-friendly with scalable options for future growth
The Solution & Implementation
The reverse auction-based AI-powered sustainable delivery marketplace was developed with several core features. A smart bidding system enables customers to post delivery requests with detailed requirements, including size, weight, urgency, and preferred time slots. Transport providers bid competitively using an AI-powered pricing model that considers fuel costs, distance, and delivery urgency. To prevent underbidding issues, the system enforces a minimum bid threshold based on historical data and real-time fuel price monitoring.
The AI-driven route optimisation integrates with NextBillion.ai to calculate the most efficient delivery routes. It factors in live traffic conditions, provider location and availability, and historical performance metrics. During beta testing, intelligent re-routing shortened average travel time by 22%, allowing couriers to complete 15% more jobs per day.
Secure transactions and fraud prevention were implemented through a multi-layer security framework, including end-to-end encryption for messaging and transactions, AI-based fraud detection, and two-factor authentication for transport providers.
Sustainability and carbon tracking were prioritised through real-time CO₂ footprint tracking, which operates via GPS-linked emission calculators. Transporters using EVs or biofuel-powered vehicles receive a Green Badge, which provides a 5% fee discount and higher job priority ranking. AI-based sustainability scoring assists companies in optimising their supply chains by suggesting greener delivery options.
Multi-device access and scalability were ensured with Flutter-based mobile apps for iOS and Android, providing seamless cross-platform UI consistency. The Angular web application was optimised with lazy loading, reducing initial page load time by 40%. A cloud-native microservices architecture on AWS allows instant scalability during peak demand periods.
Technology Stack
The team developed the mobile application using Flutter, enabling cross-platform mobile development while reducing development time by 30% compared to native frameworks. This approach ensures a consistent UI and UX across iOS and Android devices.
They built the web application using Angular, which provides a modular architecture that improves maintainability and scalability. Implementing lazy loading reduced the initial page load time by 40%.
For the backend, they used Node.js with Firebase, creating a real-time event-driven infrastructure that ensures instant updates on bids and job tracking. Firebase seamlessly integrates with other Google services and provides real-time database capabilities.
The AI-powered route optimisation, powered by NextBillion.ai, improves ETA accuracy and allows dynamic adjustments based on real-time data. This system enhances decision-making in routing and delivery planning.
AWS cloud services host the platform, with Elastic Load Balancing and Auto Scaling Groups maintaining consistent performance. The cloud-native microservices architecture ensures high availability and scalability during peak demand periods.
Results & Business Impact
AI-powered route optimisation reduced average delivery costs by 18%. Predictive ETAs increased arrival accuracy by 30%. Sustainability efforts led to a 22% reduction in carbon emissions for providers using the Green Badge programme. Couriers completed 12% more jobs per day due to optimised routing. Beta users reported an 80% increase in job acceptance rates because of the transparent bidding system.
Challenges & Lessons Learned
The initial AI pricing model caused aggressive underbidding, which reduced provider profitability. The development team adjusted the AI algorithm to factor in fuel price fluctuations and base operational costs. This stabilised pricing, prevented losses for providers, and ensured fair competition.
Early API integrations prevented delays. By pre-testing external APIs, such as NextBillion.ai, payment gateways, and carbon trackers, in sandbox environments, the team eliminated 90% of potential integration failures and streamlined the go-live process.
User education played a critical role. Some users hesitated to adopt the bidding model. To overcome this, the team introduced an interactive tutorial within the mobile app, increasing provider onboarding completion rates by 45%.
Next Steps
The next development phase includes AI-powered predictive analytics to improve demand forecasting. This enhancement will optimise provider availability, reducing idle transport time by 25%. The platform will integrate with third-party logistics providers to establish warehouse and fulfilment partnerships, improving bulk delivery efficiency. Expanded sustainability features will introduce carbon offset partnerships, real-time eco-score dashboards, and integration with governmental green logistics incentives. Premium subscription tiers will offer value-added services such as automated bidding strategies and customised analytics reports for high-volume transport providers.
Final Thoughts
This AI-powered delivery marketplace provides a cost-efficient, scalable, and sustainable logistics solution. By leveraging AI-driven pricing, predictive routing, and green incentives, it offers SMEs an agile, affordable, and eco-conscious alternative to traditional delivery models.
With a data-driven approach, the platform is poised for continued growth and innovation. Its modular infrastructure ensures seamless adaptability to evolving market demands, securing a future-ready logistics ecosystem.
Looking for an AI-powered delivery marketplace that boosts efficiency, cuts costs, and promotes sustainability? Our innovative platform transforms logistics with smart technology and automation. Contact us today to see how we can support your business success.
TED Talk engagement tracking with the TED-it Experiment Website—secure, scalable, real-time analytics, AI insights, and data privacy for academic research.
The TED-it Experiment Website facilitated an academic study on user engagement with TED Talks. This project provided a secure, scalable, and research-focused platform where participants watched videos while the system logged their interactions for analysis. The platform ensured controlled access, detailed data tracking, and real-time monitoring to support structured experimentation.
A single website with 12 dynamically controlled URLs accommodated different experimental conditions. The platform featured secure authentication via Qualtrics survey integration, real-time interaction logging using Kafka and Flink, and an advanced admin dashboard leveraging Elasticsearch for data analysis. The system securely handled user data while offering researchers actionable insights into engagement trends.
The Client and Their Challenges
Researchers initiated this project to support an academic study on TED Talk engagement. They needed a web-based platform that tracked user interactions with video content while maintaining a controlled research environment. Several challenges required solutions to meet the study’s objectives. The platform had to ensure that only authorised participants accessed it through a Qualtrics survey link while preventing unauthorised usage. It needed to capture and store detailed user interactions, including play/pause actions, scrolling behaviour, and engagement duration, without compromising performance. The system had to dynamically assign participants to 12 different experimental conditions based on URL parameters. Efficient data storage and processing played a critical role in managing large volumes of user interaction data while ensuring fast query performance for research analysis. Researchers also needed an intuitive dashboard to track user activity, generate reports, and analyse engagement trends in real time. Compliance with data privacy regulations remained essential, requiring the secure storage and anonymisation of user data.
Project Details
The team developed a web-based application using Angular for the frontend and Python Django for the backend. The development period spanned from February 2021 to April 2021, and the budget accommodated SME-friendly pricing with scalability for future growth. The research team selected our services due to our expertise in developing controlled-access research platforms tailored for academic studies. Our strong background in data management, analytics, and secure web applications allowed for efficient tracking and storage of user interactions. Additionally, our ability to build an intuitive and real-time monitoring dashboard enabled researchers to analyse engagement trends seamlessly. Our commitment to data privacy and security compliance reinforced their trust in our solution.
Aspect
Details
Service
Web-Based Application
Technology
Frontend: Angular, Backend: Python Django
Period
February 2021 to April 2021
Budget
Designed to be SME-friendly with scalable options for future growth
The Solutions
The team built a single, parameterised website with 12 dynamically controlled URLs. JWT authentication restricted access to verified participants from Qualtrics. A modular, responsive frontend created a seamless user experience using Angular. For clickstream data logging, the system integrated Apache Kafka for real-time event streaming of user interactions. Apache Flink processed clickstream data before storing it in PostgreSQL, capturing detailed engagement metrics such as play rate, pause frequency, and watch duration.
The team extracted TED Talk metadata from Kaggle datasets and optimised a PostgreSQL schema for efficient video detail queries. REST API endpoints supported future data expansions and integrations. The Angular-based admin dashboard provided real-time data visualisation, with Elasticsearch enabling instant data querying and analysis. Export features allowed researchers to download engagement data in CSV and JSON formats for further analysis.
Technology & Stack Benefits
The platform’s frontend used Angular, ensuring a modular and high-performance user interface. Python Django powered the backend, delivering secure, scalable, and rapid API development. PostgreSQL optimised data handling with indexing and partitioning. AWS hosting with auto-scaling EC2 instances ensured high availability and scalability.
Key Features Implemented
The platform included a single, dynamic website supporting 12 experimental conditions. JWT authentication, integrated with Qualtrics, ensured secure participant access. Kafka and Flink enabled real-time clickstream data logging, while PostgreSQL optimised high-performance querying. The Elasticsearch-backed admin dashboard provided real-time research insights. Engagement data was exportable in CSV and JSON formats for detailed analysis.
The Result
The single-website, multi-URL approach streamlined deployment while maintaining research integrity. High-resolution interaction tracking provided researchers with valuable behavioural insights. The admin dashboard allowed researchers to monitor user activity and dynamically adjust experiment parameters. Security measures, including JWT authentication and anonymised data storage, ensured compliance with privacy regulations.
Lessons Learned
Using real-time data streaming with Kafka significantly improved the accuracy and granularity of user engagement insights. Implementing Elasticsearch enabled near-instant querying of large datasets, enhancing research efficiency. Ensuring smooth Qualtrics integration with JWT authentication proved essential for maintaining controlled access. A single parameterised site for multi-condition experimentation reduced complexity and deployment overhead.
Next Steps
Future plans include expanding the TED Talk dataset by integrating additional metadata sources. AI-driven insights will enhance the understanding of user engagement patterns. WebSockets will improve real-time tracking for more precise event monitoring. Automated reporting features will help researchers generate structured insights.
Conclusion
The TED-it Experiment Website successfully met the research requirements, enabling a controlled study on user engagement with TED Talks. Through real-time data tracking, parameterised URL-based experimentation, and an advanced admin dashboard, the platform provided researchers with valuable insights while ensuring security and compliance. This case study demonstrates how modern web technologies enhance academic research through structured data collection, scalable experimentation, and efficient data analysis.
Are you looking for a secure, scalable, and data-driven research platform? Our expertise in web-based academic research solutions ensures high-performance data tracking, real-time analytics, and secure access control. Get in touch with us today to discuss how we can support your research needs and take your study to the next level.
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 tolost 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 & Mobileapplication 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.
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.
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.
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.
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 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 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 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 solutionsignificantly 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 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.
Transform Your Risk Management System Today
If your organisation requires a modern, scalable risk management solution, our team specialises in delivering tailored systems designed to improve efficiency and compliance. Let’s collaborate to create a future-proof platform that meets your unique needs. Contact Us now to start your journey toward streamlined operations and compliance excellence.
