Feature Roadmap
We aim to implement AI-driven reporting using OpenAI (ChatGPT) for predictive analytics, expand API integrations for cross-platform compatibility, and enhance automation to optimize workflows and user experience further.
Our client is a service-based organization headquartered in San Diego, California. They partnered with Ditstek Innovations (DITS) to modernize and scale its outdated legacy software. Originally catering to a niche market, the client envisioned expanding into a multi-service SaaS platform, an All-in-One Operations Management & Dispatch Software that could automate workflows, improve collaboration, and centralize operations across industries like security, field services, and facility management. This transformation required rebuilding their platform from the ground up to meet modern usability, scalability, and integration standards.
Get Free Consultation Today!The client was operating on a CorePHP legacy system, which created multiple challenges for the business. The platform had been modified repeatedly over the years, making it unstable and challenging to maintain. A single developer managed the entire system, creating a high-risk bottleneck and leaving the company vulnerable to disruptions. Critical operational workflows, such as employee scheduling, inspections , and reporting, were handled manually, often resulting in errors, delays, and inefficiencies.
Multiple disconnected third-party tools led to fragmented systems, duplicated data, and poor visibility. Without real-time communication or task coordination, department collaboration was slow and disjointed.
The reporting capabilities were minimal, preventing leadership from accessing key metrics to make data-driven decisions. Most importantly, the architecture was not scalable, and it lacked the flexibility to support the client’s vision of becoming a multi-service SaaS platform offering dispatch, operations, and workforce management across different service sectors.
Ditstek Innovations (DITS) designed and delivered a fully customized, modular SaaS platform focused on workflow automation, team collaboration, and operational scalability to address these challenges. Our solution included the following strategic implementations:
We transitioned platform from CorePHP to Laravel with MySQL, and later upgraded to a microservices architecture using Node.js (backend) and React.js (frontend) to ensure modularity, faster development, and long-term scalability.
We integrated Power BI for real-time dashboards and analytical reporting, empowering management with accurate operational insights and performance evaluation tools.
The platform was deployed on Digital Ocean, offering robust performance, flexibility, and high availability to support future scaling across clients and geographies.
Key operations like client onboarding, task assignment, inspections, and training wer e automated, reducing human error and administrative workload.
The system was built with granular user access management, with super admins, client admins and employees having controlled permissions across modules
Features like integrated chat, GPS-enabled tracking, and alerts were introduced to enable seamless coordination and transparency in task execution.
We began by closely engaging stakeholders to understand operational pain points and define a scalable solution roadmap. Using Agile methodology, we rolled out sprint features, allowing for rapid iteration, continuous feedback, and transparent progress tracking. Our cross -functional team of business analysts, UI/UX designers, developers, QA engineers, and DevOps experts collaborated seamlessly to ensure a user-centric and technically sound build
To modernize the legacy system, we moved from Laravel to a robust Node.js and React.js stack, maintaining business continuity throughout. Every release underwent rigorous testing, ensuring stability, speed, and performance. As we moved toward deployment, we equipped users with hands-on training and transitioned into ongoing support, enabling smooth adoption and setting the stage for continuous improvement.
The updated SaaS platform improved operational efficiency by 30% eliminated data duplication, and boosted data visibility by 50% Centralized collaboration and automation significantly reduced administrative effort while enabling real-time coordination and business scalability.
Improved operational efficiency
Eliminated Data duplication
Boosted data visibility
Centralized collaboration and automation significantly reduced administrative effort while enabling real-time coordination and business scalability