This platform is a comprehensive fleet management solution designed to help transport companies maximize the operational lifespan and reliability of high-value heavy-duty vehicles. By monitoring component wear and vehicle health in real-time, the system enables enterprises to achieve maximum fleet availability, minimize unplanned roadside breakdowns, and optimize maintenance expenditure for long-haul and regional assets.

The software is built for a diverse ecosystem, including Logistics & Freight Carriers, Vehicle Rental Companies looking to improve vehicle durability and lifecycle performance

The software is an online quoting and submission system. It works like amazon for insurance. It solves the problem of long waiting time for work completion in insurance industry and gets policy numbers out in few minutes. The product lines include contractor general liability, workers’ compensation, business owner’s policy & small business insurance, inland marine, builders risk, excess, commercial auto and contract bonds.

The platform is a managing general agent/ broker for commercial insurance. The software allows filling application online and sends application to underwriter to write policy and process submission after checking the consistency of information in application.

Prospective property buyers often face delays in identifying suitable suburbs and properties, limited visibility into where they stand in the buying journey, and fragmented coordination between buyer's agents, support teams, and external parties such as conveyancers and inspectors. The client required enhancements to streamline client onboarding, automate workflow tracking across the buying process, and improve real-time communication across all stakeholders.
smartData enhanced the existing Milk Chocolate Property platform by optimizing the client and agent-facing Own™ portal with automated notifications, improved Game Plan™ workflows, AI-assisted suburb and property matching, and upgraded UX for registration, recommendations, and milestone tracking from exchange through settlement. The solution introduces structured client preference reuse, simplified onboarding, intelligent agent assignment tracking, and AI-assisted decision support to help clients evaluate suburb and property recommendations.
As a result, the platform improves operational efficiency, reduces lead-to-purchase turnaround time, enhances client engagement through proactive communication, and establishes a scalable foundation for future AI-driven property personalization and automated transaction coordination.

To design and implement an integrated, automated planning and forecasting platform that enhances forecast accuracy, eliminates manual and siloed processes, provides real-time visibility into key business metrics, and enables seamless collaboration across planning, sales, and supply chain teams—empowering the organization to respond pro-actively to market changes and make informed, data-driven decisions across short- and long-term planning cycles.

The objective of this project was to transform a fast-growing construction materials supplier into a fully integrated, AI-enabled digital operations platform.

The client was managing bulk orders, warehouse coordination, supplier procurement, and accounting across disconnected systems. This resulted in delayed responses, manual reconciliation, limited stock visibility, and heavy dependency on staff for routine customer queries.

Our goal was to build a unified ERP ecosystem using ZohoOne, fully integrated with MYOB for financial control, while embedding AI Agents to automate customer communication and operational support.

The AI Agents were designed to:

• Instantly respond to customer queries related to order status, invoices, and delivery timelines
• Reduce dependency on manual call handling
• Provide 24/7 support without increasing headcount
• Assist internal teams with quick data lookup and order insights
• Improve response time and customer satisfaction

This solution was not only about automation - it was about creating an intelligent operational backbone that improves efficiency, reduces overhead, strengthens financial accuracy, and supports scalable growth.

The primary objective of the platform is to transform the neuro clinic’s data into an intelligent, and research-enabling asset by implementing a Clinical Decision Support and Research System (CDSS) that consolidates patient, operational, and financial information into one secure, analytics-driven environment. The solution provides real-time insights for clinical decision-making, research enablement, and revenue visibility, ensuring HIPAA-compliant data governance. It will also streamline operational workflows by automating performance tracking, monitoring patient flow, and improving scheduling efficiency, while strengthening financial management through comprehensive visibility into revenue, billing accuracy, and payer mix analysis.