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 ProSup App, developed to streamline store and facility inspection processes, empowers store managers and administrative staff with efficient tools for task management and reporting. Administered by NTS, the solution combines a user-friendly mobile application for on-site users and a centralised web interface for admins, creating a seamless inspection workflow.

With added functionalities such as Advertisement/Campaign modules, quote management, and advanced reporting capabilities, the ProSup App enhances operational efficiency, improves communication, and simplifies day-to-day inspections and management processes for NTS clients.

The objective of the proposed application is to create a platform for asset tracking in the trucking industry that operates under a subscription-based software-as-a-service (SaaS) model. It has a mobile app for drivers that helps with dispatching pick-up and delivery locations and calculating total miles driven over a period of time covering duration and trips and a web-based interface for carriers, brokers, and the company.

The platform is integrated with a third-party hardware device that tracks various data points such as vehicle location, door opening, temperature, and humidity in real-time. The data collected by this device is sent back to cloud-based services that can be accessed via cloud-based APIs or the SDK provided by the device manufacturer.

An AI-first, Gen Z–oriented fashion styling app enabling users to upload wardrobe items, receive personalized outfit suggestions using AI, and engage socially via outfit polls and feeds. The solution leverages Firebase’s scalable cloud backend and integrates OpenAI for prompt-based outfit generation. Users can manage a virtual closet, receive AI alerts on missing wardrobe items, and interact with a community through polls and comments. It also includes an admin panel for moderation, analytics, and subscription management. Monetization is driven through subscription tiers and integrated ads. The product is designed as a progressive MVP with clearly defined “must-have” and “nice-to-have” features to facilitate phased rollout. Post-launch, the client aims to validate market fit and scale with affiliate shopping and influencer integrations.

An AI-native takeoff and intelligent document processing platform for the commercial construction industry that automates material (glass, doors, window) takeoff and hardware extraction from architectural project documents. The solution processes floor plans, elevations, material schedules, specifications, and related drawings to identify, classify, and extract information with high accuracy. 

It applies engineering rules to validate extracted data, highlights discrepancies, and enables estimators to review, verify, and export standardized Excel outputs. 

The platform significantly reduces manual estimation effort, improves consistency, and accelerates bid preparation while maintaining full traceability back to the source drawings.

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.