The client, a high-volume enterprise seller managing over 120K SKUs, struggled to maintain competitive pricing across marketplaces like GSA Advantage due to manual and inconsistent processes.

smartData developed an automated Competitive Pricing Intelligence and Price-to-Beat platform that continuously discovers, validates, and compares pricing data from Amazon and verified U.S. vendors. The system applies rule-based matching, filters unreliable sellers, calculates landed costs, and identifies optimal competitive pricing.

Built with a scalable architecture, the platform integrates seamlessly with ERP (Business Central) using automated CSV exports and S3/SFTP delivery. It enables real-time pricing visibility, reduces manual effort, and ensures compliance with marketplace requirements.

The solution empowers the client to make faster pricing decisions, improve accuracy, and maintain a strong competitive position in a high-volume marketplace.

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.

The application makes it easier for mental health patients to search and match with licensed therapists for in-person or video-based consultations. The application also connects therapists to a network of new patients, helps with payor credentialing, manages billings and claims processes, manages dynamic assessments, and guarantees instant payment on claims.

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.

The project aims to create a SaaS-based platform for multiple construction companies, enhancing project management and collaboration. Key features will include project scheduling, task assignments, performance monitoring, and real-time status tracking with notifications. The platform will support quality control inspections, ensure payments are released only upon completion of specific construction stages, and provide a document management system. Additionally, it will feature a holiday rule engine, accounting management tools, and visual scheduling options like Gantt and calendar views. Ultimately, this platform will streamline operations and improve communication among construction stakeholders.

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.