Advanced Data, AI, and ML

Bellabox is a subscription-based beauty box service that delivers curated cosmetic samples from local and international brands to users monthly. The platform allows customers to discover new beauty products before committing to full-size purchases. The business model enhances brand exposure for partnered beauty companies while offering users a convenient and cost-effective way to explore skincare, haircare, and cosmetics.

The platform streamlines the subscription management process, ensuring seamless user sign-ups, automated billing, order fulfillment, and personalized recommendations based on user preferences. With a focus on customer retention and engagement, the system incorporates loyalty rewards, referral programs, and promotional discounts to boost recurring sales.

It is an Australian-based web and mobile solution targeted to streamline and automate services and in-house business operations of Residential and Commercial Franchise companies. Customers can raise residential/domestic, and commercial cleaning requests through the web and mobile app. There’s also an admin/franchisor interface that is managing franchisee, invoicing & financial, and worker management tasks. Customers can connect with the nearby franchisees in their suburbs and post requests based on their needs through their portal.

This project involves creating analytical reports and dashboards for retail sales and healthcare metrics. The store sales report tracks sales performance using key metrics such as total sales, targets, and period-based sales comparisons, with filters for date and location. The repair summary report provides insights into repair activities with visual charts and multiple filters. The top sales report highlights salesperson performance, while the top sellers report lists best-selling products. In healthcare, dashboards focus on patient-related metrics, engagement, and group analysis, offering insights into appointments, measures, and patient interactions with various filtering options for effective data analysis and decision-making.

It is a fully-automated risk assessment & benchmarking process management system. It allows business owners to build a comprehensive, industry-specific risk profile for business in a matter of minutes.
The system facilitates affordable, intelligent matching of risk and insurance, reducing the likelihood of under insurance and optimizing premium expenditure.

Going.Expert connects travellers with experienced Travel Experts who have firsthand knowledge of their destinations. Unlike traditional booking platforms, it provides personalized travel advice, local insights, and expert recommendations, ensuring well-informed and enriching travel experiences. The platform empowers travellers with real-world expertise, bridging the gap between automated suggestions and genuine human knowledge.

The project aims to develop a web-based dynamic survey platform designed to capture consumer lifestyle preferences and habits. The survey will consist of four sections with approximately 20 questions and will incorporate conditional logic, ensuring that questions adapt based on user responses. If a respondent selects "yes" to a specific question, additional relevant questions will follow, while a "no" response will allow them to proceed to the next section. The survey should be easily accessible via email invitations or be completed directly by operators, ensuring flexibility in data collection.

The system should support data retrieval, reporting, and potential integration with marketing automation tools, making it a scalable and user-friendly solution for consumer engagement.