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.

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.

The primary objective of the compliance process automation platform is to enhance the operational efficiency of the energy company's Energy Saving Certificate (ESC) process. This will be achieved by automating the collection, validation, and reporting of energy savings data related to lighting, air conditioning, heat pumps, and batteries. The platform aims to reduce manual processing time, minimize errors, and ensure compliance with regulatory requirements, ultimately leading to improved accuracy in reporting and increased energy efficiency. 

A cloud based ERP system for a door manufacturing company. It manages overall business operations starting from inventory management, quotations, sales and purchase orders, catalog management, invoicing, payment and warehouse management. BI Reporting is also part of this solution which are providing useful business insight and help in taking informed business decision.

Predictive Dialing system has been developed for Australia based Real Estate & Financial Services provider. The main objective of this system is to increase efficiency of business operation by 35%-40% by managing calls based on predictive dialing concept. By eliminating delaying factors like no answer, wrong calls, dnc, etc. automatically, system is connecting telemarketing team with available customers directly, hence an increase in productivity.

Solution is designed for an aesthetics clinic chain, allowing patients to browse multiple treatment options and packages based on their specific skin concerns.