The existing systems were disjointed, lacking seamless integration between internal operations (e.g., managing brokers, listings, and leads) and external client interactions. Clients and prospective buyers had limited visibility into updated business listings and broker information. Manual efforts were required to synchronize data between internal systems and the company’s website, leading to inefficiencies. Additionally, website inquiries were not effectively captured or converted into actionable leads, and the current setup was not scalable for future business growth.
The CRM solution introduced a centralized system to manage broker profiles, business listings, and client inquiries. Brokers gained access to an intuitive interface to track leads and assist clients more efficiently. Real-time data synchronization ensured that updates to listings and broker information were instantly reflected on the website. The website was redesigned to provide a professional, user-friendly experience for prospective buyers, dynamically displaying listings via API integration. A lead capture mechanism was implemented to automatically push inquiries into the CRM, facilitating effective lead conversion.
Jinko Power relied on Microsoft Excel and PowerPoint for managing project tasks, leading to inefficiencies and operational challenges. Manual data entry was time-consuming, prone to errors, and lacked real-time insights, making decision-making difficult. Teams worked on separate spreadsheets, causing communication gaps and delays. As project complexity increased, Excel-based management became unsustainable, hindering scalability.
The Project Management Application introduced an automated tracking and reporting system, eliminating manual data entry. A centralized platform provided real-time project insights, enhancing accuracy and consistency. Cloud-based access enabled multiple users to collaborate efficiently, with task assignments, notifications, and document sharing improving coordination. Interactive dashboards allowed project managers to make data-driven decisions quickly, while the system was designed to accommodate multiple projects seamlessly, ensuring scalability.
