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Development of a Client-Centric Advisor Scheduling and Network Management Portal
  1. case
  2. Development of a Client-Centric Advisor Scheduling and Network Management Portal

Development of a Client-Centric Advisor Scheduling and Network Management Portal

launchpadlab.com
Financial services
Business services

Identifying Challenges in Delivering a Seamless Digital Client Engagement Experience

The client primarily relies on high-touch, personalized service, but client expectations for automated, responsive digital interactions have increased. Current manual communication methods, such as calls and emails, result in inefficiencies, increased errors, and limited scalability. The existing platform lacks the customization and scalability to support future growth, hindering the ability to provide a high-quality, automated client experience.

About the Client

A premium financial advisory firm specializing in connecting private equity investors with industry experts to streamline investment processes and enhance client engagement.

Goals for Building an Automated, Scalable Advisor Engagement Platform

  • Increase the percentage of new client engagements booked via the digital platform to over 85% within six months.
  • Automate 95% of client-advisor communication processes, including scheduling and notifications.
  • Reduce the time spent on appointment coordination by 90%, cutting scheduling duration from 20-25 minutes per client to 2-3 minutes.
  • Enhance internal efficiencies, allowing team members to manage higher client volumes and focus on high-value tasks.
  • Develop a flexible, scalable platform capable of supporting future growth and additional features such as recommendation algorithms.

Core Functional Requirements for the Advisor Scheduling and Network Platform

  • Client appointment scheduling system with real-time sync and automated notifications.
  • A comprehensive, searchable advisor network with contact, ratings, and note-taking capabilities.
  • Advisor availability management allowing advisors to set and update their schedules instantly.
  • Automated email triggers to inform relevant parties of scheduled meetings.
  • Backend admin panel for internal team to manage platform content, user feedback, and updates efficiently.
  • Integration with existing customer relationship management (CRM) systems to synchronize client and advisor data.

Recommended Technologies for Building a Scalable, Custom Advisor Portal

Open-source software frameworks for full customization support.
React JavaScript library for building a responsive, high-performance front end.
Cloud platforms such as Heroku and Heroku Connect for seamless deployment and data synchronization.
PostgreSQL database for reliable, scalable data management.
Flexible API architecture to enable integrations and future feature additions.

Necessary System Integrations for Seamless Data and Functionality

  • CRM platform integration for data synchronization (client and advisor profiles, activity histories).
  • Email notification system for automated communication triggered by scheduling events.
  • Calendar and availability services to manage advisor schedules in real-time.

Key Non-Functional System Requirements for Performance and Scalability

  • High responsiveness with a user interface optimized for multiple devices, including desktops and mobile devices.
  • Scalability to support increasing client and advisor user volumes without performance degradation.
  • Data security and privacy compliance, ensuring sensitive client and advisor data are protected.
  • System reliability with 99.9% uptime to support continuous client engagement.

Expected Business Benefits and Performance Improvements from the Platform

By deploying this platform, the organization aims to significantly enhance client experience, achieving over 85% of new client engagements booked through the system within six months. It is expected to automate 95% of scheduling communications and reduce appointment coordination time by 90%, freeing internal resources for higher-value activities. The scalable architecture supports future growth and feature expansion, ultimately driving increased client satisfaction, operational efficiency, and revenue growth.

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