Streamlining and Optimizing Real Estate Agent Booking and Workflows

99.99%

System High Availability

3x

Increase Productivity

99.99%

Robust Payment System
Transforming real estate agents workflows with CRM

Real Estate CRM Development to Facilitate Business Growth

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Customer Overview

The client is an award-winning realtor and residential broker based in Chicago, serving a growing network of independent real estate professionals. To support this workflow, they needed a modern Real Estate Agent Scheduling App that could streamline coordination and strengthen appointment scheduling for real estate agents involved in showings, open houses, and routine broker tasks. As demand increased, the existing website-based real estate workflow, which involved manual searches, availability checks, and ad-hoc scheduling, became too slow for field operations. The client needed a more intelligent real estate booking system that could match booking agents with qualified peer agents based on real-time availability, location, and MLS-driven property context.

Project Overview

The client wanted to replace a manual, fragmented workflow with a unified Real Estate Agent Scheduling App that also acted as a scalable real estate booking system. The app needed to allow agents to instantly search for qualified peers, view real-time schedules, and assign tasks with transparent fees. The goal was to build a scalable application that automated peer-agent booking, improved real estate agent workflow visibility, supported task assignment and payments, and delivered a smooth experience for both booking agents and sub-agents (peer agents). The project focused on creating a reliable operational backbone that could support business growth and reduce manual coordination overhead.

Challenges

The core challenge was building a real-time operational backbone that could support a Real Estate Agent Scheduling App, capable of coordinating property data, agent availability, bookings, and payments without delays or inconsistencies. The platform needed to unify MLS data, live schedules, real estate agent workflow logic, and secure transactions in a way that worked seamlessly for both booking agents and sub-agents.

  • The platform needed to synchronize MLS property data, agent availability, booking information, and workflow updates in real time without delays or mismatches—key requirements for maintaining an efficient cloud workflow for real estate teams.
  • MLS property data had to be cloned, refreshed through scheduled jobs, and filtered accurately to support precise agent and property searches.
  • The system needed to reliably surface booking states—current, upcoming, newly assigned—and update them instantly as task statuses changed. This also required advanced CRM workflows for realtors to ensure that every booking, update, and task action reflected instantly across the system.
  • Each agent’s MLS feed and activity stream had to be displayed with real-time accuracy while enabling sub-agents to accept or decline tasks.
  • Secure, seamless payment handling was required for per-task transactions initiated by booking agents.

Solution

The solution combined a unified cross-platform Real Estate Agent Scheduling App, a secure and scalable backend, and a real-time operational layer that connected MLS data, agent workflows, payments, and notifications. This architecture enabled a complete cloud workflow for real estate teams, ensuring seamless communication and fast task execution. Using Flutter, a Spring-based backend, and AWS-driven DevOps, TenUp delivered a fast, reliable system that automated peer-agent booking end-to-end while maintaining accuracy, performance, and seamless user experience across all touchpoints.

  • Built the mobile application using Flutter 3.0 to deliver a single codebase across iOS and Android, with native performance on Apple Silicon and Intel architectures.
  • Designed a fast, consistent user experience using Flutter’s stable APIs and hot-reload capabilities, enabling high-quality UI, smooth navigation, and rapid iteration.
  • Implemented a backend stack using Java, Spring Boot, Hibernate, and Spring Security to support reliable real estate crm workflows, data security, and scalable API operations.
  • Developed the admin dashboard using Angular with Bootstrap and SCSS to manage agents, bookings, and operational data through a browser-based interface.
  • Integrated AWS CodeBuild and CodePipeline to automate CI/CD for both the API and Web API, reducing deployment overhead and ensuring predictable releases.
  • Synced MLS property data into the system using real estate APIs, with scheduled jobs to maintain freshness and support property-level filtering.
  • Implemented Firebase for push notifications and messaging to keep booking agents and sub-agents updated on new tasks, status changes, and confirmations.
  • Integrated Google Maps to ensure accurate location tracking and improve agent matching based on proximity.
  • Enabled secure, seamless payments by integrating Stripe to process per-task fees between booking agents and sub-agents.
  • Implemented AWS SES for email communication across registration, booking updates, and workflow notifications.

Benefits

The Real Estate Agent Scheduling App delivered meaningful operational improvements by enhancing appointment scheduling for real estate agents, eliminating manual coordination, strengthening real-time visibility, and creating a smoother experience for both booking agents and sub-agents.

  • Faster go-to-market through an optimized tech stack and efficient cross-platform development.
  • High application stability and availability, supporting uninterrupted field operations.
  • Real-time visibility into agent availability, schedules, and MLS-driven filters, enabling quick task assignment.
  • Streamlined real estate workflow that eliminated manual coordination and reduced dependency on calls and informal scheduling.
  • Improved agent communication and higher booking completion rates through integrated notifications and in-app task handling.
  • Increased accessibility and user adoption enabled by a unified mobile experience across iOS and Android.
  • Delivered a scalable foundation that supports business growth and maintains accuracy across bookings, tasks, and data updates.

Technology

  • Flutter 3.0
  • Java
  • Spring Boot
  • Hibernate
  • Spring Security
  • PostgreSQL
  • Angular
  • Bootstrap
  • SCSS
  • Firebase
  • Google Maps
  • Stripe
  • MLS Real Estate APIs
  • AWS SES
  • AWS CodeBuild
  • AWS CodePipeline

Industry

  • Real Estate
Enhancing resource management with real estate CRM

Conclusion

TenUp delivered a scalable Real Estate Agent Scheduling App that streamlined the client’s end-to-end operations and unified their entire real estate agent workflow into one automated, real-time system. By combining Flutter 3.0 with a powerful backend and continuous MLS synchronization, the solution removed manual coordination, improved agent matching, and ensured fast, reliable task execution. The platform now enables booking agents and sub-agents to operate with greater accuracy, reduced friction, and improved service quality, creating a future-ready foundation for long-term growth.

Frequently asked questions

What is a Real Estate Agent Scheduling App, and why do growing real estate teams need one?

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A Real Estate Agent Scheduling App is a real-time tool that automates showings, appointments, and agent availability. Growing teams need it to eliminate manual coordination, speed up response times, reduce no-shows with automated reminders, and keep all schedules and tasks organized in one place.

What are the biggest problems with manual real estate workflows?

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Manual real estate workflows lead to slow response times, frequent errors, double bookings, and missed tasks because schedules and updates aren’t synced in real time. They create bottlenecks, limit scalability, and force teams to rely on calls, texts, and spreadsheets, resulting in inconsistent service quality and poor client experiences.

How does automating appointment scheduling for real estate agents improve productivity?

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Automating appointment scheduling boosts productivity by eliminating manual coordination, preventing double bookings, and sending instant confirmations and reminders. It frees agents from repetitive admin work, speeds up response times, and ensures every showing or task is booked accurately, allowing agents to focus on clients, not calendars.

What features should a modern real estate booking system include?

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A modern real estate booking system should offer real-time MLS syncing, live availability, and automated scheduling to prevent conflicts. It should include location-based agent matching, secure payment handling, instant notifications, and mobile access for field teams. Together, these features ensure faster bookings, fewer errors, and seamless agent-to-client coordination.

How does a cloud workflow for real estate teams reduce operational overhead?

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A cloud workflow reduces overhead by centralizing schedules, property data, bookings, and payments into one real-time platform. It eliminates fragmented tools, prevents data mismatches, and automates routine tasks, allowing teams to collaborate faster and handle higher volumes without adding administrative burden.

Can a real estate CRM workflow be customized to fit different brokerage models?

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Yes. A real estate CRM workflow can be fully customized to match any brokerage model—whether independent, team-based, or franchise. It can adapt lead routing, task assignments, showing workflows, and payment rules based on how each brokerage operates, ensuring every team runs on processes tailored to their structure.

How does integrating payments (like Stripe) into agent workflows improve transparency?

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Integrating payments like Stripe gives agents real-time visibility into fees, payouts, and task transactions. It creates an automatic audit trail, reduces disputes, and ensures every booking is tracked from start to finish with clear, verifiable financial records.

How does automating agent-to-agent task assignments support brokerage growth?

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Automating agent-to-agent task assignments speeds up workflow handoffs, reduces errors, and keeps workloads balanced across teams. As task volumes grow, automation ensures consistent service quality and lets brokerages scale without adding operational strain or extra administrative staff.

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