Case study · Concept build

Brokerage command center

Industry
Real estate
Platform
Custom dashboard
Product type
Dashboard

Introduction

A 40-agent brokerage closes around 300 deals a year. The numbers live in three places: the CRM, the MLS export and QuickBooks. Every Monday the managing broker spends half a day stitching them into one report.

The dashboard replaces that report with one screen that updates itself, and flags the deals that are quietly stalling.

Three systems and a Monday spreadsheet

Each system counts deals slightly differently, so the totals never match and meetings start with an argument about whose number is right.

Commission splits are calculated in a separate spreadsheet, which means mistakes surface only when an agent questions a payment.

Deals that sit too long at the offer or closing stage are only noticed when they fall through.

What we would build

  • Live pipeline. Every deal by stage with value and days in stage, pulled from the CRM.
  • Agent leaderboard. Listings, sales and commission per agent, updated hourly.
  • Stuck deal alerts. Deals that sit too long in one stage are flagged with their owner and a next step.
  • Commission calculator. Splits are calculated from the agreed rules and checked against QuickBooks.
Another screen

Inside the brokerage command center.

The dashboard replaces that report with one screen that updates itself, and flags the deals that are quietly stalling.

  • Live pipeline
  • Agent leaderboard
  • Stuck deal alerts
  • Commission calculator

Concept screen · sample data

Technical decisions

  • One definition per number. We agree with the broker exactly how each number is counted, then every screen uses that rule.
  • Hourly sync. The CRM and QuickBooks are read every hour, so nobody exports anything.
  • Weekly email. A short summary lands in the broker's inbox every Monday at 7am.
ReactCRM APIQuickBooks OnlinePostgresScheduled email reports

What should change after launch

Before

  • Half a day every Monday building the report
  • Totals that never match between systems
  • Commission errors found by agents
  • Stalled deals noticed too late

After

  • The report builds itself every hour
  • One set of numbers everyone trusts
  • Commission checked before it is paid
  • Stuck deals flagged while they can be saved

Try the demo

This part is working software with sample data. Click around.

brokerage.liveSample data

Active deals39

Pipeline value$17.6M

Stuck deals2

Lead18$7.2M
Showing11$4.9M 14 Oak Lane · 19 days
Offer6$3.1M
Closing4$2.4M 88 Bay St · 31 days

What this means for real estate

A brokerage runs on a few numbers: pipeline, conversion and commission. If those numbers take hours to assemble and still start arguments, a small connected dashboard pays for itself quickly.

Typical timeline: 3 to 6 weeks. Price: Starter app, from $5,000.

Concept build: this page shows what Myriah would build for this kind of business. Screens use sample data, the story describes a typical business rather than a named client, and numbers are targets, not results.

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