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SGC TECH AI

SGC

Practitioner-led Odoo & AI for UAE mid-market.

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CASE STUDY · REAL ESTATE BROKERAGE · UAE

What ROI can a brokerage expect from an Odoo ERP?

A 65-person UAE brokerage achieved 445% first-year ROI with a 2.2-month payback after SGC deployed an end-to-end Odoo ERP integrated with its existing Bitrix CRM. Year one: AED 39.89 million in brokerage revenue processed, AED 1.64 million in net savings, 75% less manual work and roughly 248 back-office hours released per week.

At a glance

  • ✓445% Year-1 ROI; the investment paid back in 2.2 months
  • ✓AED 1.64M Year-1 net savings; AED 9.67M projected over five years
  • ✓~248 back-office hours released per week; 75% less manual admin
  • ✓AED 897,419 in annual billing losses prevented; billing errors down 90%
SGC Tech AI· Client anonymized on request · figures from a signed case study· Published 1 October 2026· Updated 1 October 2026

What was the starting point?

The brokerage ran on spreadsheets, handwritten records, printed documents and manually assigned tasks. Bitrix handled CRM and lead distribution but was not connected to accounting, deal management or invoicing, and there was no standardized invoicing or structured follow-up process.

The back office — eleven people — was spending an estimated 247.5 hours per week on repetitive administrative work. The estimated annual operational burden was AED 2.47 million, with recurring disputes across deals, invoices and commissions.

What did SGC build?

An end-to-end Odoo ERP covering finance, invoicing, brokerage, property, HR, reporting and administration — with the existing Bitrix CRM kept for lead capture rather than replaced.

Once an opportunity moved into an active transaction, the client, property, agent, agency, deal, supporting documents, invoicing, payment records, commission and follow-ups were connected into a single digital record — alongside standardized invoicing and approval workflows, automated payment tracking, AI-assisted customer classification, HR and payroll, e-learning, central calendars and management dashboards.

Where did the 445% ROI come from?

From measurable operating gains in year one: AED 1.64 million in net savings against the total investment, a 66% operating-cost reduction, and a 90% reduction in billing errors and revenue leakage — including AED 897,419 in annual billing losses prevented.

The client's own summary: for every AED 1 invested, approximately AED 5.45 came back in gross operational benefits. The five-year projected net savings figure is AED 9.67 million.

What happened to the released hours?

Roughly 248 back-office hours per week were released by automating repetitive admin. The client redirected that capacity into sales support and collections rather than headcount reduction.

Manual administrative work fell 75% from the pre-engagement baseline of 247.5 hours per week, re-measured after go-live.

Results at a glance
OutcomeResult
Brokerage revenue processed through ERPAED 39.89M
First-year net savingsAED 1.64M
First-year ROI445%
Payback period2.2 months
Operating-cost reduction66%
Manual administrative work reduction75%
Billing errors & revenue leakage−90%
Employee hours released per week~248
Estimated annual billing losses preventedAED 897,419
5-year projected net savingsAED 9.67M

“For every AED 1 we invested, we received approximately AED 5.45 in gross operational benefits. The ERP paid for itself in 2.2 months and released capacity we redirected straight into sales support and collections.”

Real-estate brokerage · Management

Frequently asked questions

How is the 2.2-month payback calculated?

It is the time for first-year net savings (AED 1.64 million) to exceed the total investment in the deployment, per the signed case study. It is measured from the client's live system, not projected.

How were the ~248 hours per week measured?

The pre-engagement baseline was an estimated 247.5 back-office hours per week spent on repetitive administrative tasks. The post-go-live measurement showed a 75% reduction, which is how the released-hours figure is derived.

Did AI make decisions in this deployment?

AI handled low-risk assistance — customer classification, reminders and notifications. Higher-stakes decisions keep human review, consistent with the verification tiers SGC publishes for AI automation.

Was anyone made redundant?

No. The engagement released capacity; the client redirected it into sales support and collections, as quoted in the signed case study.