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Real estate CRM developer for Lebanon & the Gulf

Tarek Abou Rjeily builds custom CRMs for real-estate brokerages in Lebanon and the Gulf — systems designed around how agents actually work: inside WhatsApp. His Invisible CRM turns agents' voice notes into structured client records, answers plain-English questions like "who was looking for a 2-bedroom in Achrafieh under $200k", and, on request, scores which past buyers fit a new listing. Agents never leave WhatsApp; the brokerage finally sees its pipeline.

Decision guideWhatsApp CRM vs HubSpot for a real-estate agency — the honest comparison →

Proof — related shipped work

Frequently asked questions

Why do generic CRMs fail in real-estate brokerages?

Because agents live inside WhatsApp — listings, buyer conversations, and negotiations all happen in chats, and no agent stops mid-deal to re-type it into a CRM form. Tarek Abou Rjeily builds real-estate CRMs that work invisibly behind WhatsApp: agents keep working exactly as before, and the system captures and structures the pipeline for them.

Can the CRM match new listings to past buyers?

Yes. When a new listing comes in, the agent asks the CRM, and it ranks the open buyers whose stored criteria fit: area, property type and budget. This replaces a manual memory check. Automatic match alerts pushed to the agent are the next step and not live yet, and the impact on deal conversion has not been measured or published.

Does it handle Arabic and English conversations?

Yes. The systems are bilingual with native Arabic right-to-left support, and the AI extracts structured records from Arabic, English, or mixed-language chats and voice notes — the reality of how Lebanese and Gulf agents actually communicate.

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Message me on WhatsApp, email tar@tarekrjeily.com, or see all services.