AI assistant for brokers, trading floors and real estate developers
Are you facing these problems?
Project information keeps changing
Unit lists, prices and policies change; brokers misremember or use outdated versions.
Leads from many channels get mixed up
Facebook, Zalo, hotline, forms: duplicates, missing information, slow responses.
Replying to customers after hours
Customers get interested in the evening but advisers can only reply the next day.
Manual business reports
Summarize views, appointments and transactions from many spreadsheets.
Four concrete scenarios
Each scenario comes with an example question and the result you get.
Project information base
Gather unit lists, floor plans, policies and progress into a wiki Q&A with sources.
"Is the high-floor corner unit still available, and what is the first-installment payment policy?" → cites the unit list and current policy.
First-line advice on Zalo
Answer basic questions, capture needs and pass the customer to the right broker.
A customer asks about price and location → the assistant answers with public information and asks to schedule a visit.
Standardize and classify leads
Gather leads from many channels, remove duplicates and tag interest levels so the team can prioritize.
Form + Zalo + hotline → one unified lead list.
Reports for team leads
Summarize consultations, appointments and conversion rates from all sources.
"This week's leads by project and source?" → a summary table.
What to include, and what to consider
We classify data into 3 levels from the survey session. See also the AI usage policy.
Suitable to load
- Public project information, approved unit lists, sales policies
- Consulting processes and reply scripts
- Aggregated figures
Needs careful consideration or is not advised
- Customers' ID documents, legal and financial records on public AI
- Unpublished agreement information
- Personal data without consent
Start small, expand under control
Project and channel survey
Identify priority projects, lead sources and management systems; classify data.
Pilot for one project
Build the information base and an initial advisory bot for one project.
Expansion and training
Add projects, standardize leads and reports; train the sales team.
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Business solutions overview
Support roadmap, ways to work together and general questions.
For real estate
Does the AI quote prices to customers on its own?
Answers only from approved information in the data store, with sources; sensitive content such as final prices can be set so a broker confirms it.
Is customer data safe?
Data is stored on the agency's infrastructure; identifying information is not put on public AI platforms.
Can it connect to Zalo and our existing forms?
Yes, through Zalo OA and the built-in connections or custom MCP.
How much does it cost?
The software carries no license fee; costs include the server, AI models and deployment services, quoted after the survey.
Get started with MienTay Media
Choose your type and we will contact you to schedule a survey and advise a suitable plan.
The sign-up form below is currently in Vietnamese. Fields: type (business / state agency), organization name, contact person and title, phone/Zalo, email, staff size, priority areas, needs, and a required consent box. Prefer English? Email hello@mientaymedia.com or call 0976 788 840 (Zalo available) and we will reply in English.