Real Estate Agencies/Developers: From "Property Consultant Army Tactics" to "AI Property Consultant 24h Online"

AI Property Consultant is a 7×24 hour online gold salesperson, core capabilities include: ① Comprehensive property knowledge Q&A (floor plan/price/supporting/school district, etc.); ② Intelligent mortgage/tax calculator, instantly generate multiple plan comparisons; ③ Surrounding facilities real-time query (subway/school/commercial/medical); ④ Customer intent auto grading (A/B/C/D four levels); ⑤ Proactive demand mining and property recommendations. Compared with traditional customer service: response from hour-level → second-level, knowledge coverage from personal experience → full library data, service time from 8 hours → 24/7. New agents can reach 3 months of veteran experience level within 3 days. See Products for details.

Enterprise AI Workstation has built-in latest mortgage rate policy engine, covering three modes: commercial loan/provident fund/combined loan. After customers input property price, down payment ratio, and loan term, AI instantly generates monthly payment details, total interest, repayment schedule and other multi-dimensional comparison plans. Tax calculation integrates deed tax standards from various cities (first home 1-1.5%, second home 2-3%, etc.), value-added tax rules, personal income tax policies. Interest rate data and tax standards automatically update monthly, ensuring complete consistency with current policies, eliminating manual table lookup calculation error risks.

Can be deeply linked. When customers click on any room or area during VR property viewing, AI synchronously explains the space's area, orientation, lighting analysis, decoration suggestions, surrounding facilities and other information. Supports voice interaction—customers can directly ask "how big a sofa can fit in this living room" "how far is the master bedroom from the subway station", AI instantly answers based on property knowledge base. A developer's actual test data shows: VR+AI linked customer average stay time increased 2.3 times, property viewing appointment conversion rate improved 35%. Can integrate with mainstream VR platforms like Rushi, Ruyu, etc.

Through API real-time integration with sales control system to achieve zero-delay data synchronization. Price adjustments, property status changes (for sale → sold → removed), promotional policy updates and other information modified in the source system, AI knowledge base automatically takes effect within 5 minutes, ensuring 100% accurate information for customers. Completely solves the pain point of "prices seen online changed at the sales office", avoiding customer complaints and disputes caused by expired information. Also supports manual batch Excel import updates.

Yes. Enterprise AI Workstation's intent grading system automatically evaluates customer home purchase intent level based on conversation content (A high intent/B medium intent/C preliminary understanding/D inquiry only), identifies key decision factors (budget/location/school district/investment preference). A-level leads are prioritized and pushed to senior property consultants for follow-up, B/C levels are continuously nurtured and maintained by AI, D level archived for periodic return visits. All conversation records are completely retained and synced to CRM system, property consultants can directly check night-time AI-organized customer summaries after starting work, seamless connection.

Absolutely. Full-channel messages unified aggregated to AI workbench, including: official website online customer service, WeChat public account/mini program, 58 Anjuke/Beike and other real estate platform IM, TikTok private messages, phone-to-text, etc. No matter which channel customers come from, AI provides consistent professional answers based on the same property knowledge base, while automatically marking source channels for subsequent data analysis. Flagship version supports 5+ channels simultaneous access, private version unlimited.

AI can assist in contract terms preliminary review, quickly identifying abnormal or risk clauses (such as abnormal penalty ratio, ambiguous handover time, supplementary agreement traps, etc.), and marking risk levels for legal review. But it needs to be clear: AI preliminary review does not replace professional lawyer review, for major Legal issues it will prompt "recommend consulting legal department". The higher the standardization degree of contract templates, the higher the AI preliminary review efficiency. A large agency group's actual test contract preliminary review efficiency improved 5 times, manual review volume reduced 70%.

This is one of our strengths. The knowledge engine pre-loads real estate policy database for 300+ cities nationwide, including purchase restriction conditions (household registration/social security/tax payment years), loan restriction policies (down payment ratio/loan limit), talent home purchase preferences, provident fund withdrawal rules, etc. When customers ask "what restrictions for non-local household to buy in Shanghai" "how much down payment for second home", AI precisely matches latest policies based on city to answer. Policy data reviewed and updated every two weeks, major regulatory adjustments completed within 24 hours of release.

Real data from deployed customers: ① Evening lead conversion rate improved 40% (capture after-work golden consultation period); ② New agent growth speed improved 30 times (3 days reaches 3 months veteran level); ③ Response time shortened from average 4 hours to 20 minutes; ④ Property information accuracy 100% (API real-time sync); ⑤ Single agent daily average effective reception volume improved 2-3 times. Estimated with 50-person team scale, annual efficiency value about 3-5 million yuan (including transaction increment + labor savings + management efficiency). We provide 7-day free trial verification.

Complete implementation cycle is 2-3 months. Specific rhythm: Week 1-2—demand research + existing property materials collection (floor plans/price lists/supporting information) + target city policy review; Week 3-4—property knowledge base construction + mortgage calculator configuration + multi-channel access integration; Week 5-6—intent grading model training + CRM system integration + internal testing; Week 7 onwards—gray release (first run through 1-2 properties) → full launch → data-driven continuous optimization. If property materials are complete and IT cooperation is high, basic version can go live in 4-6 weeks.