Three real estate analysts connected an AI bot to transcribe and analyze 400 calls: a month of manual work turned into 1 day — 2 hours of report review (−97%). The strategy is now updated every 2 months instead of every 6, demand shifts are caught faster, and advertising is tuned more precisely. Industry case studies confirm 70–80% savings on call reviews.
Monthly savings:
- Labor costs: ~79 hours (80 h → 1 h)
- Budget: ~85,900 RUB (−86,000 RUB labor − 1,000 RUB infra)
Client
A regional real estate company (buying, selling, renting, transaction support, appraisal), operating in 10 regions of the Volga and Central Russia.
Objectives
- Segment the client audience.
- Identify the main problems, pains, and needs of each segment.
- Optimize the process of analyzing client feedback.
Initial Situation
- Client inquiry analysis was performed manually by 2–3 employees.
- 50–100 calls per segment required listening and transcribing.
- The process took up to 1 month and was conducted every six months due to high labor intensity.
- Manual analysis cost 200–250 thousand RUB per cycle.
Deployed AI Solution
- Automatic analysis of 400 calls (50 per segment) using AI.
- Identification of keywords and semantic core, verification with the client.
- Identification of client problems, needs, and complaints based on keywords.
- Development of evaluation and ranking criteria for inquiries considering business priorities.
- Identification of the top 3 inquiry groups and top 5 specific inquiries within each group.
Results
- 15 key inquiries identified for building marketing strategy and creative assets.
- The company received relevant insights for systematic strategy updates every 2 months.
- Analysis time reduced to 1 day instead of 1 month; employee resources freed up.
- Analysis cost dropped to 2,000 RUB (AI service subscription) + 1 day of specialist work.
- The AI solution scales across the entire process through chatbot integration.
Conclusions
Deploying AI for client inquiry analysis enabled the company to accelerate target audience research 10×, receive relevant insights 3× more frequently, restructure the marketing strategy, and improve its effectiveness. At the same time, analysis costs dropped by 95%, and employee resources were freed up for more productive work.