Course : Using AI to Analyze, Forecast, and Anticipate the Residential Real Estate Market

Turn Your Real Estate Data into Strategic Decisions

Practical course - 2d - 14h00 - Ref. AYG
Price : 1680 € E.T.

Using AI to Analyze, Forecast, and Anticipate the Residential Real Estate Market

Turn Your Real Estate Data into Strategic Decisions


New course

Artificial intelligence is profoundly transforming the way real estate markets are analyzed by making it easier to process large volumes of data and accelerating the production of high-value-added analyses. This training course enables housing professionals to use AI to analyze the residential market, conduct a well-reasoned appraisal, and prepare a reliable recommendation for a seller or decision-maker.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. AYG
  2d - 14h00
1680 € E.T.




Artificial intelligence is profoundly transforming the way real estate markets are analyzed by making it easier to process large volumes of data and accelerating the production of high-value-added analyses. This training course enables housing professionals to use AI to analyze the residential market, conduct a well-reasoned appraisal, and prepare a reliable recommendation for a seller or decision-maker.


Teaching objectives
At the end of the training, the participant will be able to:
Identify the relevant data for analyzing a residential real estate market
Leveraging AI to Collect, Organize, and Analyze Real Estate Data
Assessing the Attractiveness of a Residential Area Based on Key Indicators
Provide a well-reasoned estimate based on comparable data
Develop decision-support recommendations based on market analysis

Intended audience
Real estate agents, real estate brokers, agency managers, real estate consultants, real estate developers, program managers, and anyone who analyzes the residential market.

Prerequisites
No specific knowledge required.

Practical details
Interactive presentations illustrated with examples from the real estate sector. Case studies serving as a common thread and professional role-playing exercises. Practical assignments completed individually, in pairs, and in groups.

Course schedule

1
Understanding the Applications of AI in Residential Real Estate Analysis

  • Identify use cases for AI in the housing sector
  • Understanding the Benefits of AI for Market Analysis and Estimation
  • Distinguishing Between Generative AI, Data Analysis AI, and Predictive AI
  • Mapping the Steps of an AI-Assisted Market Research Study
  • Assess the benefits, limitations, and areas of concern
Hands-on work
Launch of the case study: A homeowner wants to sell a residential property. Participants identify the necessary information and the tasks that can be streamlined using AI.

2
Analyzing the Residential Real Estate Market Using Data and AI

  • Identify sources of real estate, economic, and geographic data
  • Analyzing Supply and Demand in the Residential Sector
  • Identify the factors that make a local market attractive
  • Identify trends in price changes
  • Developing Decision-Support Indicators
Hands-on work
Analysis of the sector under study. Use of AI to collect, organize, and synthesize data, and then produce an initial analysis of the local market.

3
Conduct an AI-Assisted Real Estate Appraisal

  • Identify the factors that influence the value of a residential property
  • Search for and analyze comparable properties
  • Using AI to Develop an Estimation Process
  • Prepare a well-reasoned appraisal report
  • Evaluate the consistency and reliability of the results obtained
Hands-on work
Valuation of the property in the case study. Participants analyze comparable properties, formalize their assumptions, and draft a reasoned valuation report.

4
Anticipate market trends and make recommendations

  • Identify the opportunities and risks in the residential market
  • Capitalizing on Weak Signals and Emerging Trends
  • Develop several scenarios for market trends
  • Draft a recommendation for a salesperson or decision-maker
  • Effectively Presenting the Results of a Real Estate Analysis
Hands-on work
Final presentation of the overarching case study: Each team presents its analysis, estimates, assumptions, and recommendation for market launch. Group debriefing.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2026 : 14 Dec.

2027 : 30 Mar., 1 July, 4 Oct., 16 Dec.

PARIS LA DÉFENSE
2026 : 14 Dec.

2027 : 30 Mar., 1 July, 4 Oct., 16 Dec.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.