Estimate Construction Costs from Revit/IFC Models with GP-4 and Cloud - n8n Workflow | Neura Market

    Estimate Construction Costs from Revit/IFC Models with GP-4 and Cloud

    Estimate **material price** and **total cost** for grouped BIM/CAD elements using an **LLM-driven** analysis. The workflow accepts an existing **XLSX** (from your model) or, if missing, can trigger a local **RvtExporter.exe** to generate one. It enriches each element group with quantities, pricing, confidence, and produces a **multi-sheet Excel** report plus a polished **HTML executive report**. ## What it does - **Reads grouped element data** (from XLSX or extracted via `RvtExporter.exe`). - Builds **enhanced prompts** with clear rules (volumes/areas are already aggregated per group). - Calls your selected **LLM** (OpenAI/Anthropic/etc.) to identify materials, pick the pricing unit, and estimate **price per unit** and **total cost**. - **Parses AI output**, adds per-group KPIs (cost %, rank), and aggregates **project totals** (by material, by category). - Exports a **multi-sheet XLSX** and an **HTML executive report** (charts, KPIs, top groups). ## Prerequisites - **LLM credentials** for your chosen provider (e.g., OpenAI, Anthropic). Enable exactly one chat node and connect credentials. - **Windows host** only if you want to auto-extract from `.rvt/.ifc` via `RvtExporter.exe`. If you already have an XLSX, Windows is **not required**. - Optional: Internet access on the LLM side for price lookups (model/tooling dependent). ## How to use 1. **Import** this JSON into n8n. 2. Open the **Setup** node(s) and set: - `project_file` - path to your `.rvt/.ifc` or to an existing grouped `*_rvt.xlsx` - `path_to_converter` - `C:\\DDC_Converter_Revit\\datadrivenlibs\\RvtExporter.exe` (optional) - `country` - used to guide price sources/standards (e.g., `Germany`) 3. In the canvas, **enable one LLM node** (e.g., OpenAI or Anthropic) and connect credentials; keep others disabled. 4. **Execute workflow** (Manual trigger). It will detect/build the XLSX, run analysis, then write the **Excel** and open the **HTML** report. ## Outputs - **Excel**: `Price_Estimation_Report_YYYY-MM-DD.xlsx` with sheets: - `Summary`, `Detailed Elements`, `Material Summary`, `Top 10 Groups` - **HTML**: executive report with charts (project totals, top materials, top groups). - Per-group fields include: *Material (EU/DE/US), Quantity & Unit, Price per Unit (EUR), Total Cost (EUR), Assumptions, Confidence*. ## Notes & tips - Quantities in the input are **already aggregated per group** - do **not** multiply by element count. - If you prefer XLSX-only extraction, run your converter with a `-no-collada` flag upstream. - Keep ASCII-safe paths and ensure write permissions to the output folder. ## Categories Data Extraction Files & Storage AI CAD/BIM Cost Estimation ## Tags `cad-bim`, `price-estimation`, `cost`, `revit`, `ifc`, `xlsx`, `html-report`, `llm`, `materials`, `qto` ## Author [DataDrivenConstruction.io](https://DataDrivenConstruction.io) [info@datadrivenconstruction.io](mailto:info@datadrivenconstruction.io) ## Consulting and Training We work with leading construction, engineering, consulting agencies, and technology firms around the world to help them implement open data principles, automate CAD/BIM processing, and build robust AI pipelines. If you would like to test this solution with your own data, or are interested in adapting the workflow to real project tasks, feel free to contact us. **Docs & Issues:** [Full Readme on GitHub](https://github.com/datadrivenconstruction/cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto)

    Platform
    n8n
    Category
    Other
    Price
    Free
    Creator
    Artem Boiko
    • if
    • set
    • code
    • merge
    • stickyNote
    • manualTrigger
    • executeCommand
    • readBinaryFile
    • splitInBatches
    • agent
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    How to import this workflow into n8n

    1. 1Purchase or download the workflow to get the n8n workflow JSON file.
    2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
    3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
    4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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