BIM-based cost estimating: how to avoid errors and reduce costs by 10–15%
BIM-based cost estimating: how to avoid errors and reduce costs by 10–15%
The classic problem: designers model one thing, estimators calculate another, and contractors build a third. This leads to cost overruns, disputes, delays, and discrepancies in material quantities.
BIM-oriented cost estimating solves this issue by taking quantities, specifications, and data directly from the model.
Why model-based estimates are more accurate
When the model is structured, correctly filled out, and compliant with standards, the estimator receives:
Actual work volumes
Precise specifications
Up-to-date materials and elements
Automated calculations and schedules
This eliminates subjectivity and manual errors.
What prevents model-based estimating
Key challenges include:
Incorrect model structure
Empty or incorrect parameters
Lack of unified classification systems
Disorganized libraries
Until these are addressed, model-based estimating is impossible.
Tools that make estimating fast and accurate
Modern solutions like Larix automate:
Quantity calculations
Preparation of local estimates
Specifications
Resource schedules
Cost accounting and comparative analysis
How NLB Company helps take estimating to the next level
NLB Company works with the Larix estimating platform and structures the process so that the model truly becomes the source of all data:
BIM model audit before estimating
Configuration of classifiers, parameters, and filling rules
Integration of Larix into company workflows
Training estimators and designers to work collaboratively
Data quality control to ensure accurate calculations
The result: fewer errors, fewer disputes, and a real reduction in design and construction costs.
BIM-based cost estimating: how to avoid errors and reduce costs by 10–15%
The classic problem: designers model one thing, estimators calculate another, and contractors build a third.
This leads to cost overruns, disputes, delays, and discrepancies in material quantities.
BIM-oriented cost estimating solves this issue by taking quantities, specifications, and data directly from the model.
Why model-based estimates are more accurate
When the model is structured, correctly filled out, and compliant with standards, the estimator receives:
This eliminates subjectivity and manual errors.
What prevents model-based estimating
Key challenges include:
Until these are addressed, model-based estimating is impossible.
Tools that make estimating fast and accurate
Modern solutions like Larix automate:
How NLB Company helps take estimating to the next level
NLB Company works with the Larix estimating platform and structures the process so that the model truly becomes the source of all data:
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