Construction AI & Engineering 5 Weeks

AI-Powered Bill of Quantities (BOQ) Breakdown & Estimation Engine for Construction

Executive Summary

Engineered an AI-powered document intelligence system performing automated BOQ item extraction, dimensional breakdown, materials takeoff, and cost estimation.

The Challenge & Problem Statement

What obstacles or performance bottlenecks existed prior to intervention?

Tender estimation for large-scale infrastructure projects required weeks of manual engineering calculations to decompose complex BOQ items, with high risk of pricing errors.

Engineering Solution & Architecture

How we engineered the architecture and built the solution

Designed a deep language and document AI pipeline that parses engineering tender documents, decomposes every item into labor/materials/equipment cost trees, and exports structured data to ERPNext.

Measurable Impact & Results

Quantifiable business outcomes and system benchmarks

85% reduction in tender study and BOQ item breakdown turnaround time

Quantity takeoff and cost decomposition precision achieved 98.7%

Capacity to process massive tenders with over 5,000 items in minutes

Automated cost breakdown structure (CBS) generation synced with accounting

"The AI BOQ breakdown tool saved our tendering team weeks of grueling calculations and sharply improved the accuracy of our commercial bids."

Head of Tendering & Contracts

Technologies & Tools Used:

Python Generative AI / LLMs Document AI ERPNext v16 Frappe Pandas REST APIs

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