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Construction & Engineering Β· Saudi Arabia, KSA
AI/ML Solutions Custom Software Dev Process Automation

From 4-hour estimates to 4-minute quotes β€” powered by AI.

A major KSA scaffolding enterprise needed to win more bids, faster. Manual estimation was taking 4+ hours per quote, causing delays, errors, and lost contracts. Zyrova architected an AI-powered estimation engine that transformed their competitive position.

ClientResa Gulf Scaffolding
Duration6 Months
Team Size8 Engineers + 1 PM
Year2024
85% Faster Estimates From 4+ hours to under 4 minutes per quote
99% Pricing Accuracy vs. 87% baseline with manual process
3Γ— Bid Volume Monthly quote capacity tripled with same team
SAR 12M+ New Contracts First 6 months post-launch revenue impact
Project Overview

The Engagement

Resa Gulf Scaffolding is one of the Eastern Province's leading scaffolding contractors, serving oil & gas, petrochemical, and industrial construction projects across Saudi Arabia. With a growing pipeline of enterprise contracts under Vision 2030 infrastructure programs, they needed to dramatically accelerate their bid-to-contract cycle without compromising accuracy.

The Challenge

The core problem was a deeply manual estimation process. Senior quantity surveyors spent 4–6 hours per quote manually calculating materials, labor, equipment, access complexity, and safety scaffolding requirements. At 30–50 quotes per month, this consumed enormous senior talent bandwidth, introduced inconsistency, and β€” critically β€” caused the company to lose bids simply because competitors responded faster. There was no system of record, no pricing intelligence, and no way to learn from won or lost bids.

Technology Stack
Tools & Platforms Used
PythonFastAPIReactPostgreSQLClaude APIAWS S3DockerTensorFlowRedisn8n

Services Delivered
AI/ML Solutions Custom Software Dev Process Automation

MarketπŸ‡ΈπŸ‡¦ Saudi Arabia, KSA
IndustryConstruction & Engineering
Duration6 Months
Year2024
Our Approach

How We Solved It

We approached this as an AI-native problem from the start β€” not as a software project with AI bolted on.

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Intelligent Scope Analyzer

We built a natural language processing layer that converts project brief text β€” site location, structure type, height, access requirements β€” into a structured scope object, eliminating manual data entry.

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Dynamic Pricing Engine

A real-time pricing engine ingests live supplier data, historical bid data, material cost indices, and labor market rates to generate cost models that are always current.

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Visual Takeoff Module

Engineers can upload site plans or CAD drawings. Our computer vision model identifies scaffolding zones, calculates linear meters, and auto-populates the estimate template.

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Automated Quote Generator

The system produces a fully formatted, branded PDF quotation in under 4 minutes β€” complete with scope breakdown, terms, validity period, and approval workflow.

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Bid Intelligence Dashboard

All quotes feed into an analytics layer that tracks win rates by project type, region, and client β€” giving leadership a live view of commercial performance.

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ERP Integration

Seamless two-way sync with their existing ERP for purchase orders, supplier invoicing, and project cost tracking upon contract award.

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Before Zyrova, we were turning down RFQs because we simply could not respond in time. Now we quote within the hour. The AI doesn't just save time β€” it makes us more intelligent about which bids to pursue and at what price.

Khalid Al-Rashidi Chief Operations Officer Β· Resa Gulf Scaffolding
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