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.
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 core problem was a deeply manual estimation process. Senior quantity surveyors spent 4β6 hours per quote manually calculating materials, labor, equipment, access complexity, and safety scaffolding requirements. At 30β50 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.
We approached this as an AI-native problem from the start β not as a software project with AI bolted on.
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.
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.
Engineers can upload site plans or CAD drawings. Our computer vision model identifies scaffolding zones, calculates linear meters, and auto-populates the estimate template.
The system produces a fully formatted, branded PDF quotation in under 4 minutes β complete with scope breakdown, terms, validity period, and approval workflow.
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.
Seamless two-way sync with their existing ERP for purchase orders, supplier invoicing, and project cost tracking upon contract award.
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