Unetiq | Forest - Automated Planning of Construction Projects

Forest is a web platform for the automated planning and optimization of construction projects. This includes the estimation of expected greenhouse gas emissions as well as the calculation of cost intervals through a self-learning algorithm. The estimation accuracy thereby improves continuously with each new estimation.

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Our application is compatible with your existing IT landscape and supports integration with Excel, SAP, iTWO and other systems.

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The Problem

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Greenhouse gas emissions are hard to estimate and consider in current planning processes

The planning of building services' engineering and industrial plants is complex and subject to high uncertainties

Accurate cost and greenhouse gas estimation is often not possible due to lack of a full Bill of Quantities in early phases

Lack of transparency makes it difficult to prepare cost estimates and evaluate suppliers' offers

The Solution

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Self-learning algorithms increase estimation accuracy and automatically respond to changes

Geographical factors can be automatically integrated into the planning process by adding external data sources

Fully automated market analysis replaces the manual solicitation of bids from individual subcontractors

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Client's testimony

"We are confident that the prototype we are collaborating on will make our cost-estimating workflows leaner, more reliable and faster."

Enrique Martinez

Head of Construction Estimation

how it works

The input

► Location
‍► Production line
‍► Type of construction plan
‍► Building area characteristics
► Additional key indicators
► Optional: Preliminar Engineering

The output

► COSTS
‍• Prices and All-In-Rate per location
• Total costs
• Benchmark-Prices
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► ACCURACY OF ESTIMATION
‍• For location and overall project
• Based on the AACE International guidelines
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► MAN-DAYS
‍• Cost estimate by department
• Optimized personnel planning between multiple locations
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► ENGINEERING
‍• Fill in absent positions in the bill of quantities
• Allows more precise estimation when engineering quantities are missing

Advantages

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IMPROVED COST ESTIMATES

The estimation accuracy is progressively improved to more than 80%, allowing for reliable data-driven decision-making

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ESTIMATION OF GREENHOUSE GAS EMISSIONS

Our approach estimates greenhouse gas emissions transparently and gives recommendations for improvement

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ACCELERATION OF PLANNING

A detailed project schedule and per-quantity price analysis are created in minutes and can be exported for further investigation

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‍OPTIMIZED PLANNING

AI-enabled simulation of project parameters enables planning of projects more efficiently and saving costs

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