Based on the review of the underlying logic of digital cost, Greatech has fully integrated cost data, building information and AI intelligent technology into the entire process of cost data. Through the establishment of a full set of data collection standards, the use of "three terminals and one cloud" to collect key process data and after structured data processing and combined with intelligent algorithm technology, multi-index, multi-dimensional and multi-level data are deeply learned to provide digital cost management such as intelligent cost estimation, intelligent price group and price prediction for project construction and investment control.

Database of Index

Due to the different statistical calibers of cost data of various enterprises’ construction projects and different application scenarios, this system adopts template management for flexible processing, which is convenient for enterprises to establish their own cost data centers and solves the problem that different types of project index data cannot be unified.

Database of Price

Price database is the most important data source for enterprise cost control. In order to better collect and employ material price data and realize material price trend query, the database of price aims to provide a basis for the subsequent data intelligent algorithm through the establishment of uniform material coding rules, and through the standard data import and export to complete the collection of enterprise price data,

Database of Quota

Through the dual-end data collection method of Web terminal and mobile phone App, the basic data of enterprise labour and material consumption is established. With the continuous accumulation of enterprise data, the consumption is gradually improved to the quota database, and finally the competitive data assets are formed.

Intelligent Brain

Based on the three major cost databases of price, quota and index , through big data and intelligent AI algorithm technology, combined with standard data entry, the cost and limit indicators required for the investment management and control of the proposed project can be obtained, so as to provide decision makers with more efficient and accurate data reference.