What format is the output of the RFP or Tender generated in gccp 6.0 in PDF or Word format.

In GCCP6.0, users can set the format of the output file as needed. Usually, RFPs or tenders need to be presented in a formal, standardized form, so PDF format is the more commonly used output format. PDF format files can maintain the original appearance of the document, and has the characteristics of non-editable, suitable for printing and archiving.

GCCP6.0 generated in the tender or bid output file format is generally PDF or Word format. The specific output format depends on the user's settings and operations in the software. In addition, Word format is another commonly used output format, Word format file is easy to edit and modify, suitable for the need to further adjust and edit the situation.

Role of gccp6.0

GCCP6.0, the Quanta Cloud Costing Platform, plays an important role in the field of construction costing. It is a product designed to provide digital transformation solutions for customers across the entire value chain in the construction costing field. This platform utilizes cloud technology, big data and artificial intelligence technology to provide cost estimators with a powerful tool to help them carry out estimate, budget and settlement work more efficiently.

The all-business integration feature of GCCP 6.0 enables it to cover the entire process of estimate, budget and settlement review, with efficient and effective project preparation and data flow. In terms of settlement business, it provides clearer and more flexible forms of progress control and settlement, making the audit work more time-saving.

In addition, GCCP 6.0 is also characterized by the integration of volume and price, which doubles the overall volume lifting efficiency by opening up the pricing and calculation works and realizing data interoperability, fast volume lifting, real-time refreshing and graphic counter-checking. Intelligent pricing function is based on the pain points of the budgeter's project preparation, and realizes the rapid intelligent application of historical data and industry data through big data and AI intelligent algorithms to improve the efficiency of the budgeter's pricing.