{"id":8597,"date":"2023-09-16T19:21:59","date_gmt":"2023-09-16T19:21:59","guid":{"rendered":"https:\/\/www.errequadro.ai\/?page_id=8597"},"modified":"2023-09-16T19:32:49","modified_gmt":"2023-09-16T19:32:49","slug":"analysis-of-tech-spec","status":"publish","type":"page","link":"https:\/\/www.errequadro.ai\/en\/analysis-of-tech-spec\/","title":{"rendered":"Automated analysis of technical specifications"},"content":{"rendered":"

[vc_row full_width=”stretch_row” kd_image_overlay_color=”rgba(0,0,0,0.7)” kd_image_overlay=”true” css=”.vc_custom_1684097974043{padding-top: 150px !important;padding-bottom: 120px !important;background-image: url(https:\/\/www.errequadro.ai\/wp-content\/uploads\/2023\/05\/AdobeStock_578995344-scaled.jpeg?id=8280) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_column css=”.vc_custom_1513003956648{padding-top: 0px !important;}”][vc_row_inner][vc_column_inner width=”1\/6″ css=”.vc_custom_1513004658055{padding-top: 50px !important;padding-left: 0px !important;}”][\/vc_column_inner][vc_column_inner width=”2\/3″ css=”.vc_custom_1513008591637{padding-right: 0px !important;padding-left: 0px !important;}”]

Document Intelligence<\/h1>

Use cases<\/h1><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” css=”.vc_custom_1684098069748{padding-top: 70px !important;}”][vc_column][vc_row_inner css=”.vc_custom_1670822007789{margin-bottom: px !important;}”][vc_column_inner]

Use case: Automated analysis of technical specifications<\/b><\/h2><\/header>[\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1684094717587{padding-bottom: 80px !important;}”][vc_column_inner width=”1\/4″ css=”.vc_custom_1684092788465{padding-left: 0px !important;}”][\/vc_column_inner][vc_column_inner width=”1\/4″ css=”.vc_custom_1684092809697{padding-top: 50px !important;padding-left: 0px !important;}”]
<\/i>
Field<\/h5>

Engineering Services\/Automotive<\/p><\/div>[\/vc_column_inner][vc_column_inner width=”1\/4″ css=”.vc_custom_1684092835124{padding-top: 50px !important;}”]

<\/i>
Type of company<\/h5>

Medium-sized company<\/p><\/div>[\/vc_column_inner][vc_column_inner width=”1\/4″ css=”.vc_custom_1684092842273{padding-top: 0px !important;}”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=”stretch_row”][vc_column css=”.vc_custom_1541587114185{padding-right: 40px !important;padding-left: 30px !important;}” offset=”vc_col-lg-6″][vc_row_inner][vc_column_inner css=”.vc_custom_1541587107649{padding-right: 0px !important;padding-left: 0px !important;}”]

The problem to be solved<\/h2>

Enhancing the efficiency and effectiveness of corporate Bid Management. The examination of specifications and technical specifications in order to issue an offer and\/or initiate the product engineering or customization process is often a resource-intensive activity in contract-based companies. The activity can require several weeks of labor, often concentrated within limited time-to-delivery windows, and may involve multiple individuals from various business functions. Furthermore, this activity is critical in terms of effectiveness: frequently, standardized processes do not exist, and risks arise from potential non-compliance with requirements.<\/h6><\/header>[\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column css=”.vc_custom_1541587225605{margin-top: 7px !important;padding-right: 115px !important;padding-left: 30px !important;}” offset=”vc_col-lg-6 vc_hidden-md vc_hidden-sm”]
<\/i>
The solution<\/h6>

The KYD (Knowledge in Your Data) platform supports the process of technical specification analysis and bid generation through the following key functions:
\n\u2022 Requirements recognition: given a list of initial requirements, the built-in algorithm automatically recognizes and extracts values and concepts from a tender document or technical specification, placing them within a tabular structure
\n\u2022 Linking: direct linking between extracted and structured requirements and their original location in the document, to provide the user with maximum control over information in the source context immediately
\n\u2022 Matchmaking: comparing requirements with historical data to systematically leverage the company know-how<\/p><\/div>[vc_empty_space height=”40px”]

<\/i>
The measurable results<\/h6>

\u2022 20% reduction in assessment errors
\n\u2022 Up to 94% reduction in documentation examination time
\n\u2022 Improved client responsiveness due to reduced time to delivery
\n\u2022 Enhanced productivity of the bidding process
\n\u2022 Increased systematicity and objectivity of the process and systematic use of historical company data<\/p><\/div>[\/vc_column][\/vc_row][vc_row css=”.vc_custom_1684097796927{padding-top: 50px !important;padding-bottom: 50px !important;}”][vc_column][vc_row_inner css=”.vc_custom_1513705144894{padding-top: 60px !important;}”][vc_column_inner][vc_column_text css_animation=”fadeIn”]<\/p>\n

Need more info? Contact us!<\/a><\/h6>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/section>","protected":false},"excerpt":{"rendered":"

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