Knowledge Bots B2B Guide (EN)
  • Overview
    • 🤖Welcome to Blockbrain!
    • 🗓️Book a Demo
    • 📝Working with Knowledgebots
    • 📚Glossary
  • Use Cases
    • 👩‍💻Company GPT
    • ⏳Sales Automation
    • 🧩Employee Support
    • 🧐Hotline Helper
    • 📘Risk & Compliance Management
    • 📠Machinery
    • 📂Tender Analysis
    • 💡More Use Cases
  • FOR USERS
    • 👨‍💻Account Setup
    • ✍️Prompt Guide for Better Answers from AI
    • 🚀How to use Knowledge Bots
      • Chat with Knowledge Bots
      • Manage your Databases in Knowledge Management
      • Use Insights Efficiently
    • 🧰Guide on Advanced Knowledge Bot Features
      • Maximize Agent Use
      • Maximize Workflow Use
      • Maximize Intent Agent Use
      • Maximize Insight Use
      • Maximize Contribute Knowledge Use
    • ⛏️Pick your LLM
    • 🔫Troubleshooting
  • FOR BUILDERS
    • ⚒️How to build a Knowledgebot
    • 🖋️Prompting for Agents and Workflows
    • Build and Apply Advanced Features
      • More on Knowledgebot Settings & Management
      • Create an Agent
      • Set Up Workflows
      • Prepare Intent Agent
      • Use Insights
      • Optimize Contributed Knowledge
    • 🔏Manage Access
    • 🔫Troubleshooting
  • FOR ADMINS
    • 👨‍🦱Manage your Domain
    • 🔵Integrations
    • 🥽Google SSO
    • 🕸️Web Component
    • 🤵‍♂️Legal & Compliance
    • 🚑Admin Support
  • MOBILE APP
    • 📱Save Knowledgebots as an App
    • ⬇️Download Blockbrain App
    • How it works
    • Mobile Use Cases
  • NEWS
    • 📈Features & Updates
    • ⏲️Coming soon
Powered by GitBook
On this page
  1. Use Cases

Tender Analysis

Blockbrain offers an innovative way to optimize the analysis of requirement specifications. By integrating Knowledge Bots, customers can extract precise information from extensive texts, thereby increasing their efficiency.

Features and Benefits

  • Automated Text Analysis:

    • Requirement Detection: The Knowledge Bot can automatically extract requirements and specifications from the requirements document.

    • Categorization: The extracted information is categorized and structured to increase clarity.

  • Rapid Information Retrieval:

    • Real-time Answers: Customers can ask questions about specific requirements or specifications and receive immediate answers.

    • Data Access: The chatbot can access internal databases and provide relevant information.

  • Identification of Gaps and Inconsistencies:

    • Gap Analysis: The Knowledge Bot identifies missing information or unclear requirements.

    • Consistency Check: Checks the document for contradictory statements and highlights them.

  • Creation of Summaries:

    • Brief Overviews: The chatbot generates concise summaries of the key points in the requirements document.

    • Reports: Automated reports that summarize and visualize the analysis results.

  • Seamless Integration:

    • Compatibility: The tool integrates seamlessly with existing document management systems and project management software.

    • Customizability: Adaptable to specific company requirements and processes.

  • User-Friendliness:

    • Intuitive User Interface: Easy to use, no technical expertise required.

    • Multiple Communication Channels: Supports various channels such as email, chat, and mobile apps.

In this use case, a Knowledge Bot is used to analyze requirements specifications. For this purpose, a workflow was created in advance and the requirements specification was loaded into the database:

In this use case, the customer has requested a requirements specification. Through this Knowledge Bot, where a workflow, a database, and a file were linked in advance, an individualized requirements specification can be created within seconds:

PreviousMachineryNextMore Use Cases

Last updated 7 months ago

📂