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The artificial intelligence behind the quotation management software

The innovative technology behind kinisto takes quotation management to a new level of efficiency. kinisto understands complex inquiries, learns continuously, and supports your employees by handling previously time-intensive routine tasks.

  • Reading Inquiries: Recognition of relevant items in BOQs - even in large amounts of text

  • AI-powered Matching: Between article data and requested BOQ items โ€“ plus automatic suggestion of matching products

Leverage the advantages of modern AI technology

kinisto reads and processes inquiries and associated bills of quantities in seconds using cutting-edge Large Language Model technology. Everything important is immediately available in structured form: relevant BOQ items, requested quantities, construction projects, submission dates, etc.

  • Context-based Analysis: The technology captures relationships and connections between different text elements

  • Format-independent Processing: Whether PDF, GAEB, or email โ€“ the AI recognizes relevant information

  • Semantic Understanding: The software clusters natural language into individual components and captures their meaning in the overall context

AI Technology

We were initially skeptical about whether an AI solution could truly handle our complex rope safety systems with all their individual components. But kinisto proved us wrong โ€” the system suggestions are remarkably accurate, even for demanding configurations. Working with the kinisto team is a real pleasure โ€” they take the time to truly understand our business.

Silvia Massing
Silvia Massing
Technische Zentrale
ABS Safety

Self-learning algorithm

The heart of kinisto is a self-learning algorithm. With each finalized offer, kinisto remembers which products match which BOQ items โ€“ so the accuracy rate of product suggestions increases with every use and often reaches over 95%, depending on the complexity of the product portfolio.

AI Learning Curve
  • Continuous Learning: kinisto remembers with each finalized offer which product matched which BOQ item

  • Fast Learning Curve: Depending on product portfolio complexity, very good results can be expected after 50-150 created offers

  • Product Combinations: The AI recognizes related products and can suggest product combinations

  • Company-specific: AI suggestions are based exclusively on your own data

  • No Training Phase: Unlike other AI systems, kinisto requires no elaborate initial training

  • Optional Learning Advantage: If desired, kinisto can be initialized with historical offer data

  • Humans and AI are working hand in hand:

    • Full Control: All AI suggestions can be reviewed and adjusted at any time

    • Controllable Preferences: Users can define preferred manufacturers for specific customers or inquiries

    • Transparent Suggestions: The AI not only provides product suggestions but also alternative options for selection

    We were able to get started after just a few days without a lengthy setup process and were impressed by the accuracy of the product suggestions. The software is easy to use and fits perfectly with our process โ€” as a result, we can now create quotes much faster than before.

    Alexander Schรถpflin
    Alexander Schรถpflin
    Head of Planning and Project Management
    Hekatron

    Applicable even in complex trades

    The assignment of matching products works whether proprietary products or third-party products are mentioned in the inquiry, as well as with product-neutral specifications.

    • Simple Products: Reliable assignment of standard products like bulk materials or bike racks

    • Complex Products: Precise analysis and assignment of complex products like fire doors or ventilation systems

    • Product Combinations: Intelligent suggestions for related products per specification item (e.g., door + door opener + hardware)

    AI Trades

    Turn your team into digital pioneers

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    Company
    kinisto is a brand of
    tetrel GmbH
    Rosenthaler Str. 72a
    10119 Berlin
    Germany
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