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 β plus automatic suggestion of matching products
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 β the AI recognizes relevant information
Semantic Understanding: The software clusters natural language into individual components and captures their meaning in the overall context
The heart of kinisto is a self-learning algorithm. With each finalized offer, kinisto remembers which products match which BOQ items β so the accuracy rate of product suggestions increases with every use and often reaches over 95%, depending on the complexity of the product portfolio.
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
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
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)