kinisto
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About
kinisto is an AI-powered software for building materials manufacturers and dealers, designed to streamline the bidding process. It helps businesses process requests faster, prioritize them effectively, and manage them more conveniently. kinisto's AI learns from each offer created, improving product suggestions over time. It offers features like request management, performance specification processing, collaboration tools, and integrates with various systems. The software is cloud-based and prioritizes data security, complying with GDPR regulations. A free trial is available.
Platform
Task
Features
• collaboration tools
• data security measures
• request management
• cloud-based software
• integration with various systems
• performance specification processing
• ai-powered product suggestions
FAQs
For which companies in the construction industry is the software suitable?
kinisto was developed for building materials manufacturers and dealers. It significantly accelerates the process, often saving companies 50% or more in request processing.
Is kinisto also usable in other industries?
kinisto is suitable for optimizing and automating processes in other industries. Generally, if offers are created based on performance specifications, using kinisto can be beneficial.
How do the inquiries get into the software?
Each folder in kinisto has its own email address. Requests can be forwarded to this address - either automatically or individually by employees. Requests can also be dragged and dropped from Outlook into kinisto's overview.
How are relevant positions recognized?
Relevant items in performance specifications are recognized based on keywords. These keywords can be customized.
What if the request is not in the performance specification, but in the email?
In individual cases, this is already possible. Soon, kinisto will also be able to read requested positions from emails as standard - in addition to the positions in performance specifications.
What if we receive both PDF and GAEB files?
You can process both PDF performance specifications and GAEB files with kinisto.
How does the product data get into the system?
Product data is uploaded to kinisto either via an Excel file or regularly synchronized via a direct interface to the ERP or PIM system.
What if I have configured articles (variants without fixed article numbers)?
kinisto can also suggest product variants. However, this is somewhat more complex, as it depends on various factors (are there variant numbers/is the product freely configurable/is there a configurator?). We can best check together in a consultation whether intelligent matching is possible in your specific case.
How do the prices get into the system?
Product prices are stored in kinisto with the product data. Product- and customer-specific prices and discounts can also be configured - please discuss this with us.
What in the software is AI or intelligent?
In kinisto, artificial intelligence is used to reliably read performance specifications and to recognize the relevant positions in large amounts of text. The basic data, such as construction projects and submission dates, are also extracted from incoming emails using AI. In addition, the intelligent product suggestions are based on an AI-based comparison between article data and the requested performance specification items. In this way, kinisto can automatically suggest suitable products from the product catalog.
What information is automatically recognized besides the performance specification items?
kinisto recognizes the construction project, the submission date, and possibly the submission date (your customer's submission date). It also recognizes whether an offer has already been created for these request items.
How does the AI work for product suggestions?
After each completed offer, kinisto remembers which products fit which requested items. If the same product is now requested in a further request, the software automatically suggests it.
Does kinisto learn? And if so, how does it work?
Yes, kinisto learns. With each completed offer, kinisto remembers which product was offered for each performance specification item. The product suggestions therefore become more accurate and suitable over time. Initially, kinisto can be given a "learning head start" based on historical offer data or standard tender texts. However, this is usually only worthwhile if the data is already available and does not have to be created extra. After a few offers have been created with kinisto, the suggestions will also get better very quickly without the data from the past.
How many completed offers are necessary for the product suggestions to become good?
This depends on the respective product portfolio and the type of requests. kinisto learns continuously - often the first suitable product suggestions are already visible from the first offer. Depending on the complexity of the product portfolio, we recommend 50-150 created offers for good results.
Is it possible to use historical offers or manufacturer texts as training data?
Yes. However, historical offers must have been created with reference to the performance specification number, must be available in machine-readable form, and the corresponding performance specification must be available.
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