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Support for Customers' Request Processing
Kalivoda, Vojtěch ; Rychlý, Marek (referee) ; Křivka, Zbyněk (advisor)
This thesis describes realization of the request support for customers' of company ALVAO. Main goal is to create a extension/module for the ALVAO Service Desk system, which will create a space for customers' ideas for improvement of the system. Besides adding new improvement ideas, customers are allowed to vote and create priorities by that. First, the thesis is focused on technology on which it is built ALVAO Service Desk. In the next part is analysis of the system itself. Followed by design of the extension and finally description of its implementation.
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A Tool for Recognition and Verification of Spedition Orders
Kalivoda, Vojtěch ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
The aim of this work is to design and implement a web tool that will facilitate the work of dispatchers of forwarding and transport companies through automated recognition of important information in orders. Thanks to the recognition, not all information has to be manually rewritten by dispatchers, which saves time. Order recognition is based on finding entities in a document, representing its surroundings with vectors using word2vec models and subsequent classification using convolutional neural networks. The tool can recognize 20 types of information in real time with an average success rate of 72.35~\%. As part of the work, a dataset of almost 1~700 orders was collected and 141 of them were annotated. Part of the work is a web application that serves as an interface for the tool and data collection.
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A Tool for Recognition and Verification of Spedition Orders
Kalivoda, Vojtěch ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
The aim of this work is to design and implement a web tool that will facilitate the work of dispatchers of forwarding and transport companies through automated recognition of important information in orders. Thanks to the recognition, not all information has to be manually rewritten by dispatchers, which saves time. Order recognition is based on finding entities in a document, representing its surroundings with vectors using word2vec models and subsequent classification using convolutional neural networks. The tool can recognize 20 types of information in real time with an average success rate of 72.35~\%. As part of the work, a dataset of almost 1~700 orders was collected and 141 of them were annotated. Part of the work is a web application that serves as an interface for the tool and data collection.
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Support for Customers' Request Processing
Kalivoda, Vojtěch ; Rychlý, Marek (referee) ; Křivka, Zbyněk (advisor)
This thesis describes realization of the request support for customers' of company ALVAO. Main goal is to create a extension/module for the ALVAO Service Desk system, which will create a space for customers' ideas for improvement of the system. Besides adding new improvement ideas, customers are allowed to vote and create priorities by that. First, the thesis is focused on technology on which it is built ALVAO Service Desk. In the next part is analysis of the system itself. Followed by design of the extension and finally description of its implementation.
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