A system for estimating the cement price

Abstract

The present invention relates to a system (1) for estimating cement prices in the future by using advanced machine learning techniques.

Description

[0001] DESCRIPTION

[0002] A SYSTEM FOR ESTIMATING THE CEMENT PRICE

[0003] Technical Field

[0004] The present invention relates to a system for estimating cement prices in the future by using advanced machine learning techniques.

[0005] Background of the Invention

[0006] Today, it is available to estimate cement price based on the building material industry. However, since advanced artificial intelligence technologies are not used for this price estimation, price estimations are performed superficially and cannot be updated continuously.

[0007] For this reason, considering the studies and deficiencies included in the current technique, it is understood that there is a need for a system which enables data sets to be created by using information such as historical cement price unit prices and market trends; estimation models to be created by recognizing patterns and relationships in the data; cement price estimations to be adapted by means of developed artificial intelligence models; estimated information to be updated as real-time information is received; and the latest estimation values to be reflected up to date.

[0008] The Chinese patent document no. CN112330363A, an application included in the state of the art, discloses a cement price data integration system based on building material industry. In the said invention a data integration center is used for classifying, storing and calling integrated data. Data acquisition terminals are used for acquiring cement price data. Local management terminals are used for collecting and adjusting data. A cloud platform is used for synchronizing and monitoring the cement price information fed back by all the local management terminals. By means of the invention, the system performs data collection, data processing, data storage, data search and data analysis regarding the cement price.

[0009] Summary of the Invention

[0010] An object of the present invention is to realize a system developed for estimating cement prices in the future by using advanced machine learning techniques.

[0011] Another object of the present invention is to realize a system developed for enabling data sets to be created by using information such as historical cement price unit prices and market trends; estimation models to be created by recognizing patterns and relationships in the data; cement price estimations to be adapted by means of developed artificial intelligence models; estimated information to be updated as real-time information is received; and the latest estimation values to be reflected up to date.

[0012] A further object of the present invention is to realize a system developed for enabling construction companies and related industries to increase the accuracy of their project and offer planning and budgeting by benefiting from more precise price projections by means of the possibility of estimating future cement prices with the developed method; more competitive offers and pricing to be offered and competitive advantage that will increase profitability to be offered to customers; users to make decisions based on data-driven information and to gain advantage in the market by providing advantages such as cost management.

[0013] Detailed Description of the Invention

[0014] “A System for Estimating the Cement Price” realized to fulfil the objectives of the present invention is shown in the figure attached, in which: Figure 1 is a schematic view of the inventive system.

[0015] The components illustrated in the figure are individually numbered, where the numbers refer to the following:

[0016] 1. System

[0017] 2. Electronic Device

[0018] 3. Interface

[0019] 4. Database

[0020] 5. Server

[0021] IS. Construction Company Server

[0022] The inventive system (1) developed for estimating cement prices by using machine learning techniques comprises at least one electronic device (2) which is configured to exchange data by using any remote communication protocol and to run at least one application thereon; at least one interface (3) which is configured to be run on the electronic device (2) and to display historical cement price information and updates on estimated cement price information in real time; at least one database (4) which is configured to keep a record of datasets regarding cement prices and cement unit price estimations therein; at least one server (5) which is configured to establish connection with the electronic device (2) by using any communication protocol and to establish communication with the interface (3) run on the electronic device (2) through this established connection; to establish connection with the construction company server (IS) by using any communication protocol; to access data on the database (4) and to record data on the database (4); to access historical cement purchase invoice information through the construction company server (IS) and to estimate how much cement price will be in the future by running machine learning algorithms on these data and to record them on the database (4); to analyze the data collected through the database (4) by means of deep learning machine learning algorithms and to estimate cement unit prices in the future; to record cement unit price estimations on the database (4) by running a time- series based machine learning module at certain time intervals and to provide them on the interface (3) in order to enable users to access the cement price estimations.

[0023] The electronic device (2) included in the inventive system (1) is configured to exchange data by using any remote communication protocol and to run at least one application thereon. The electronic device (2) is a device in the form of a cell phone, tablet computer, desktop computer and / or portable computer. The electronic device (2) is configured to run the interface (3) thereon. The electronic device (2) is configured to establish connection with the server (5) by using any remote communication protocol included in the state of art.

[0024] The interface (3) included in the inventive system (1) is configured to be run on the electronic device (2). The interface (3) is configured to enable users to view historical cement price information and updates on estimated cement price information in real time.

[0025] The database (4) included in the inventive system (1) is configured to establish connection with the server (5). The database (4) is configured to keep a record of datasets regarding cement prices therein. The database (4) is configured to keep a record of cement unit price estimations therein.

[0026] The server (5) included in the inventive system (1) is configured to establish connection with the electronic device (2) by using any communication protocol included in the state of art and to establish communication with the interface (3) run on the electronic device (2) through this established connection. The server (5) is configured to establish connection with the construction company server (IS) by using any communication protocol included in the state of art. The server (5) is configured to access data on the database (4) and to record data on the database (4). The server (5) is configured to collect datasets regarding cement prices from different sources and to process, clean, organize and record them on the database (4). The server (5) is configured to access historical cement purchase invoice information through the construction company server (IS) and to estimate how much cement price will be in the future by running machine learning algorithms on these data and to record them on the database (4). The server (5) is configured to analyze the data collected through the database (4) by means of deep learning machine learning algorithms and to apply estimation models on the data in order to estimate cement unit prices in the future by means of machine learning algorithms. The server (5) is configured to record cement unit price estimations on the database (4) by running a time-series based machine learning module at certain time intervals and to provide them on the interface (3) in order to enable users to access the cement price estimations.

[0027] Industrial Application of the Invention

[0028] In the inventive system (1), the server (5) collects datasets regarding cement prices from different sources and processes, cleans, organizes and records them on the database (4). The server (5) accesses historical cement purchase invoice information through the construction company server (IS) and estimates how much cement price will be in the future by running machine learning algorithms on these data and records them on the database (4). The server (5) analyzes the data collected through the database (4) by means of deep learning machine learning algorithms and applies estimation models on the data in order to estimate cement unit prices in the future by means of machine learning algorithms. The server (5) records cement unit price estimations on the database (4) by running a time- series based machine learning module at certain time intervals and provides them on the interface (3) in order to enable users to access the cement price estimations. In this way, users are provided with the opportunity to make decisions based on more precise information on cement price data.

[0029] Within these basic concepts; it is possible to develop various embodiments of the inventive “A System (1) for Estimating the Cement Price”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS1. A system (1) developed for estimating cement prices by using machine learning techniques; comprising at least one electronic device (2) which is configured to exchange data by using any remote communication protocol and to run at least one application thereon; at least one interface (3) which is configured to be run on the electronic device (2) and to display historical cement price information and updates on estimated cement price information in real time; at least one database (4) which is configured to keep a record of datasets regarding cement prices and cement unit price estimations therein; and characterized by at least one server (5) which is configured to establish connection with the electronic device (2) by using any communication protocol and to establish communication with the interface (3) run on the electronic device (2) through this established connection; to establish connection with the construction company server (IS) by using any communication protocol; to access data on the database (4) and to record data on the database (4); to access historical cement purchase invoice information through the construction company server (IS) and to estimate how much cement price will be in the future by running machine learning algorithms on these data and to record them on the database (4); to analyze the data collected through the database (4) by means of deep learning machine learning algorithms and to estimate cement unit prices in the future; to record cement unit price estimations on the database (4) by running a time- series based machine learning module at certain time intervals and to provide them on the interface (3) in order to enable users to access the cement price estimations.

2. A system (1) according to Claim 1; characterized by the electronic device (2) which is a device in the form of a cell phone, tablet computer, desktop computer and / or portable computer configured to exchange data by using any remote communication protocol and to run at least one application thereon.

3. A system (1) according to Claim 1 or 2; characterized by the electronic device (2) which is configured to run the interface (3) thereon.

4. A system (1) according to any one of the preceding claims; characterized by the electronic device (2) which is configured to establish connection with the server (5) by using any remote communication protocol.

5. A system (1) according to any one of the preceding claims; characterized by the interface (3) which is configured to be run on the electronic device (2).

6. A system (1) according to any one of the preceding claims; characterized by the interface (3) which is configured to enable users to view historical cement price information and updates on estimated cement price information in real time.

7. A system (1) according to any one of the preceding claims; characterized by the database (4) which is configured to establish connection with the server (5).

8. A system (1) according to any one of the preceding claims; characterized by the database (4) which is configured to keep a record of datasets regarding cement prices therein.

9. A system (1) according to any one of the preceding claims; characterized by the database (4) which is configured to keep a record of cement unit price estimations therein.

10. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to establish connection with the electronic device (2) by using any communication protocol and to establish communication with the interface (3) run on the electronic device (2) through this established connection.

11. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to establish connection with the construction company server (IS) by using any communication protocol.

12. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to access data on the database (4) and to record data on the database (4).

13. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to collect datasets regarding cement prices from different sources and to process, clean, organize and record them on the database (4).

14. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to access historical cement purchase invoice information through the construction company server (IS) and to estimate how much cement price will be in the future by running machine learning algorithms on these data and to record them on the database (4).

15. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to analyze the data collected through the database (4) by means of deep learning machine learning algorithms and to apply estimation models on the data in order to estimate cement unit prices in the future by means of machine learning algorithms.

16. A system (1) according to any one of the preceding claims; characterized by the server (5) which is configured to record cement unit price estimations on the database (4) by running a time-series based machine learning module at certain time intervals and to provide them on the interface (3) in order to enable users to access the cement price estimations.

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