Intelligent landscaping e-commerce data platform

Abstract

The invention provides an intelligent landscaping e-commerce data platform, belongs to the technical field of e-commerce and landscaping, and provides garden products and a service database for consumers, so that the consumers can conveniently obtain comprehensive information, time and energy are saved, an intelligent recommendation system accurately recommends product services, and the user experience is improved. The online transaction module provides safe and fast payment and updates the order state in real time, the evaluation feedback system provides evaluation feedback for consumers and assists the consumers in making a decision, product service information is intelligently pushed to suppliers, service providers and the supply and demand matching module, the transaction success rate and efficiency are improved, the problem of supply and demand mismatching is solved, and the user experience is improved. The evaluation feedback system helps the system to improve the quality, and from the perspective of industry, the platform integrates resources, improves the efficiency, breaks the limitation, promotes circulation, optimizes a structure algorithm to promote intelligent and efficient development, meets life demands, and promotes urban landscape and ecological improvement.

Description

Technical Field

[0001] The present invention belongs to the technical field of e-commerce and landscaping, and in particular relates to an intelligent landscaping e-commerce data platform. Background Art

[0002] With the continuous advancement of urbanization and the increasing requirements of people for the quality of living environment, the landscaping industry has developed rapidly. In actual production and life, the types of landscaping products are becoming increasingly rich, from various plant varieties to various materials required for garden construction. At the same time, the demand for landscaping services is also growing. For example, garden design services can create a unique style for urban landscapes and private courtyards, greening construction services can transform designs into actual landscapes, and maintenance services ensure the healthy growth of garden plants. However, there are some problems in the traditional landscaping market. On the one hand, consumers face many difficulties in finding suitable landscaping products and services. They often need to spend a lot of time and energy to go to various physical stores to understand the specifications, prices, origins and other information of the products. It is also difficult to fully understand the specific content and charging standards of the services. Moreover, due to the lack of personalized recommendations, consumers may miss products and services that meet their needs and preferences. On the other hand, for landscaping product suppliers and service providers, how to efficiently push their products and services to target customers and improve the success rate and efficiency of transactions is also a difficult problem. The information asymmetry between them and consumers may lead to a mismatch between supply and demand and affect the development of the business.

[0003] In addition, during the transaction process, the diversity of payment methods and the security and convenience of transactions are also the focus of attention. At the same time, the evaluation and feedback mechanism for product and service quality is imperfect, making it difficult for consumers to accurately judge the pros and cons of products and services, and is not conducive to suppliers and service providers to improve their own product and service quality. Against this background, the research and development and application of an intelligent landscaping e-commerce data platform is particularly necessary. It can integrate resources, solve the many problems existing in the above-mentioned actual production and life, and improve the overall efficiency and service quality of the landscaping industry. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent landscaping e-commerce data platform, aiming to solve the problems in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent landscaping e-commerce data platform, characterized by comprising:

[0007] Garden product database module, which accurately stores and efficiently manages detailed information on various types of garden greening products, including plant varieties, specifications, prices, and origins;

[0008] Garden service database module, which records and manages relevant information about garden greening services, such as the specific content, charging standards and specific information of service providers of garden design services, greening construction services, maintenance services, etc.

[0009] User information management module, which can safely and effectively collect, store and manage users' personal information, purchase history, browsing history and other data, so as to provide users with personalized services and accurate recommendations;

[0010] Intelligent recommendation system, which can use data analysis algorithms to accurately recommend suitable landscaping products and services to users based on their browsing history, purchase history, personal preferences and other data. The data analysis algorithms include but are not limited to collaborative filtering algorithms, content-based recommendation algorithms, etc., and can continuously learn and optimize recommendation results to better meet user needs;

[0011] The online transaction module supports a variety of safe and fast payment methods, and can update the transaction status in real time, making it easier for buyers and sellers to track order status and ensure smooth transactions;

[0012] The supply and demand matching module uses an intelligent matching algorithm to comprehensively consider factors such as the attributes, price, and geographic location of products or services. It can efficiently and accurately match the information of garden product suppliers and service providers with the needs of users to improve the success rate and efficiency of transactions;

[0013] The evaluation and feedback system allows users to evaluate and provide feedback on the garden products they purchased and the services they enjoy. The platform management can identify and handle malicious evaluations and false feedback to ensure the fairness and reliability of the evaluation and feedback system. At the same time, these evaluation and feedback information will be collected and used to improve the quality of products and services, and can also provide reference for other users.

[0014] As a preferred solution of the present invention, the following steps are included:

[0015] Collect and organize relevant data through the garden product database module and the garden service database module;

[0016] Collect user data using the user information management module;

[0017] Recommend products and services to users with the help of intelligent recommendation systems;

[0018] Complete transactions through the online trading module;

[0019] Use the supply and demand matching module to improve the efficiency of supply and demand matching;

[0020] Rely on the evaluation and feedback system to collect user evaluations and feedback to improve product and service quality.

[0021] As a preferred solution of the present invention, the data of the platform is analyzed and sorted regularly, and the database structure and algorithm are optimized to improve the performance of the platform and the user experience.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] For consumers, the garden product database module and the garden service database module no longer need to run around physical stores to learn about product and service information. They can easily obtain comprehensive information such as plant varieties, specifications, prices, origins, and specific content and charging standards of services on the platform, saving a lot of time and energy. The intelligent recommendation system accurately recommends products and services based on browsing history, purchase records, and personal preferences, allowing consumers to find products and services that meet their needs and preferences and avoid missing out on suitable choices. The online transaction module provides a variety of safe and fast payment methods and updates transaction status in real time, making transactions safer and more convenient. Consumers can track order status at any time. The evaluation and feedback system allows consumers to evaluate and feedback on the quality of products and services, providing reference for other consumers and helping them make more informed purchasing decisions. For suppliers and service providers Generally speaking, the supply and demand matching module adopts an intelligent matching algorithm, which takes into account multiple factors and can push its product and service information to target customers efficiently and accurately, thereby improving the success rate and efficiency of transactions, solving the supply and demand mismatch problem caused by information asymmetry, and facilitating business development. At the same time, the information collected by the evaluation and feedback system can be used to improve the quality of products and services, prompting them to continuously improve to meet market demand. From the perspective of the entire landscaping industry, the platform integrates resources and improves the overall efficiency of the industry. It breaks the limitations of the traditional market and promotes the circulation of products and services. By optimizing the database structure and algorithms, it continuously improves the platform performance and user experience, further promoting the intelligent and efficient development of the landscaping industry, and meeting people's needs for a high-quality living environment in the process of urbanization. It has a positive role in promoting urban landscape construction and ecological environment improvement. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0025] In the attached picture:

[0026] Figure 1 This is a diagram showing the app interface of an intelligent landscaping e-commerce data platform of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Example 1

[0029] See also Figure 1 , the present invention provides the following technical solutions:

[0030] An intelligent landscaping e-commerce data platform, characterized by comprising:

[0031] Garden product database module, which accurately stores and efficiently manages detailed information on various types of garden greening products, including plant varieties, specifications, prices, and origins;

[0032] Garden service database module, which records and manages relevant information about garden greening services, such as the specific content, charging standards and specific information of service providers of garden design services, greening construction services, maintenance services, etc.

[0033] User information management module, which can safely and effectively collect, store and manage users' personal information, purchase history, browsing history and other data, so as to provide users with personalized services and accurate recommendations;

[0034] Intelligent recommendation system, which can use data analysis algorithms to accurately recommend suitable landscaping products and services to users based on their browsing history, purchase history, personal preferences and other data. The data analysis algorithms include but are not limited to collaborative filtering algorithms, content-based recommendation algorithms, etc., and can continuously learn and optimize recommendation results to better meet user needs;

[0035] The online transaction module supports a variety of safe and fast payment methods, and can update the transaction status in real time, making it easier for buyers and sellers to track order status and ensure smooth transactions;

[0036] The supply and demand matching module uses an intelligent matching algorithm to comprehensively consider factors such as the attributes, price, and geographic location of products or services. It can efficiently and accurately match the information of garden product suppliers and service providers with the needs of users to improve the success rate and efficiency of transactions;

[0037] The evaluation and feedback system allows users to evaluate and provide feedback on the garden products they purchased and the services they enjoy. The platform management can identify and handle malicious evaluations and false feedback to ensure the fairness and reliability of the evaluation and feedback system. At the same time, these evaluation and feedback information will be collected and used to improve the quality of products and services, and can also provide reference for other users.

[0038] In a specific embodiment of the present invention, for consumers, the garden product database module and the garden service database module provide great convenience. In the fast-paced modern life, people no longer need to spend a lot of time and energy going to various physical stores to collect product and service information. Through the platform, they can easily obtain comprehensive information such as plant varieties, specifications, prices, origins, and specific content and charging standards of services. The intelligent recommendation system is like a caring shopping assistant, accurately recommending products and services based on browsing history, purchase records, and personal preferences, so that consumers have the opportunity to discover products and services that meet their needs and preferences, avoiding the regret of missing suitable choices due to incomplete information. The online transaction module's multiple safe and fast payment methods and real-time updated transaction status make the transaction process safer and more convenient. Consumers can track the order status at any time and grasp the progress of the products or services they purchased. The evaluation feedback system gives consumers a channel to speak out. Their evaluation feedback on the quality of products and services not only provides a reference for their subsequent purchase decisions, but also helps other consumers make more informed decisions. The choice of supply and demand matching module is the key to open the market for suppliers and service providers. The intelligent matching algorithm it adopts takes into account multiple factors and can push product and service information to target customers efficiently and accurately, greatly improving the success rate and efficiency of transactions. This effectively solves the supply and demand mismatch problem caused by information asymmetry that has plagued them for a long time, and injects new vitality into business development. At the same time, the information collected by the evaluation feedback system can prompt them to continuously improve the quality of products and services to better meet market demand. From the perspective of the entire landscaping industry, the platform integrates resources and improves the overall efficiency of the industry. It breaks the geographical and information restrictions of the traditional market and promotes the circulation of products and services. By optimizing the database structure and algorithm, it continuously improves the platform performance and user experience, and further promotes the landscaping industry to develop towards intelligence and efficiency. Today, when the urbanization process is accelerating, it meets people's needs for a high-quality living environment, has a positive role in promoting urban landscape construction and ecological environment improvement, and contributes to building a beautiful and livable urban environment.

[0039] Specifically, a method for operating an intelligent landscaping e-commerce data platform is characterized by comprising the following steps:

[0040] Collect and organize relevant data through the garden product database module and the garden service database module;

[0041] Collect user data using the user information management module;

[0042] Recommend products and services to users with the help of intelligent recommendation systems;

[0043] Complete transactions through the online trading module;

[0044] Use the supply and demand matching module to improve the efficiency of supply and demand matching;

[0045] Rely on the evaluation and feedback system to collect user evaluations and feedback to improve product and service quality.

[0046] In this embodiment: In actual production and life, the operation method of the intelligent landscaping e-commerce data platform has many significant beneficial effects. For consumers, by collecting and organizing relevant data through the garden product database module and the garden service database module, consumers can fully and systematically understand various types of information on landscaping products and services. They no longer need to go to different physical stores to inquire and compare in person. On the platform, they can clearly know the detailed specifications, accurate prices and origins of plants, etc., and the specific content and charging standards of the services can also be seen at a glance, which greatly saves time and energy. Using the user information management module to collect user data can provide accurate basis for the intelligent recommendation system, thereby recommending products and services that are more in line with their actual needs and personal preferences to consumers. For example, if a consumer is interested in a certain style of garden design, through this operation method, the platform can accurately identify and recommend related design services, suitable plant varieties and and supporting maintenance services, etc., with the help of intelligent recommendation systems to recommend products and services to users, giving consumers more opportunities to discover high-quality products and services that they might have missed before, meeting their personalized needs, and completing transactions through online transaction modules. A variety of safe and fast payment methods ensure the security of funds, and real-time updated transaction status allows consumers to keep abreast of order dynamics at any time, enhancing the sense of security and convenience of shopping. The supply and demand matching module is used to improve the efficiency of supply and demand matching, so that consumers can find products and service providers that meet their needs more quickly, while also helping suppliers and service providers to more accurately locate target customers and promote the completion of transactions. The evaluation feedback system is used to collect user evaluations and feedback, and to improve the quality of products and services. Consumers' evaluations provide other consumers with real and reliable references, helping them make more informed purchasing decisions, while also prompting suppliers and service providers to continuously improve their products and services, forming a good market cycle.

[0047] Specifically, the platform data is analyzed and organized regularly, and the database structure and algorithms are optimized to improve the platform's performance and user experience.

[0048] In this embodiment: In actual production life, regularly analyzing and organizing the platform data, optimizing the database structure and algorithm, is of great significance to the smooth operation and sustainable development of the intelligent landscaping e-commerce data platform. From the perspective of improving platform performance, through the analysis of the data, potential problems and bottlenecks in the operation of the database can be discovered. For example, it may be found that some data storage methods are not efficient enough, resulting in slower query speeds. By optimizing the database structure, the data storage method can be reorganized to improve the data reading and writing speeds, so that the platform can process a large amount of garden product and service information more smoothly and quickly. For the optimization of the algorithm, the intelligent recommendation system can recommend products and services to users more accurately. As time goes by and user data continues to accumulate, the original algorithm may make inaccurate or incomplete recommendations. By regularly optimizing the algorithm, such as adjusting the weight parameters in the collaborative filtering algorithm or improving the feature extraction method of the content-based recommendation algorithm, the recommendation results can be more in line with the actual needs of users, from the user From the perspective of experience improvement, the optimized platform can respond to user operations more quickly. When users browse the garden product database module or the garden service database module, the loading speed is faster and the information display is clearer, which improves the efficiency of users in obtaining information. Moreover, more accurate recommendations and more efficient supply and demand matching also make it easier and more convenient for users to choose products and services. For suppliers and service providers, the optimized platform can more accurately push their products and services to target customers. By analyzing factors such as geographic location and user preferences in the data, they can better adjust their product strategies and service directions and improve their market competitiveness. For the entire landscaping industry, regular data optimization helps to integrate resources more reasonably and effectively, promote the circulation of garden products and services in different regions and of different types, break geographical restrictions and information barriers, and promote the industry to develop in a more intelligent and efficient direction. Further meet people's demand for a high-quality living environment in the process of urbanization, and provide stronger support for urban landscape construction and ecological environment improvement.

[0049] The working principle and use process of the present invention:

[0050] First, the garden product database module and the garden service database module begin to collect and organize relevant data. For the garden product database module, suppliers will enter the information of various types of garden greening products, such as plant varieties, specifications, prices, and places of origin in detail. The garden service database module is uploaded by service providers for garden greening service related information, including the creative concept and specific process of garden design services, the engineering steps and quality standards of greening construction services, the cycle and key points of maintenance services, and the corresponding charging standards. Then, the user information management module comes into play. When the user registers and logs in to the platform, the module will safely and effectively collect the user's personal information, such as name, contact information, etc., and record the user's purchase history and browsing history. Regarding the collection of personal information, it is suspected to involve personal privacy. It is necessary to confirm that the personal information involved in this application has been fully consented to and authorized to be obtained, and the collection, use and processing of relevant information must comply with the relevant laws, regulations and standards of relevant countries and regions. For example, when a user browses a certain flower product or a specific garden design service, these behaviors will be recorded. Then, the intelligent recommendation system calculates based on the data collected by the user information management module through collaborative filtering algorithms, content-based recommendation algorithms and other data analysis algorithms. If a user frequently browses If a user has purchased rose-related products and has purchased similar flowers, the system will recommend different varieties of roses and garden design services that match them. The online transaction module is activated after the user selects a product or service. The user can choose a variety of safe and fast payment methods to complete the transaction. The transaction status will be updated in real time, and both users and merchants can track the order status at any time, such as logistics information. The supply and demand matching module is also running continuously. It uses an intelligent matching algorithm to comprehensively consider factors such as the attributes, price, and geographical location of the product or service. For example, when a user located in a specific area of ​​a city needs greening construction services, the module will screen out nearby service providers that meet the user's budget and are good at the type of construction in the area and make matching recommendations. Finally, the evaluation and feedback system invites users to evaluate and give feedback after the user completes the transaction. Users can evaluate the freshness of the purchased garden plants, the satisfaction with the garden services, etc. The platform management will identify and process malicious evaluations and false feedback to ensure the fairness and reliability of the evaluation. These evaluation and feedback information are used to improve the quality of products and services on the one hand, and provide reference for other users on the other hand, forming a virtuous circle and continuously optimizing the operation and services of the platform. The entire process is closely linked, effectively solving many problems in the garden greening industry in actual production and life, and promoting the continuous development of the industry.

[0051] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent landscaping e-commerce data platform, characterized in that: include: Garden product database module, which accurately stores and efficiently manages detailed information on various types of garden greening products, including plant varieties, specifications, prices, and origins; Garden service database module, which records and manages relevant information about garden greening services, such as the specific content, charging standards and specific information of service providers of garden design services, greening construction services, maintenance services, etc. User information management module, which can safely and effectively collect, store and manage users' personal information, purchase history, browsing history and other data, so as to provide users with personalized services and accurate recommendations; Intelligent recommendation system, which can use data analysis algorithms to accurately recommend suitable landscaping products and services to users based on their browsing history, purchase history, personal preferences and other data. The data analysis algorithms include but are not limited to collaborative filtering algorithms, content-based recommendation algorithms, etc., and can continuously learn and optimize recommendation results to better meet user needs; The online transaction module supports a variety of safe and fast payment methods, and can update the transaction status in real time, making it easier for buyers and sellers to track order status and ensure smooth transactions; The supply and demand matching module uses an intelligent matching algorithm to comprehensively consider factors such as the attributes, price, and geographic location of products or services. It can efficiently and accurately match the information of garden product suppliers and service providers with the needs of users to improve the success rate and efficiency of transactions; The evaluation and feedback system allows users to evaluate and provide feedback on the garden products they purchased and the services they enjoy. The platform management can identify and handle malicious evaluations and false feedback to ensure the fairness and reliability of the evaluation and feedback system. At the same time, these evaluation and feedback information will be collected and used to improve the quality of products and services, and can also provide reference for other users.

2. The method for operating an intelligent landscaping e-commerce data platform according to claim 1, characterized in that: The following steps are involved: Collect and organize relevant data through the garden product database module and the garden service database module; Collect user data using the user information management module; Recommend products and services to users with the help of intelligent recommendation systems; Complete transactions through the online trading module; Use the supply and demand matching module to improve the efficiency of supply and demand matching; Rely on the evaluation and feedback system to collect user evaluations and feedback to improve product and service quality.

3. The intelligent landscaping e-commerce data platform according to claim 2 is characterized by: Regularly analyze and organize the platform's data, optimize the database structure and algorithms to improve the platform's performance and user experience.

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