ESG index-based hotel management green supply chain system and optimization method thereof

Abstract

The invention is suitable for the technical field of green supply chains, and provides a hotel management green supply chain system based on an ESG index and an optimization method thereof, and the system comprises a management end, a supply end, a user end, an approval end and a logistics end. In the supply chain optimization method, a system automatically gives scores according to ESG index item information self-filled by suppliers, suppliers meeting ESG index scores are selected on the basis that supplier selection and evaluation meet supply chain basic requirements, and if price and inventory data do not meet supply conditions in the process, the system automatically selects suppliers of the next grade; meanwhile, through carbon footprint calculation of logistics information and supplier check of supplier attribution normalization analysis; therefore, the device can optimize a supplier selection scheme, reduce logistics cost and environmental influence, and establish an ESG index-based supply chain green management optimization system accurate to subdivided products.

Description

Technical Field

[0001] The present invention is applicable to the field of green supply chain technology and provides a hotel management green supply chain system based on ESG indicators and an optimization method thereof. Background Art

[0002] As the concept of global sustainable development becomes increasingly popular, environmental, social and governance (ESG) indicators have become an important standard for measuring corporate social responsibility and sustainable development levels. In the hotel industry, green supply chain management is not only an inevitable trend in responding to environmental protection and social responsibility requirements, but also an important means to improve corporate competitiveness and market appeal. By incorporating ESG indicators into the green supply chain management system, hotels can more effectively evaluate and optimize the environmental impact, social responsibility fulfillment and governance structure of their supply chains, thereby achieving sustained growth in economic benefits while ensuring efficient resource utilization and reducing environmental burdens. Therefore, green supply chain management of hotels with ESG indicators as the core will not only help enhance the hotel's brand image, but also promote innovation and transformation in the hotel industry in terms of sustainable development.

[0003] However, many hotels currently still have shortcomings in green supply chain management, particularly in the construction and optimization of ESG-focused supply chain management systems. Many hotels fail to fully consider requirements for green procurement, energy conservation and emission reduction, waste disposal, and social responsibility, resulting in their supply chain management still largely focusing on short-term goals of cost and efficiency while neglecting long-term environmental and social sustainability. Furthermore, in current green supply chain management practices, hotels lack effective systematic management and optimization methods for the specific application and monitoring of ESG indicators, resulting in their green supply chains failing to fully realize their potential. Therefore, how to build and optimize a green supply chain system in hotel management based on ESG indicators has become a pressing issue. Summary of the Invention

[0004] In view of the above-mentioned shortcomings, the present invention aims to provide a hotel management green supply chain system based on ESG indicators and an optimization method thereof, in order to solve the problems raised in the background technology, including:

[0005] Management terminal: This terminal is the hotel's supply chain management terminal, capable of creating new projects and classifying projects for each supply chain project; it is used to store supplier data information, provide supply chain overview, procurement plan management, inventory management, order tracking, and report analysis;

[0006] Supply side: This is the supplier terminal, which synchronizes data with the management side in real time. It can receive and confirm purchase orders, update inventory and production schedules, enter transportation information, and synchronize information data to the management side and user side.

[0007] User terminal: It is the daily operation terminal of each department, allowing department heads to directly submit material requirements and view order status, inventory balance and logistics progress in real time;

[0008] Approval side: a compliance review tool for senior management and finance teams;

[0009] Logistics side: a task execution platform for logistics companies and delivery personnel.

[0010] Furthermore, the management terminal includes:

[0011] Input module: Used to create new projects for each supply chain project. The new project corresponds to the general category of products used by the hotel. The general category includes specific products from different manufacturers, the different suppliers corresponding to the products, and the supplier's quotation data, logistics data, inventory data, and ESG attribute information.

[0012] Data update module: used to update the data input by the management end, user end, supply end, etc. on multiple ports;

[0013] Data Quantification Analysis Module: This module is used to quantify, evaluate, and select information such as ESG indicators, logistics data, and quotations provided by the supply and logistics sides.

[0014] Order generation module: Automatically generate purchase orders that are more in line with ESG indicators and basic product information.

[0015] Furthermore, the supply end includes:

[0016] Receiving module: used to receive purchase orders;

[0017] Quotation update module: used to synchronize quotations to the management end in real time;

[0018] Inventory update module: used to update the inventory status of products;

[0019] Supply arrangement module: used to update production and delivery information;

[0020] Supply tracking module: used to update the transportation and delivery status of goods.

[0021] The hotel management green supply chain optimization method based on ESG indicators uses a hotel management green supply chain system based on ESG indicators. The optimization method includes the following steps:

[0022] S1.Supplier selection and evaluation;

[0023] S1.1. ESG indicator scoring: The system automatically assigns scores based on the ESG indicator information provided by the supplier.

[0024] S1.2. The system selects suppliers that meet ESG criteria based on price and inventory information synchronized to the management side in real time. The management side selects suppliers that offer the best value for money and meet ESG standards based on price, inventory, and ESG scores. If price and inventory data do not meet supply requirements, the system automatically selects the next lower-tier supplier.

[0025] S1.3. Supplier selection based on carbon footprint calculation of logistics information and supplier location normalization analysis;

[0026] The system calculates the carbon footprint based on the supplier's address and logistics information, combined with transportation mode and distance, and prioritizes logistics solutions or supplier selection solutions with low carbon emissions that also meet ESG indicator scoring, price and inventory information conditions;

[0027] The system optimizes the normalization of supplier locations based on the suppliers’ locations to ensure maximum logistics efficiency while further meeting the impact of ESG indicators.

[0028] Furthermore, the method further comprises step S2. real-time inventory monitoring;

[0029] By reading and integrating material usage data from the user side, the system monitors inventory in real time. The system automatically triggers the replenishment or return process based on the preset inventory replenishment threshold, and dynamically adjusts the inventory strategy based on usage records.

[0030] Furthermore, the method further includes step S3. Generating procurement process management in real time; step S3 includes:

[0031] S3.1. Requirements submission and summary;

[0032] Based on the real-time inventory monitoring data in step S2, the user terminals of various departments within the hotel automatically update the procurement requirements, and the system automatically summarizes the requirements;

[0033] S3.2. Generate purchase plan order;

[0034] Generate a procurement plan based on the needs of various departments summarized by the system. The procurement plan is an order awaiting approval. When the procurement plan is not being operated or is waiting for approval, the system optimizes the order content based on real-time updated data.

[0035] S3.3. The approval department provides approval recommendations for procurement plans based on ESG scores and budgetary conditions to ensure that procurement decisions meet ESG indicator requirements;

[0036] Furthermore, the method also includes step S4. Logistics management; the logistics end updates the cargo transportation status in real time, including the delivery time, transportation method, and estimated arrival time.

[0037] Furthermore, the method also includes S5. Data sharing and display; the system synchronizes data at multiple ports to ensure real-time synchronization of data at the management end, supply end, user end, approval end, and logistics end, thereby realizing information sharing.

[0038] Furthermore, the method also includes step S6. Risk control; the data quantitative analysis module regularly generates optimization reports, compares the existing supply chain strategy with the latest data, and proposes improvement plans; at the same time, the system evaluates supply chain risks based on data such as supplier performance records and logistics stability, and generates risk reports.

[0039] Furthermore, the ESG score in step S1 is automatically assigned a score based on the ESG indicator project information filled in by the supplier. The ESG indicator project information filled in by the supplier includes the specific performance of the three major dimensions of environment, society and governance.

[0040] Furthermore, the system sets screening criteria based on the self-filled ESG indicator project information by the management side, and uses the rule engine and machine learning model to assign an ESG score to the product.

[0041] The system of the present invention has the following beneficial effects:

[0042] 1. Improve supply chain transparency and traceability; be able to record the entire process information of products from raw materials to suppliers to classic internal management.

[0043] 2. Collaboratively enhance management efficiency; achieve real-time information sharing and collaborative work, promote close cooperation among all links in the supply chain, and enhance overall competitiveness.

[0044] 3. Improve operational efficiency: Leverage technologies such as big model data analysis to achieve intelligent management of inventory, suppliers, logistics, and other links, rationally adjust inventory levels, optimize logistics distribution routes, and meet ESG indicator requirements.

[0045] 4. Enhance decision-making accuracy: Digital technology provides enterprises with the ability to quickly acquire and analyze large amounts of data, make scientific decisions based on accurate and timely data, and better respond to market changes and customer needs.

[0046] 5. Supply chain management that complies with the ESG concept, focuses on environmental protection, social responsibility and corporate governance, helps enhance the company's social image and brand value, and establishes a supply chain green management optimization system that is accurate to the level of subdivided products.

[0047] 6. Reduce risks: Monitor supply chain risks in real time, issue early warnings and formulate response strategies to enhance supply chain flexibility and resilience.

[0048] The supply chain optimization method of the present invention has the following beneficial effects:

[0049] 1. Optimize supplier selection and evaluation: By assigning ESG indicators, we automatically screen suppliers with high cost-effectiveness and compliance with ESG standards, ensuring the sustainability and competitiveness of the supply chain. Furthermore, by combining carbon footprint calculation of logistics information and supplier location normalization analysis, we further optimize supplier selection and reduce logistics costs and environmental impact.

[0050] 2. Real-time inventory monitoring and precise replenishment: Read and integrate user-side material usage data, monitor inventory quantity, location, expiration date and other information in real time, and automatically trigger replenishment or return processes based on preset thresholds to avoid inventory backlogs and out-of-stock phenomena and improve inventory turnover.

[0051] 3. Optimize procurement process management: Automatically summarize the procurement needs of various departments, generate procurement plan orders for approval, and optimize order content based on real-time updated data during the approval process to ensure that procurement decisions meet ESG indicator requirements and improve procurement efficiency and accuracy.

[0052] 4. Improve logistics management efficiency: Real-time updates on cargo transportation status, including shipping time, transportation method, and estimated arrival time, allow companies to promptly monitor logistics progress and rationally arrange follow-up work. Furthermore, carbon emissions are calculated based on transportation method and distance, factored into ESG scoring, further controlling environmental impact.

[0053] 5. Strengthen data sharing and display: synchronize data on multiple ports to ensure real-time sharing of data among management, supply, user, approval and logistics terminals, improve information flow efficiency and promote collaborative work among departments.

[0054] 6. Strengthening Risk Control and Continuous Improvement: The data quantitative analysis module regularly generates optimization reports, comparing existing supply chain strategies with the latest data and proposing improvement plans. Furthermore, it assesses supply chain risks based on data such as supplier performance records and logistics stability, generating risk reports to help companies adjust strategies and mitigate risks in a timely manner. DETAILED DESCRIPTION

[0055] The exemplary embodiments will be described in detail herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0056] In the current enterprise collaboration environment, some companies independently develop internal supply chain systems for supply chain management, while others lack systematic tool support. When two companies establish a business supply and demand collaboration, the docking model typically takes three forms: manual cross-enterprise collaboration, semi-automated docking, and direct interaction between systems.

[0057] Today, with the influence of the information age and in line with the concept of sustainable development, the requirements for the timeliness, traceability and sustainability of supply chain information are becoming more and more stringent, which means that an advanced management method is needed that comprehensively considers environmental impact, resource utilization efficiency and corporate profits in the entire supply chain process.

[0058] Green Supply Chain Management (GSCM) was first proposed by the Michigan State University Manufacturing Consortium (MRC) in 1996 as part of its "Environmentally Responsible Manufacturing" project. Its key components include green procurement, green manufacturing, green sales, green consumption, green recycling, and green logistics. It requires companies to prioritize environmental protection and social responsibility while pursuing economic returns, achieving a balance between economic, social, and environmental benefits.

[0059] In order to achieve green supply chain management, this solution introduces a supply chain optimization system based on the implementation of ESG indicators, and conducts intelligent information processing, information management, process optimization, and evaluation and analysis throughout the entire supply chain process.

[0060] ESG indicators are an abbreviation of the three English words "Environmental", "Social" and "Governance". It is an indicator system used to evaluate the performance of companies in sustainable development. Specifically:

[0061] Environmental: This focuses on the company's environmental performance, including energy efficiency, greenhouse gas emissions, and waste management. For example, the hotel's operational equipment energy efficiency, the quality of disposable items, waste sorting, and resource recycling. (Logistics are standardized at the supplier's location.)

[0062] Social: Focuses on a company's performance in social responsibility, including employee rights and benefits, community involvement and public welfare, customer satisfaction, and product quality. (Social Impact Supply Chain Intelligence)

[0063] Local symbiosis: Assess the supplier's contribution to regional cultural heritage (such as intangible cultural heritage crafts) and rural revitalization, using government support project certification data and geographical indication product traceability information as input.

[0064] Empowering vulnerable groups: Quantifying the proportion of disabled employees and the completeness of the vocational training system, and accessing social welfare factory audit reports and real-time employment data.

[0065] Quality symbiotic value: Establish a quality assessment covering the entire life cycle, including raw material traceability (such as local specialty agricultural products), carbon footprint of the production process, and customer experience NPS value.

[0066] Multiple data (government databases, social media public opinion, local welfare systems) are integrated into intelligent decision-making to meet the supply chain's selection of socially compatible optimization strategies.

[0067] Governance: focuses on the company's governance structure and management methods, including supply chain transparency and risk management, performance evaluation and continuous improvement.

[0068] The purpose of the present invention is to provide a hotel management green supply chain system based on ESG indicators and an optimization method thereof. The method adopts a green supply chain optimization processing system, including a management end, a supply end, a user end, an approval end and a logistics end.

[0069] The management side targets hotel management personnel, purchasing managers, inventory managers, and other system administrators. It serves as the hotel's supply chain management terminal; it tracks purchase orders, inventory levels, logistics status, and supplier performance in real time. It uses data analysis to optimize procurement plans and inventory strategies, sends purchase requests to suppliers, submits budget requests to the approval side, and synchronizes delivery plans with logistics. It also presets inventory warning thresholds and automatically triggers replenishment and returns processes.

[0070] The target users of the user end are the terminals used by managers of various departments, such as front desk managers, restaurant managers, room service managers, cleaning and sanitation department, warehouse managers, etc.; it is the daily operation terminal of each department. Its core functions are to enable department heads to directly submit material requirements, view order status, inventory balance and logistics progress in real time, generate department-specific reports, and communicate with procurement and logistics teams through a shared platform for emergency needs.

[0071] The target users of the supply side are suppliers. The data of the supply side and the management side are synchronized in real time to ensure that the information of both parties is consistent. It includes receiving and confirming purchase orders, updating inventory and production schedules, entering transportation information (such as logistics information such as delivery time), and synchronizing information data to the management side and the user side, as well as signing cooperation agreements with the management side online.

[0072] The target users of the approval end are senior management, financial approval personnel, etc.; it is a compliance review tool for senior management and financial teams.

[0073] The target users of the logistics side are logistics companies and delivery personnel's task execution platform; it has functions such as recording transportation nodes.

[0074] The management side includes input module, data update module, data quantitative analysis module, order generation module and other functional modules.

[0075] Input module: The administrator creates new projects for each project in the supply chain. The new projects correspond to the general categories of products used in the hotel, such as low-value consumables, medium-value items, high-value durable items, food and beverages, guest room supplies, safety and emergency supplies, decoration and decorative items, etc. The administrator establishes specific product categories under the general categories, such as food and beverages include snacks, desserts, red wine, beer, soft drinks and other product categories; products correspond to specific products of different manufacturers, that is, different suppliers corresponding to the products, suppliers' quotation data, logistics data, inventory data and ESG attribute information.

[0076] Data update module: updates the data input from the management end, user end, supply end, etc. on multiple ports.

[0077] Data Quantification Analysis Module: Quantify, evaluate, and select ESG indicators, logistics data, and quotes from suppliers and logistics providers. This module quantifies the ESG indicators required for quantification and then compares the various data sets to identify the best fit for ESG indicators. Alternatively, the module automatically optimizes data at regular intervals (e.g., daily), comparing the most recently updated data with the existing supply chain strategy. If the comparison finds that the latest supply chain information is more aligned with ESG indicators, an optimization report is generated.

[0078] Order generation module: Automatically generate a proposed purchase order that is more in line with ESG indicators and basic product information, and submit the order after subsequent approval.

[0079] Other functional modules on the management side include: supply chain overview, which can retrieve and view supply chain information entered or obtained from multiple ports, including current inventory, procurement needs, supply status, etc.; procurement plan management, which generates procurement plans based on inventory status, historical demand and expected customer flow, and automatically pushes them to the supply side; inventory management, which dynamically manages inventory based on user-side input data requirements, inventory and other information, including inventory alarms, inventory analysis reports, etc., and automatically updates the quantity, location and inventory status of items; order tracking, which checks the status of procurement plans and combines the updated information on the logistics side to grasp the entire process of procurement plans from order placement to delivery, ensuring that items arrive in time; report analysis, which generates various data reports, such as monthly procurement reports, inventory turnover analysis, supplier performance, etc., to assist in decision-making.

[0080] The supply side includes a receiving module, a quotation update module, an inventory update module, a supply arrangement module, and a supply tracking module.

[0081] Receiving Module: After receiving a hotel's purchase order, the supplier needs to confirm in the system whether the order can be delivered on time. If there are any issues, the supplier can communicate with the hotel and modify the order. The Input Module includes tasks such as quote updates, inventory updates, supply scheduling, and supply tracking.

[0082] Quote Update Module: Suppliers can use this module to update product quotes. Quote updates are synchronized to the management side in real time, ensuring that the management side always has the latest product price data.

[0083] Inventory update module: Suppliers can update the inventory status of their products, and the hotel management will obtain this information in real time to facilitate the hotel's purchasing decisions.

[0084] Supply arrangement module: Suppliers arrange production and delivery according to order requirements and can enter detailed information such as expected delivery date, transportation method, delivery location, etc. in the system.

[0085] Supply tracking: Suppliers update the transportation and delivery status of goods, cooperate with the logistics side to ensure a smooth supply chain, and enable hotels to track the location of goods.

[0086] The linkage effect between the management side and the supply side

[0087] Through the coordinated management of the management and supply sides, the management side categorizes and manages each item in the supply chain, from general categories to subcategories and then to detailed management of specific products, providing classification labels and storage grids for supplier information. That is, each supplier, using their corresponding supplier side, can enter basic product information, information about suppliers linked to this supplier, inventory information, pricing information, and ESG attribute information into the corresponding product link. Basic information includes product name, specifications, units, description, images, and other information; supplier information includes supplier name, contact information, address, qualifications, historical performance record, and ESG score (automatically calculated by the system based on historical performance).

[0088] ESG scores are automatically assigned based on the ESG indicator information self-entered by suppliers, completing the ESG rating tiering between different suppliers of the same product. The ESG indicator information self-entered by suppliers includes, but is not limited to, specific performance across the three dimensions of environment, society, and governance. Examples include: environmental aspects such as energy utilization, greenhouse gas emissions, and waste management measures; social aspects such as employee rights and benefits, and community engagement; and governance aspects such as transparency and risk management. Based on this self-entered ESG indicator information, management sets a series of screening criteria and assigns an ESG score to the product using the rules engine and machine learning models within the data quantitative analysis module. The system dynamically adjusts the supplier's score based on their latest ESG data, ensuring that the score always reflects the supplier's latest performance. Ultimately, the system optimizes supply chain management strategies based on the scoring results, prioritizing suppliers with higher ESG scores to ensure the sustainability and competitiveness of the supply chain.

[0089] Suppliers can update their product and inventory information in real time through the supply side. This information is then reflected in real time on the management side via the interconnected system, ensuring that management has the latest data on prices, inventory, and other basic information. Management can then adjust procurement plans based on this updated data. Furthermore, ESG data submitted by suppliers, such as carbon emissions and social responsibility practices, is used by the system to dynamically adjust their ESG scores.

[0090] The information linkage mechanism ensures efficient and accurate information flow between suppliers and management. The real-time synchronization mechanism transmits updated supplier information to the management side via an API interface, enabling the management side's inventory management and procurement planning modules to automatically adjust based on the latest supplier data. The data verification function plays a role in the information synchronization process, verifying the completeness and accuracy of the data submitted by the supplier, such as whether the price is reasonable and whether the inventory quantity is logical. The dynamic adjustment mechanism of the ESG score changes the supplier's ESG score in real time based on the supplier's ESG data update. If the score drops, the system will remind the management side to re-evaluate the supplier's qualifications to ensure that the supply chain's ESG performance always meets the standards.

[0091] The user terminal includes an information viewing and updating module; hotel departments can use it to query inventory status at any time, including detailed information such as item quantity, storage location, and expiration date. Furthermore, when a department needs to replenish supplies, they can submit a purchase request through the system, which automatically summarizes the request and pushes the summary results to the management terminal for timely processing. The system also records item usage, such as consumption and usage time, for inventory management.

[0092] The client can be operated through a mobile terminal, such as a mobile app to view inventory information, submit requests, and receive system notifications anytime and anywhere. The client terminal is designed to streamline workflows, ensure efficient collaboration among departments, and jointly optimize the hotel's supply chain management.

[0093] The approval process includes a process approval module and a risk assessment module. The process approval module allows senior management to approve procurement plans online, and the system provides approval recommendations based on ESG scores and budgetary constraints. The risk assessment module assesses supply chain risks based on data such as supplier performance records and logistics stability, and generates risk reports to ensure that procurement plans meet ESG indicators and further ensure green supply chain requirements.

[0094] The logistics side includes the ability to update the transportation status. Delivery personnel can update the cargo transportation status in real time through the mobile terminal. At the same time, the carbon footprint is calculated. The system calculates carbon emissions based on the transportation method and distance, and includes it in the ESG scoring project to further control ESG indicators.

[0095] Therefore, the hotel management green supply chain system based on ESG indicators and its optimization method include the following steps:

[0096] S1.Supplier selection and evaluation;

[0097] S1.1. ESG indicator scoring: The system automatically assigns scores based on the ESG indicator project information filled in by the supplier.

[0098] S1.2. The system selects suppliers that meet ESG criteria based on price and inventory information synchronized to the management side in real time. The management side screens suppliers that offer high cost-effectiveness and meet ESG standards based on price, inventory, and ESG scores. If price and inventory data do not meet supply requirements, the system automatically selects the next lower-tier supplier.

[0099] S1.3. Supplier selection based on carbon footprint calculation and supplier location normalization analysis of logistics information: The system calculates the carbon footprint based on the supplier's address and logistics information, combined with transportation method and distance. The system prioritizes logistics solutions or supplier selection solutions with low carbon emissions that also meet ESG indicator scoring, price, and inventory information. The system also optimizes supplier location normalization based on supplier location to maximize logistics efficiency while further meeting ESG indicators.

[0100] S2. Real-time inventory monitoring: By reading and integrating user-side material usage data, the system monitors inventory in real time, including item quantity, location, expiration date, etc., and automatically triggers replenishment or return processes based on preset inventory replenishment thresholds, and dynamically adjusts inventory strategies based on usage records.

[0101] S3. Generate procurement process management in real time;

[0102] S3.1. Demand submission and aggregation: Based on the real-time inventory monitoring data in step S2, the user terminals of various departments within the hotel automatically update the procurement requirements, and the system automatically aggregates the requirements.

[0103] S3.2. Procurement plan order generation: Generate a procurement plan based on the needs of various departments summarized by the system. The procurement plan is an order awaiting approval. When the procurement plan (order awaiting approval) is not operated or is waiting for approval, the system optimizes the order content based on real-time updated data.

[0104] S3.3. The approval side provides approval recommendations for procurement plans based on ESG scores and budget conditions to ensure that procurement decisions meet ESG indicator requirements.

[0105] S4. Logistics management: The logistics side updates the cargo transportation status in real time, including information such as shipping time, transportation method, and estimated arrival time.

[0106] S5. Data sharing and display: The system synchronizes data across multiple ports to ensure real-time synchronization of data between the management, supply, user, approval, and logistics ends, enabling information sharing.

[0107] S6. Risk Control: The data quantitative analysis module regularly generates optimization reports, comparing existing supply chain strategies with the latest data and proposing improvement plans. The system also assesses supply chain risks and generates risk reports based on data such as supplier performance records and logistics stability.

[0108] Of course, the present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art may make various corresponding changes and modifications based on the present invention, but these corresponding changes and modifications should all fall within the scope of protection of the claims attached to the present invention.

Claims

1. The hotel management green supply chain system based on ESG indicators is characterized by: include: Management terminal: It is the hotel's supply chain management terminal, capable of creating new projects and classifying projects for each project in the supply chain; Used to store supplier data information, provide supply chain overview, procurement plan management, inventory management, order tracking and report analysis; Supply side: This is the supplier terminal, which synchronizes data with the management side in real time. It can receive and confirm purchase orders, update inventory and production schedules, enter transportation information, and synchronize information data to the management side and user side. User terminal: It is the daily operation terminal of each department, allowing department heads to directly submit material requirements and view order status, inventory balance and logistics progress in real time; Approval side: a compliance review tool for senior management and finance teams; Logistics side: a task execution platform for logistics companies and delivery personnel.

2. The hotel management green supply chain system based on ESG indicators according to claim 1 is characterized in that: The management terminal includes: Input module: Used to create new projects for each supply chain project. The new project corresponds to the general category of products used by the hotel. The general category includes specific products from different manufacturers, the different suppliers corresponding to the products, and the supplier's quotation data, logistics data, inventory data, and ESG attribute information. Data update module: used to update the data input by the management end, user end, supply end, etc. on multiple ports; Data Quantification Analysis Module: This module is used to quantify, evaluate, and select information such as ESG indicators, logistics data, and quotations provided by the supply and logistics sides. Order generation module: Automatically generate purchase orders that are more in line with ESG indicators and basic product information.

3. The hotel management green supply chain system based on ESG indicators according to claim 1 is characterized in that: The supply end includes: Receiving module: used to receive purchase orders; Quotation update module: used to synchronize quotations to the management end in real time; Inventory update module: used to update the inventory status of products; Supply arrangement module: used to update production and delivery information; Supply tracking module: used to update the transportation and delivery status of goods.

4. The hotel management green supply chain optimization method based on ESG indicators is characterized by: Using a hotel management green supply chain system based on ESG indicators, the optimization method includes the following steps: S1.Supplier selection and evaluation; S1.

1. ESG indicator scoring: The system automatically assigns scores based on the ESG indicator information provided by the supplier. S1.

2. The system selects suppliers that meet the ESG indicator scoring requirements based on price and inventory information synchronized to the management end in real time. The management end selects suppliers with high cost-effectiveness and compliance with ESG standards based on price, inventory, and ESG scores. If price and inventory data do not meet the supply requirements, the system automatically selects the next-lowest-tier supplier. S1.

3. Supplier selection based on carbon footprint calculation of logistics information and supplier location normalization analysis; The system calculates the carbon footprint based on the supplier's address and logistics information, combined with transportation mode and distance, and prioritizes logistics solutions or supplier selection solutions with low carbon emissions that also meet ESG indicator scoring, price and inventory information conditions; The system optimizes the normalization of supplier locations based on the suppliers’ locations to ensure maximum logistics efficiency while further meeting the impact of ESG indicators.

5. The hotel management green supply chain optimization method based on ESG indicators according to claim 4 is characterized in that: Also includes step S2. real-time inventory monitoring; By reading and integrating material usage data from the user side, the system monitors inventory in real time. The system automatically triggers the replenishment or return process based on the preset inventory replenishment threshold, and dynamically adjusts the inventory strategy based on usage records.

6. The hotel management green supply chain optimization method based on ESG indicators according to claim 5 is characterized in that: The step S3 also includes generating procurement process management in real time; the step S3 includes: S3.

1. Requirements submission and summary; Based on the real-time inventory monitoring data in step S2, the user terminals of various departments within the hotel automatically update the procurement requirements, and the system automatically summarizes the requirements; S3.

2. Generate purchase plan order; Generate a procurement plan based on the needs of various departments summarized by the system. The procurement plan is an order awaiting approval. When the procurement plan is not being operated or is waiting for approval, the system optimizes the order content based on real-time updated data. S3.

3. The approval side provides approval recommendations for procurement plans based on ESG scores and budget conditions to ensure that procurement decisions meet ESG indicator requirements.

7. The hotel management green supply chain optimization method based on ESG indicators according to claim 4 is characterized in that: It also includes step S4. Logistics management; the logistics end updates the cargo transportation status in real time, including delivery time, transportation method, and estimated arrival time.

8. The hotel management green supply chain optimization method based on ESG indicators according to claim 4 is characterized in that: It also includes S5. Data sharing and display; the system synchronizes data on multiple ports to ensure real-time synchronization of data on the management side, supply side, user side, approval side and logistics side, and realize information sharing.

9. The hotel management green supply chain optimization method based on ESG indicators according to claim 4 is characterized in that: It also includes step S6. Risk control; the data quantitative analysis module regularly generates optimization reports, compares the existing supply chain strategy with the latest data, and proposes improvement plans; at the same time, the system evaluates supply chain risks based on data such as supplier performance records and logistics stability, and generates risk reports.

10. The hotel management green supply chain optimization method based on ESG indicators according to claim 4 is characterized in that: The ESG score in step S1 is automatically assigned a score based on the ESG indicator project information filled in by the supplier. The ESG indicator project information filled in by the supplier includes the specific performance of the three dimensions of environment, society and governance.

11. The hotel management green supply chain optimization method based on ESG indicators according to claim 10 is characterized in that: The system uses the self-filled ESG indicator project information, with the management side setting the screening criteria, and uses the rule engine and machine learning model to assign the product an ESG score.