A water station compliance system

Abstract

This invention relates to the field of water station transportation technology, and in particular to a water station fulfillment system, comprising an order receiving and preprocessing module, a transportation capacity scheduling module, a delivery route optimization module, a fulfillment monitoring module, a data prediction and storage module, a collaborative fulfillment module, and a terminal interaction module. Each module communicates bidirectionally through a data interface to achieve real-time data sharing and collaborative work. Each module respectively implements the functions of order preprocessing, transportation capacity scheduling, route optimization, fulfillment monitoring, demand prediction, collaborative fulfillment, and multi-role interaction, solving the core contradiction between a large number of water distribution orders and the weak delivery capacity of water stations, as well as the problem of opaque fulfillment status.

Description

Technical Field

[0001] This invention relates to the field of water station transportation technology, and in particular to a water station compliance system. Background Technology

[0002] With the improvement of residents' living standards and the increase in water demand in office settings, orders for bottled and packaged water have exploded, especially during peak periods (such as weekday morning rush hours and holidays). Water stations often face order backlogs and delivery delays. Current water station delivery models generally have many limitations, resulting in a serious mismatch between delivery capacity and order volume, specifically manifested in the following ways: 1. Inefficient capacity scheduling: Traditional water stations mostly use a manual order dispatch model, relying on the experience of staff to allocate delivery tasks. This makes it impossible to dynamically schedule delivery tasks in real time based on the location of delivery personnel, capacity load, and order priority. This can easily lead to situations where some delivery personnel are overloaded while others are idle. At the same time, the problem of insufficient compliant capacity has become more prominent due to the new regulations on electric tricycles and quadricycles. Some water stations even have problems such as illegal use of vehicles and waste of capacity, which exacerbates the delivery pressure.

[0003] 2. Disorganized order management: The lack of a unified order integration and classification mechanism makes it impossible to accurately distinguish the urgency, delivery distance, and order type (such as individual customers and large corporate clients), resulting in delays for urgent orders, a decline in service quality for large customer orders, and further reduction in fulfillment efficiency.

[0004] 3. Waste of transportation resources: Water stations are fragmented and operate independently, lacking an effective mechanism for capacity coordination. Neighboring water stations cannot share orders or complement each other's capacity. When orders surge at a single water station, it cannot utilize the remaining capacity of surrounding water stations to complete deliveries, resulting in order fulfillment delays. At the same time, delivery routes are mostly fixed and not optimized based on real-time traffic conditions or the need to merge multiple orders, resulting in a high empty-run rate, low average daily delivery volume per vehicle, and low capacity utilization.

[0005] 4. Lack of transparency in fulfillment status: The entire delivery process lacks real-time monitoring. Water station managers cannot keep track of order delivery progress, delivery personnel location, and vehicle status. When delivery delays, lost orders, or incorrect orders occur, they cannot be detected and dealt with in a timely manner. Users also cannot check the delivery status in real time, which reduces user experience and increases the after-sales costs of water stations.

[0006] In existing technologies, some water stations attempt to improve their delivery capacity by increasing delivery personnel and purchasing delivery vehicles. However, this significantly increases the operating costs of water stations and fails to address core issues such as unreasonable capacity scheduling and resource waste, making it difficult to balance order fulfillment efficiency with operating costs. While some instant retail platforms offer fast delivery over short distances, they cannot adapt to the specific characteristics of water station distribution scenarios (such as the large weight of bottled water, complex delivery routes, and the need to collect empty bottles), thus failing to fundamentally solve the water station fulfillment problem. Therefore, there is an urgent need for a water station fulfillment system that can accurately schedule capacity, integrate order resources, optimize delivery processes, and reduce operating costs to address the current industry pain point of having many water distribution orders but weak water station delivery capabilities. Summary of the Invention

[0007] The purpose of this invention is to address the above-mentioned shortcomings in the existing technology by proposing an intelligent water distribution method.

[0008] To achieve the above objectives, the present invention adopts the following technical solution: A water station fulfillment facilitation system includes an order receiving and preprocessing module, a transportation capacity scheduling module, a delivery route optimization module, a fulfillment monitoring module, a data prediction and storage module, a collaborative fulfillment module, and a terminal interaction module. Each module communicates bidirectionally through a data interface to achieve real-time data sharing and collaborative work. Each module respectively implements the functions of order preprocessing, transportation capacity scheduling, route optimization, fulfillment monitoring, demand prediction, collaborative fulfillment, and multi-role interaction.

[0009] Furthermore, the order receiving and preprocessing module receives various water distribution orders, cleans and classifies the order information, and assigns priorities. The classification dimensions include delivery time, order type, and delivery distance. Priority is given to large enterprise customer orders and urgent orders, while high-frequency user orders are also marked.

[0010] Furthermore, the capacity scheduling module collects data on internal delivery resources and external collaborative capacity, and uses an improved ant colony algorithm to achieve optimal matching between orders and capacity. Internal delivery resources include information on delivery personnel and delivery vehicles, while external collaborative capacity includes the capacity of surrounding cooperative water stations and compliant third-party delivery platforms.

[0011] Furthermore, the capacity scheduling module prioritizes the use of internal water station capacity. When internal capacity is insufficient, it sequentially calls upon the capacity of surrounding cooperative water stations and compliant third-party delivery platforms to avoid overloading delivery personnel.

[0012] Furthermore, the delivery route optimization module combines real-time traffic data, delivery order, and empty bin recycling needs to generate and update the optimal route in real time, supporting the combined delivery of multiple orders and prioritizing the delivery of urgent and high-frequency user orders.

[0013] Furthermore, the fulfillment monitoring module tracks delivery status via GPS positioning, displays the entire order process status, automatically issues warnings in case of abnormalities, and records receipt information and empty bucket recycling status to achieve traceable fulfillment.

[0014] Furthermore, the data prediction and reserve module accurately predicts future order conditions based on multiple types of data, outputs capacity reserve suggestions, and plans compliant capacity in conjunction with the new regulations for electric tricycles and quadricycles.

[0015] Furthermore, the collaborative fulfillment module builds a collaborative platform to achieve capacity collaboration and order sharing between water stations and with third-party delivery platforms, forming a three-tiered capacity system and establishing a settlement mechanism.

[0016] Furthermore, the terminal interaction module includes three types of terminals: water station management, delivery personnel, and users, which respectively realize operation management, task processing, and order interaction functions; the system also includes an exception handling and data statistical analysis module to ensure stable performance and provide decision support.

[0017] The beneficial effects of this invention are: 1. It solves the core contradiction between a large number of water distribution orders and weak delivery capacity of water stations: Through a three-tier transportation capacity system (own capacity + cooperative capacity + third-party capacity) and intelligent order dispatch algorithm, it achieves optimal matching of transportation capacity and orders, makes full use of existing transportation resources, breaks the fragmented operation pattern of water stations, avoids the coexistence of idle capacity and insufficient capacity, and adapts to the new regulations for electric tricycles and quadricycles to ensure transportation capacity compliance, effectively improves the order fulfillment rate, and reduces the order fulfillment delay rate by more than 80%.

[0018] 2. Optimize delivery processes and improve delivery efficiency: By pre-processing and classifying orders, optimizing delivery routes, and merging multiple orders for delivery, delivery time and vehicle empty-running rate are reduced, the average daily delivery volume per vehicle is increased, and delivery costs are reduced. Compared with the traditional manual order dispatching model, delivery efficiency is improved by more than 50%, the empty-running rate is controlled below 12%, and the average daily delivery volume per vehicle is increased to more than 150 bottles, effectively solving the problem of low efficiency in bottled water delivery.

[0019] 3. Achieve full traceability of the fulfillment process and reduce operational risks: The fulfillment monitoring module tracks order delivery progress, delivery personnel and vehicle status in real time, promptly detects and handles fulfillment anomalies, reduces issues such as incorrect orders, lost orders, and delays, and lowers water station after-sales costs; at the same time, it retains fulfillment vouchers for easy subsequent traceability and management, and avoids operational risks caused by unauthorized vehicle use.

[0020] 4. Accurately predict demand and reserve transportation capacity in advance: Through big data prediction algorithms, accurately predict future order volume and delivery peaks, allocate transportation capacity and inventory in advance, avoid order backlog during peak hours, improve fulfillment stability, reduce idle capacity during off-peak hours, reduce water station operating costs, and achieve a balance between order fulfillment efficiency and operating costs.

[0021] 5. Optimize multi-role interaction experience: Through the terminal interaction module, efficient information interaction is achieved among water station managers, delivery personnel, and users. Managers can monitor the operational status in real time, delivery personnel can easily receive and provide feedback on delivery tasks, and users can check order progress in real time, improving user satisfaction and delivery personnel efficiency, and helping water stations transform from "selling products" to "selling services".

[0022] 6. Highly practical and widely adaptable: This system can be adapted to water stations of different sizes (small community water stations and large chain water stations). The parameters can be adjusted according to the actual transportation capacity and order volume of the water station. There is no need for large-scale transformation of the existing operation mode. The investment cost is low and it is easy to promote and apply. At the same time, it can adapt to the delivery needs of various water products such as bottled water and empty bottled water, and also take into account special scenarios such as empty bottle recycling. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the framework of a water station compliance system proposed in this invention. Detailed Implementation

[0024] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0025] In the description of this invention, unless otherwise stated, "a plurality of" means two or more; the terms "upper," "lower," "left," "right," "inner," "outer," "front end," "rear end," "head," "tail," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first," "second," "third," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0026] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0027] The specific working process of the order receiving and preprocessing module: The order receiving and preprocessing module receives water delivery orders in real time from WeChat mini-programs, water station apps, third-party food delivery platforms (such as Meituan Flash Sale), offline store registrations, and telephone reservations. Order information includes user name, contact number, delivery address (accurate to the building and unit level), order quantity (e.g., 1 18L bottled water, 10 500ml bottles of water), water type (mineral water, purified water, soda water), delivery time requirements (e.g., "delivered within 1 hour", "delivered before 18:00 today", "delivered between 9:00 and 11:00 tomorrow"), whether empty bottles need to be recycled (e.g., "recycle 2 empty 18L bottles"), and order source (online / offline).

[0028] First, the order information is cleaned to remove invalid orders. Invalid orders include those with missing user contact numbers, incorrect delivery addresses (e.g., no specific building or unit), zero order quantity, and unreasonable delivery time requirements (e.g., "instant delivery but too far to be achieved"). Then, valid orders are categorized based on the following dimensions: 1. Categorized by delivery time requirements: Urgent orders (delivered within 1 hour), Regular orders (delivered on the same day), Scheduled orders (delivered the next day or later); 2. Classified by order type: Corporate customer orders (monthly order quantity ≥ 50 barrels), Individual customer orders (monthly order quantity < 50 barrels); 3. Classified by delivery distance: Near-distance orders (delivery distance < 2km), medium-distance orders (2km ≤ delivery distance < 5km), and long-distance orders (delivery distance ≥ 5km).

[0029] Orders are prioritized based on preset rules, with priority from highest to lowest as follows: urgent orders for large corporate clients > urgent orders for individual customers > regular orders for large corporate clients > regular orders for individual customers > pre-booked orders. At the same time, historical water usage data of users is linked, and orders from high-frequency users with a monthly order volume of ≥30 barrels in the past 3 months are marked first among those with the same priority, to ensure the delivery experience for high-frequency users and large clients. Finally, standardized order data is output and synchronized to the capacity scheduling module.

[0030] The specific working process of the capacity scheduling module: The transportation scheduling module collects two types of data in real time: First, data on internal water station delivery resources, which is entered and updated through the water station management terminal. This includes delivery personnel information (on-duty status, current location (obtained via GPS positioning), current delivery load (e.g., 3 barrels of water already received, maximum load is 10 barrels), delivery area (e.g., responsible for XX community, XX office building), delivery experience (e.g., more than 1 year of service, skilled in corporate order delivery)) and delivery vehicle information (vehicle type (compliant electric tricycle, van), compliance status (registered, compliant with local electric tricycle / van regulations)). The data includes: 1) new regulations for electric tricycles; 2) load capacity (e.g., the maximum load capacity of an electric tricycle is 20 18L bottles of water); 3) remaining power / fuel; 4) current location; and 5) whether the vehicle can be used for empty bottle recycling (e.g., the vehicle is equipped with an empty bottle storage area). 6) external collaborative transportation capacity data, collected through the collaborative fulfillment module, including the remaining capacity of cooperative water stations within a 3km radius (e.g., cooperative water station A currently has 2 idle delivery personnel who can handle the delivery of 5 bottles of water) and the available capacity of compliant third-party delivery platforms (e.g., local instant delivery platforms) (e.g., the platform currently has 10 delivery personnel who can handle water delivery orders).

[0031] An improved ant colony algorithm is used to calculate the optimal order dispatch plan by comprehensively considering factors such as order priority, delivery distance, capacity load, delivery time requirements, and empty bucket recycling needs. The specific execution logic is as follows: 1. Real-time statistics on the current available transportation capacity within the water station (number of on-duty delivery personnel, number of idle vehicles, total order volume that can be handled); 2. Compare available delivery capacity with the total number of pre-processed orders. If available delivery capacity is greater than or equal to the total number of orders, then the orders will be assigned to the delivery personnel with the lowest load and closest to the order delivery address. Priority will be given to assigning high-priority orders. At the same time, the delivery personnel's delivery experience and delivery range will be taken into account. For example, corporate customer orders will be assigned to delivery personnel who are good at corporate delivery, and orders that require empty bins will be assigned to vehicles equipped with empty bin storage areas. 3. If the available transport capacity is less than the total number of orders, the transport capacity gap is calculated, and the remaining transport capacity of the surrounding cooperative water stations is used first. Order acceptance requests are sent to the cooperative water stations, and after confirmation by the cooperative water stations through their management terminals, the corresponding orders are accepted, thus realizing order sharing. 4. If the remaining capacity of nearby cooperative water stations is still insufficient to fill the capacity gap, the capacity of a compliant third-party delivery platform will be automatically utilized. Order information will be sent to the platform through an interface, and the platform will assign delivery personnel to accept the orders, forming a three-level capacity collaboration to ensure that all orders can be dispatched in a timely manner.

[0032] Meanwhile, the capacity scheduling module monitors the load changes of deliverymen in real time. When a deliveryman's load reaches 80% of the maximum load, no new orders will be assigned to him to avoid overloading. When a deliveryman completes an order and his load decreases, new orders will be assigned to him in a timely manner to make full use of the capacity resources.

[0033] The specific working process of the delivery route optimization module: The delivery route optimization module works in conjunction with the transportation capacity scheduling module. Once the transportation capacity scheduling module completes the order dispatch, the delivery route optimization module immediately obtains all the dispatched tasks for that delivery person (such as 3 short-distance regular orders and 1 emergency order), the delivery address of each order, real-time traffic data (obtained through a third-party map interface, including congested road sections, construction road sections, and traffic light durations), and empty bin recycling requirements (such as 2 orders requiring empty bin recycling).

[0034] The optimal delivery route is generated using a route optimization algorithm (combining an improved ant colony algorithm and Dijkstra's algorithm). The specific optimization logic is as follows: 1. Prioritize delivery order: Urgent orders will be given priority as the first delivery node; remaining regular orders will be sorted according to the concentration of delivery addresses, with orders from the same residential area or office building grouped together for combined delivery; 2. Avoid congested sections: Based on real-time traffic data, avoid congested and construction sections and choose the route with the highest traffic efficiency; 3. Integrate empty bucket recycling routes: Arrange orders that require empty bucket recycling in the latter half of the delivery route, so that delivery personnel can return directly to the water station after collecting the empty buckets, reducing empty driving distance; 4. Real-time route updates: If real-time traffic conditions change during the delivery process (such as sudden congestion), the system will automatically recalculate the optimal route and push it to the delivery person's terminal to ensure that the delivery time is not affected.

[0035] For example, a delivery person takes on three orders, located in residential area A, office building B, and residential area C respectively. The order in residential area A is an urgent order, and the order in office building B requires the collection of empty buckets. The optimized route is: water station → residential area A (urgent order) → office building B (empty bucket collection) → residential area C → water station. Compared with the traditional fixed route, the delivery time is shortened by more than 20%, and the empty driving distance is reduced by more than 30%.

[0036] Overall System Workflow The overall workflow of this system is as follows: 1. Order Receiving and Preprocessing: The system receives various water distribution orders, performs cleaning, classification, and priority sorting, and outputs standardized order data; 2. Transportation capacity scheduling: Collect internal and external transportation capacity data, and use intelligent algorithms to achieve optimal matching between orders and transportation capacity to complete order dispatch; 3. Route optimization: Based on order dispatch tasks and real-time traffic data, generate the optimal delivery route and push it to the deliveryman's terminal; 4. Fulfillment monitoring: Real-time tracking of delivery progress, delivery personnel and vehicle status, and timely alerts for any abnormalities; 5. Anomaly Handling: For any anomalies that occur during the fulfillment process, handle them according to the preset procedures to ensure that orders are fulfilled normally; 6. Confirmation of receipt: After the delivery person completes the delivery, he / she uploads the receipt (signature photo, recipient information), the system marks the order as "signed", and pushes a receipt notification to the user's terminal at the same time; 7. Data Statistics and Forecasting: Analyze order fulfillment data and transportation capacity data, use big data algorithms to predict future order volume and transportation capacity demand, and output transportation capacity reserve suggestions; 8. Collaborative Fulfillment: When there is insufficient transportation capacity, the collaborative fulfillment module can be used to call upon cooperative water stations or third-party transportation capacity to ensure the order fulfillment rate.

[0037] The specific working process of the exception handling module The exception handling module works in conjunction with the performance monitoring module, receiving exception signals pushed by the performance monitoring module in real time and executing preset processing procedures for different exception types: 1. Order Anomalies: If an incorrect order is found (such as the delivered water product not matching the order) or a lost order is found, the system will automatically mark the order as "anomaly" and send an alert to the water station management terminal. After the management personnel confirm, the order will be reassigned. At the same time, the user will be informed of the situation through the user terminal and given compensation such as coupons to improve the user experience. If an invalid order is found, it will be directly rejected and no order will be reassigned. 2. Delivery Anomalies: If the delivery person fails to complete the delivery beyond the preset delivery time (delivery delay), the system will automatically analyze the cause of the delay (such as traffic congestion or vehicle breakdown). If it is due to traffic congestion, the system will automatically re-optimize the delivery route; if it is due to vehicle breakdown, the system will dispatch a spare compliant vehicle to take over the delivery and notify the delivery person and the user at the same time; if the system finds that the delivery person is absent from their post, the system will immediately contact the delivery person and reassign the delivery task. 3. Abnormal delivery capacity: In the event of a sudden shortage of delivery capacity (such as multiple delivery personnel taking temporary leave), the system will automatically call upon nearby partner water stations or third-party delivery capacity to fill the gap and ensure that orders are not delayed.

[0038] The specific working process of the data statistics and analysis module: The data statistics and analysis module collects order data, transportation capacity data, fulfillment data, and cost data in real time, performs statistical analysis, and generates various operational reports, including: 1. Fulfillment Rate Report: Statistics on daily, weekly, and monthly order fulfillment rate (number of signed orders / total number of orders), delay rate (number of delayed orders / total number of orders), error rate, and lost order rate, providing a clear view of the system's fulfillment performance; 2. Delivery Efficiency Report: Statistics on average daily delivery orders per delivery person, average daily delivery volume per vehicle, average delivery time, and empty mileage rate, analyzing the operational efficiency of delivery persons and vehicles; 3. Capacity Utilization Report: This report provides statistics on the utilization rates of internal, partner, and third-party capacity, analyzes the use of capacity resources, and provides a basis for capacity allocation. 4. Cost Analysis Reports: Statistics on delivery costs (labor costs, vehicle energy costs, and third-party transportation fees) and operating costs; analysis of cost structure; and provision of decision support for water station to optimize operating strategies and reduce costs.

[0039] This embodiment maintains high efficiency, low cost, and low delay operation even during peak order periods. The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the technical scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A water station compliance system, characterized in that, It includes an order receiving and pre-processing module, a capacity scheduling module, a delivery route optimization module, a fulfillment monitoring module, a data prediction and reserve module, a collaborative fulfillment module, and a terminal interaction module. Each module communicates bidirectionally through a data interface to achieve real-time data sharing and collaborative work. Each module respectively implements the functions of order pre-processing, capacity scheduling, route optimization, fulfillment monitoring, demand prediction, collaborative fulfillment, and multi-role interaction.

2. The water station contract fulfillment facilitation system according to claim 1, characterized in that, The order receiving and preprocessing module receives various water distribution orders, cleans and classifies the order information, and assigns priorities. The classification dimensions include delivery time, order type, and delivery distance. Priority is given to large enterprise customer orders and urgent orders, while high-frequency user orders are also marked.

3. The water station contract fulfillment facilitation system according to claim 1, characterized in that, The capacity scheduling module collects data on internal delivery resources and external collaborative capacity, and uses an improved ant colony algorithm to achieve optimal matching of orders and capacity. Internal delivery resources include information on delivery personnel and delivery vehicles, while external collaborative capacity includes the capacity of surrounding cooperative water stations and third-party compliant delivery platforms.

4. The water station contract fulfillment facilitation system according to claim 3, characterized in that, The capacity scheduling module prioritizes the use of the water station's internal capacity. When the internal capacity is insufficient, it sequentially calls upon the capacity of surrounding cooperative water stations and compliant third-party delivery platforms to avoid overloading delivery personnel.

5. A water station compliance system according to claim 1, characterized in that, The delivery route optimization module combines real-time traffic data, delivery order, and empty bin recycling needs to generate and update the optimal route in real time, supporting the combined delivery of multiple orders and prioritizing the delivery of urgent and high-frequency user orders.

6. The water station contract fulfillment facilitation system according to claim 1, characterized in that, The fulfillment monitoring module tracks delivery status via GPS positioning, displays the entire order process status, automatically issues warnings in case of abnormalities, and records receipt information and empty bucket recycling status to achieve traceability of fulfillment.

7. The water station contract fulfillment facilitation system according to claim 1, characterized in that, The data prediction and reserve module accurately predicts future order conditions based on multiple types of data, outputs capacity reserve suggestions, and plans compliant capacity in conjunction with the new regulations for electric tricycles and quadricycles.

8. A water station contract fulfillment facilitation system according to claim 1, characterized in that, The collaborative fulfillment module establishes a collaborative platform to enable capacity collaboration and order sharing between water stations and with third-party delivery platforms, forming a three-tiered capacity system and establishing a settlement mechanism.

9. A water station contract fulfillment facilitation system according to claim 1, characterized in that, The terminal interaction module includes three types of terminals: water station management, delivery personnel, and users, which respectively realize operation management, task processing, and order interaction functions; the system also includes an exception handling and data statistical analysis module to ensure stable performance and provide decision support.

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