Multi-platform collaborative management method for an e-commerce store

Abstract

The application relates to the technical field of computers and discloses an e-commerce store multi-platform collaborative management method, which comprises the following steps: deploying a central inventory management system to maintain global unified inventory master data; deploying an event listening agent module in an e-commerce platform access layer to capture order life cycle events in real time; encapsulating the events into standardized inventory operation instructions and pushing the standardized inventory operation instructions to the central system through a distributed message middleware; the central system executes atomized inventory deduction, rollback or pre-occupation operation according to preset rules, and actively pushes the updated inventory value to each platform; meanwhile, the business activity is dynamically monitored, and the listening frequency and batch processing threshold are adaptively adjusted to optimize resource consumption. The system comprises corresponding functional units to realize the above process. Through an event-driven architecture and a dynamic scheduling strategy, the application realizes millisecond-level inventory synchronization, strong consistency guarantee and interface call efficiency improvement.

Description

Technical Field

[0001] This invention belongs to the field of computer technology, specifically relating to a method for collaborative management of e-commerce stores across multiple platforms. Background Technology

[0002] With the rapid development of e-commerce globally, more and more merchants are choosing to open stores simultaneously on multiple e-commerce platforms (such as Taobao, JD.com, Pinduoduo, and Douyin Mall) to expand their sales channels. In this context, cross-platform inventory management has become a core element in ensuring order fulfillment, maintaining user experience, and complying with platform rules. Multi-platform collaborative operation requires a central inventory system that can reflect inventory changes across all sales channels in real time and accurately, ensuring that sales activities on any one platform do not lead to overselling or inflated inventory on other platforms. However, current mainstream inventory synchronization solutions generally rely on a timed polling mechanism, where the system proactively sends inventory query and update requests to the interfaces of each e-commerce platform at fixed time intervals (e.g., every 5 minutes) to maintain inventory data consistency.

[0003] Polling-based inventory synchronization methods have revealed serious technical flaws in practical operation. In existing technologies, when multiple sales terminals generate a large number of orders simultaneously under high concurrency scenarios, the actual frequency of inventory status changes far exceeds the preset polling cycle, causing the central inventory management system to fail to perceive real inventory changes in a timely manner. This delay results in the system returning expired data when responding to inventory queries from other platforms, easily leading to invalid orders, negative inventory values, and even legal compliance risks. Furthermore, the polling mechanism continues to perform full data fetch operations even during off-peak periods, wasting computing resources and network bandwidth, and unnecessarily consuming API call quotas provided by third-party platforms, reducing overall system throughput efficiency. More critically, fixed-cycle synchronization strategies lack sensitivity to business events, failing to distinguish between urgent changes and regular fluctuations, and are ill-suited to support refined operational needs.

[0004] Current technologies therefore face a fundamental contradiction: on the one hand, the real-time and high-concurrency characteristics of e-commerce transactions require inventory status to be synchronized at the millisecond level; on the other hand, the inherent periodicity and latency bottlenecks of traditional polling architectures make them unable to meet this timeliness requirement, and are accompanied by significant resource overhead. This contradiction is particularly prominent in complex scenarios where large merchants operate hundreds of products and connect to dozens of platforms, directly restricting the reliability and scalability of multi-platform collaborative management. Therefore, there is an urgent need for a new inventory collaborative management method that abandons periodic polling, is driven by business events, and has incremental synchronization capabilities, to fundamentally solve the data latency problem under high concurrency and achieve consistency, efficiency, and security of cross-platform inventory. Summary of the Invention

[0005] This invention provides a multi-platform collaborative management method for e-commerce stores. It replaces the traditional timed polling mechanism with an event-driven real-time inventory synchronization architecture to solve the overselling or inflated inventory problems caused by inventory data delays in high-concurrency scenarios. This method utilizes a distributed message middleware to capture key business events such as order creation, payment success, cancellation, and refunds across various e-commerce platforms. Combined with the atomic inventory deduction and rollback mechanism of a central inventory management system, it achieves millisecond-level awareness and consistent updates of cross-platform inventory status. Simultaneously, a dynamic resource scheduling strategy is introduced to automatically reduce system monitoring intensity during low-activity periods, effectively saving third-party platform interface call quotas and improving overall system throughput efficiency.

[0006] This invention provides a method for multi-platform collaborative management of e-commerce stores, comprising: Deploy a central inventory management system, which maintains globally unified master data of commodity inventory and assigns a unique inventory identifier to each commodity; An event listening proxy module is deployed at the access layer of each e-commerce platform. The event listening proxy module subscribes to and captures order lifecycle events from the corresponding e-commerce platform in real time. The order lifecycle events include order creation events, payment success events, order cancellation events, and refund completion events. The order lifecycle events are encapsulated into standardized inventory operation instructions and pushed to the central inventory management system via a distributed message middleware. After receiving the standardized inventory operation instructions, the central inventory management system performs atomic inventory change operations according to preset inventory operation rules. The inventory operation rules include: performing inventory deduction operations for payment success events, performing inventory rollback operations for order cancellation events and refund completion events, and performing pre-positioned inventory operations for order creation events. After completing the inventory change operation, the central inventory management system generates an inventory status update notification and pushes the updated real-time inventory value to all connected e-commerce platforms through a reverse channel to overwrite their local cached inventory data. During system operation, the business activity indicators of each e-commerce platform are dynamically monitored. These business activity indicators include order creation rate, payment success rate, and inventory change frequency per unit time. Based on the business activity index, adjust the message retrieval interval and message batch processing threshold of the event listening agent module. When the business activity is lower than the preset threshold, extend the message retrieval interval and increase the batch processing threshold. When the business activity is higher than the preset threshold, shorten the message retrieval interval and decrease the batch processing threshold.

[0007] As one embodiment of the present invention, the event listening proxy module establishes an event subscription channel through the open application programming interfaces provided by various e-commerce platforms in a long-connection manner. The event subscription channel adopts a persistent session protocol based on a heartbeat keep-alive mechanism to ensure that critical events are not lost in the event of network jitter or brief interruption.

[0008] As one embodiment of the present invention, the standardized inventory operation instruction includes an instruction type field, a product inventory identifier field, an operation quantity field, an event unique sequence number field, and an event timestamp field, wherein the instruction type field is used to distinguish between inventory deduction, inventory rollback, or pre-occupancy inventory operations, and the event unique sequence number field is used to prevent the same event from being processed repeatedly.

[0009] As one embodiment of the present invention, the central inventory management system adopts a distributed transaction coordinator to realize the atomicity of inventory change operations. The distributed transaction coordinator is based on a two-phase commit protocol. After receiving the inventory operation instruction, it first sends a pre-commit request to all relevant database shards. After confirming that all shards have the execution conditions, it sends a formal commit request to complete the persistent update of inventory data.

[0010] As one embodiment of the present invention, the inventory status update notification is pushed through the asynchronous callback interface supported by each e-commerce platform. The push content includes the product inventory identifier and the updated available inventory value, and each push is accompanied by a digital signature to verify the legality of the message source.

[0011] As one embodiment of the present invention, the monitoring period for the business activity index is 10 seconds, and the preset threshold is set to less than 5 orders created per minute. When the business activity index is lower than the preset threshold for three consecutive monitoring periods, the low activity mode switching process is triggered.

[0012] As one embodiment of the present invention, in low-activity mode, the event listening proxy module extends the message retrieval interval from the default 100 milliseconds to 5 seconds, and increases the message batch processing threshold from single message processing to a maximum of 50 messages for merged processing, thereby reducing the number of invalid calls to third-party platform interfaces.

[0013] As one embodiment of the present invention, before performing an inventory deduction operation, the central inventory management system verifies whether the current available inventory is greater than or equal to the operation quantity. If the verification fails, the inventory operation instruction is discarded and an insufficient inventory exception code is returned to the event source platform to prevent a negative inventory state.

[0014] As one embodiment of the present invention, the globally unified commodity inventory master data is stored in a database sharding and table sharding structure, and is horizontally partitioned according to commodity category. Each partition independently maintains its inventory version number. Inventory change operations need to carry the version number for optimistic locking verification to avoid concurrent write conflicts.

[0015] As one embodiment of the present invention, the distributed message middleware adopts a highly available cluster deployment architecture and has message persistence, sequential delivery and failure retry mechanism. The maximum number of message retries is set to three, and the retry intervals are 1 second, 3 seconds and 5 seconds respectively. Messages exceeding the retry limit are transferred to the dead letter queue for manual verification.

[0016] This invention provides a multi-platform collaborative management system for e-commerce stores, comprising: The central inventory management unit is used to maintain globally unified commodity inventory master data and assign a unique inventory identifier to each commodity; The event listening agent unit is deployed in the access layer of each e-commerce platform to subscribe to and capture order lifecycle events from the corresponding e-commerce platform in real time. The order lifecycle events include order creation events, payment success events, order cancellation events, and refund completion events. The instruction encapsulation and transmission unit is used to encapsulate the order lifecycle events into standardized inventory operation instructions and push them to the central inventory management unit through a distributed message middleware. An atomized inventory operation unit is used to perform atomized inventory change operations according to preset inventory operation rules after the central inventory management unit receives the standardized inventory operation instruction. The inventory operation rules include: performing inventory deduction operations for payment success events, performing inventory rollback operations for order cancellation events and refund completion events, and performing pre-positioned inventory operations for order creation events. The inventory status synchronization unit is used to generate an inventory status update notification after the central inventory management unit completes the inventory change operation, and push the updated real-time inventory value to all connected e-commerce platforms through the reverse channel. The business activity monitoring unit is used to dynamically monitor the business activity indicators of each e-commerce platform during system operation. The business activity indicators include the order creation rate, payment success rate and inventory change frequency per unit time. The dynamic resource scheduling unit is used to adjust the message retrieval interval and message batch processing threshold of the event listening agent unit according to the business activity index. When the business activity is lower than the preset threshold, the message retrieval interval is extended and the batch processing threshold is increased. When the business activity is higher than the preset threshold, the message retrieval interval is shortened and the batch processing threshold is decreased.

[0017] As one embodiment of the present invention, the event listening agent unit establishes an event subscription channel through the open application programming interfaces provided by various e-commerce platforms in a long-connection manner, and the event subscription channel adopts a persistent session protocol based on a heartbeat keep-alive mechanism.

[0018] As one embodiment of the present invention, the standardized inventory operation instruction includes an instruction type field, a product inventory identifier field, an operation quantity field, an event unique sequence number field, and an event timestamp field.

[0019] As one embodiment of the present invention, the atomic inventory operation unit uses a distributed transaction coordinator to achieve the atomicity of inventory change operations, and the distributed transaction coordinator is based on a two-phase commit protocol.

[0020] As one embodiment of the present invention, the inventory status synchronization unit pushes information through the asynchronous callback interface supported by each e-commerce platform, and the pushed content includes the product inventory identifier and the updated available inventory value.

[0021] In one embodiment of the present invention, the monitoring period of the business activity monitoring unit is 10 seconds, and the preset threshold is set to less than 5 orders created per minute.

[0022] As one embodiment of the present invention, in low-activity mode, the event listening agent unit extends the message retrieval interval from the default 100 milliseconds to 5 seconds, and increases the message batch processing threshold from single message processing to a maximum of 50 messages for merged processing.

[0023] As one embodiment of the present invention, the atomized inventory operation unit verifies whether the current available inventory is greater than or equal to the operation quantity before performing the inventory deduction operation.

[0024] As one embodiment of the present invention, the globally unified commodity inventory master data is stored in a database sharding and table sharding structure, and is horizontally partitioned according to commodity category, with each partition independently maintaining its inventory version number.

[0025] As one embodiment of the present invention, the distributed message middleware adopts a highly available cluster deployment architecture and has message persistence, sequential delivery and failure retry mechanisms, with the maximum number of message retries set to three.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention abandons the traditional timed polling mechanism and instead adopts an event-driven real-time inventory synchronization architecture, fundamentally solving the problem of inventory data latency in high-concurrency scenarios. By directly capturing order lifecycle events from the e-commerce platform through an event listening proxy module, the central inventory management system can perceive inventory changes and execute atomic operations within milliseconds, effectively preventing overselling and inflated inventory levels.

[0027] 2. The proactive push mechanism for inventory status update notifications ensures real-time consistency of locally cached data across platforms, significantly improving order fulfillment rates and user trust. Simultaneously, the dynamic resource scheduling strategy automatically adjusts the system's monitoring intensity based on business activity, drastically reducing invalid calls to third-party platform interfaces during low-activity periods. This conserves valuable interface quotas and improves overall system throughput.

[0028] 3. The introduction of a distributed transaction coordinator and optimistic locking mechanism ensures strong consistency and integrity of inventory data in high-concurrency environments, avoiding abnormal states such as negative inventory. The entire system architecture possesses high availability, scalability, and strong fault tolerance, and can stably support the refined inventory collaborative management needs of large-scale e-commerce stores in multi-platform environments. Attached Figure Description

[0029] Figure 1 This is a system architecture diagram of the multi-platform collaborative management method for e-commerce stores proposed in this invention; Figure 2 This is a schematic diagram of the core principle framework of the event-driven real-time inventory synchronization architecture in this invention. Figure 3 This is a logical flow diagram of the order lifecycle event capture and standardized instruction encapsulation in this invention; Figure 4 This is a logical flowchart of the atomized inventory change and state synchronization mechanism in this invention; Figure 5 This is a schematic diagram of the multi-level interaction relationship and data flow between the central inventory management system and various e-commerce platforms in this invention; Figure 6 This is a logical flow diagram of the dynamic resource scheduling strategy based on business activity in this invention. Detailed Implementation

[0030] Please refer to Figures 1 to 6This invention provides a multi-platform collaborative management method for e-commerce stores. Its core lies in constructing an event-driven real-time inventory synchronization architecture to replace the inventory data latency problem caused by traditional timed polling mechanisms in high-concurrency scenarios. The method achieves millisecond-level awareness of cross-platform inventory status, consistent updates, and efficient utilization of system resources by deploying a central inventory management system, configuring event listening proxy modules at the access layer of each e-commerce platform, using distributed message middleware for standardized instruction transmission, executing atomic inventory change operations, proactively pushing inventory status update notifications, and combining dynamic resource scheduling strategies.

[0031] The method first involves deploying a central inventory management system. This system acts as the global inventory control hub, maintaining a unified set of product inventory master data. In this master data structure, each product is assigned a unique inventory identifier to uniquely identify the product entity across multiple platforms. This inventory identifier is independent of the product coding system within each e-commerce platform, ensuring a clear and unambiguous mapping relationship across different platforms. The central inventory management system employs a sharded storage architecture, horizontally partitioned according to product categories. Each partition independently maintains its inventory version number to support concurrent write control under an optimistic locking mechanism. When multiple inventory operation instructions simultaneously initiate change requests for the same product, the system verifies whether the version number of the current inventory record matches the expected version number carried by the instruction. If they match, the change is executed and the version number is incremented; if they do not match, the operation is rejected to prevent inconsistencies in inventory data due to concurrent write conflicts.

[0032] An event listening proxy module is deployed at the access layer of each e-commerce platform. This module establishes an event subscription channel via a long-lived connection through the open application programming interfaces (APIs) provided by each e-commerce platform. This channel employs a persistent session protocol based on a heartbeat keep-alive mechanism to ensure connection validity even during network jitter or brief interruptions, and to continue receiving unlost critical events after recovery. The event listening proxy module continuously monitors order lifecycle events from the corresponding e-commerce platform. These order lifecycle events include order creation events, payment success events, order cancellation events, and refund completion events. These events represent key business nodes where inventory status may change and are the primary driving force triggering inventory synchronization operations.

[0033] Upon capturing any order lifecycle event, the event listening agent module immediately executes a standardized encapsulation process. This process converts the raw event into a uniformly structured inventory operation instruction. This standardized inventory operation instruction contains five core fields: instruction type, product inventory identifier, operation quantity, event unique sequence number, and event timestamp. The instruction type field clearly distinguishes three operation semantics: inventory deduction, inventory rollback, or pre-positioning inventory. The product inventory identifier field is used to associate the target product record in the central inventory management system. The operation quantity field indicates the number of inventory units involved in this operation. The event unique sequence number field is generated by the event source platform, ensuring global uniqueness throughout the entire system lifecycle. It is used to identify and filter duplicate events in the central inventory management system, preventing duplicate processing caused by network retransmissions or message middleware retry mechanisms. The event timestamp field records the exact moment the event occurred on the source platform, used for subsequent timing verification and anomaly analysis.

[0034] The standardized inventory operation instructions, once encapsulated, are pushed to a distributed message middleware. This middleware employs a highly available cluster deployment architecture and features message persistence, sequential delivery, and retry mechanisms. Once a message enters the middleware, it is persistently stored on disk, ensuring recovery even after a system crash. The middleware guarantees that all operation instructions for the same product identifier are delivered to the central inventory management system in the order of their event timestamps, preventing inventory logic errors due to out-of-order processing. For messages that fail to be delivered, the middleware initiates a retry mechanism with a maximum of 3 retries, with retry intervals of 1 second, 3 seconds, and 5 seconds respectively. If all 3 retries fail, the message is moved to a dead-letter queue for manual review and intervention by operations personnel, ensuring no critical events are permanently lost.

[0035] After consuming inventory operation instructions from the distributed message middleware, the central inventory management system executes atomic inventory change operations according to preset inventory operation rules. These rules are defined as follows: for instructions corresponding to payment success events, an inventory deduction operation is performed; for instructions corresponding to order cancellation events and refund completion events, an inventory rollback operation is performed; and for instructions corresponding to order creation events, a pre-allocation of inventory is performed. Before executing any inventory deduction or pre-allocation operation, the system first verifies whether the current available inventory is greater than or equal to the quantity specified in the instruction. If the verification fails, the system discards the instruction and returns an insufficient inventory exception code to the event source platform through a preset exception feedback channel, effectively preventing negative inventory states. All inventory change operations are uniformly managed by a distributed transaction coordinator. Based on a two-phase commit protocol, upon receiving an inventory operation instruction, the coordinator first sends a pre-commit request to all relevant database shards. Only when all shards confirm that the execution conditions are met (e.g., sufficient inventory, matching version numbers) does the coordinator send a formal commit request, completing the persistent update of the inventory data. This mechanism ensures the atomicity of cross-shard inventory operations—either all succeed or all rollback—guaranteeing strong data consistency.

[0036] After completing an inventory change operation, the central inventory management system immediately generates an inventory status update notification. This notification includes the product inventory identifier and the updated available inventory value. The system proactively pushes this notification to all connected e-commerce platforms via a reverse channel. The push operation is completed through asynchronous callback interfaces supported by each e-commerce platform. Each push includes a digital signature generated by the central inventory management system's private key. Upon receiving the notification, each e-commerce platform verifies the signature's validity using its corresponding public key. After confirming the message source is trustworthy, it overwrites its locally cached inventory data. This proactive push mechanism replaces the traditional passive query mode, ensuring that each platform always holds the latest inventory view, fundamentally eliminating overselling or inflated inventory levels caused by data delays.

[0037] During system operation, the business activity monitoring unit continuously and dynamically monitors the business activity indicators of each e-commerce platform. These indicators include order creation rate, payment success rate, and inventory change frequency per unit time. The monitoring period is fixed at 10 seconds. The system sets a preset threshold for low activity as fewer than 5 orders created per minute. If, for three consecutive monitoring periods (i.e., three 10-second intervals), an e-commerce platform's business activity indicators are all below this preset threshold, the system determines that the platform has entered a low-activity mode and triggers the low-activity mode switching process.

[0038] The dynamic resource scheduling unit adjusts the operating parameters of the event listening proxy module based on business activity monitoring results. When business activity exceeds a preset threshold, the system is in high-activity mode, and the event listening proxy module pulls messages at a default interval of 100 milliseconds, using a single-message processing mode to ensure minimal event response latency. When business activity falls below the preset threshold and triggers low-activity mode, the event listening proxy module extends the message pulling interval from 100 milliseconds to 5 seconds and increases the message batch processing threshold from single-message processing to a maximum of 50 messages processed together. In this mode, events accumulated by the proxy module within 5 seconds are pulled in batches and encapsulated into a batch instruction sent to the message middleware. This strategy significantly reduces the number of invalid calls to third-party platform interfaces, effectively conserving valuable interface call quotas, while reducing overall system resource consumption during low-load periods and improving overall throughput efficiency.

[0039] All the above steps constitute a complete closed-loop collaborative management process. From event capture, instruction encapsulation, message transmission, atomic operations, state synchronization to resource scheduling, each link has been meticulously designed to collectively address the core pain points of traditional polling mechanisms in high-concurrency, multi-platform environments. This method not only achieves real-time consistency of inventory data but also optimizes system operating costs and efficiency through intelligent resource scheduling strategies, providing large-scale e-commerce stores with stable, reliable, and efficient multi-platform inventory collaborative management capabilities.

[0040] During the execution of the method, the data flow exhibits strict temporal and causal characteristics. The order lifecycle event serves as the source, triggering the entire chain upon its occurrence. The event listening agent module, as the first processing unit, is responsible for converting heterogeneous platform events into homogeneous instructions. The distributed message middleware, acting as a reliable transmission channel, decouples event production and consumption and provides fault tolerance guarantees. The central inventory management system, as the core decision-making and execution unit, ensures data consistency through its atomic operations. The proactive push of inventory status update notifications completes the closed-loop feedback of information, ensuring the synchronization of states across all participants. The dynamic resource scheduling unit acts as a global observer and regulator, dynamically adjusting the behavior of the front-end agent based on system load to achieve an optimal balance between performance and cost.

[0041] The sourcing and validation of parameters are integrated throughout the entire process. Product inventory identifiers originate from the initial configuration of the central inventory management system, and their mapping to product codes on various platforms is registered during store integration. Operation quantities are directly derived from the product details in order events. Unique event serial numbers are assigned by the e-commerce platform when the event is generated; the central inventory management system uses them only for validation. Inventory version numbers are maintained internally by the central inventory management system and increment automatically after each successful write. Business activity thresholds and monitoring cycles are configurable parameters preset by the system and can be adjusted according to actual business scenarios. All these parameters have clear sources, scopes, and validation mechanisms, ensuring the determinism and reliability of system operation.

[0042] An exception handling mechanism is built into each critical node. At the event listening layer, network interruptions are handled through heartbeat keep-alive and persistent sessions. At the message transmission layer, delivery failures are handled through persistence, sequential delivery, and dead-letter queues. At the inventory operation layer, concurrency conflicts and data inconsistencies are handled through inventory verification, version number optimistic locking, and a distributed transaction coordinator. At the state synchronization layer, message validity is verified through digital signatures. This multi-layered, comprehensive exception handling design endows the system with strong fault tolerance and stability, enabling it to cope with the challenges of complex production environments.

[0043] In summary, this embodiment describes in detail an event-driven multi-platform collaborative management method for e-commerce stores. This method, through a series of tightly coupled and logically rigorous steps, constructs a real-time, consistent, efficient, and adaptive inventory collaborative management system, comprehensively addressing the core shortcomings of existing technologies.

Claims

1. A method for multi-platform collaborative management of e-commerce stores, characterized in that: include: Deploy a central inventory management system, which maintains globally unified master data of commodity inventory and assigns a unique inventory identifier to each commodity; An event listening proxy module is deployed at the access layer of each e-commerce platform. The event listening proxy module subscribes to and captures order lifecycle events from the corresponding e-commerce platform in real time. The order lifecycle events include order creation events, payment success events, order cancellation events, and refund completion events. The order lifecycle events are encapsulated into standardized inventory operation instructions and pushed to the central inventory management system via a distributed message middleware. After receiving the standardized inventory operation instructions, the central inventory management system performs atomic inventory change operations according to preset inventory operation rules. The inventory operation rules include: performing inventory deduction operations for payment success events, performing inventory rollback operations for order cancellation events and refund completion events, and performing pre-positioned inventory operations for order creation events. After completing the inventory change operation, the central inventory management system generates an inventory status update notification and pushes the updated real-time inventory value to all connected e-commerce platforms through a reverse channel to overwrite their local cached inventory data. During system operation, the business activity indicators of each e-commerce platform are dynamically monitored. These business activity indicators include order creation rate, payment success rate, and inventory change frequency per unit time. Based on the business activity index, adjust the message retrieval interval and message batch processing threshold of the event listening agent module. When the business activity is lower than the preset threshold, extend the message retrieval interval and increase the batch processing threshold. When the business activity is higher than the preset threshold, shorten the message retrieval interval and decrease the batch processing threshold.

2. The multi-platform collaborative management method for e-commerce stores according to claim 1, characterized in that, The event listening proxy module establishes an event subscription channel through the open application programming interfaces provided by various e-commerce platforms using a long connection. The event subscription channel adopts a persistent session protocol based on a heartbeat keep-alive mechanism.

3. The multi-platform collaborative management method for e-commerce stores according to claim 2, characterized in that, The standardized inventory operation instructions include an instruction type field, a product inventory identifier field, an operation quantity field, an event unique sequence number field, and an event timestamp field. The instruction type field is used to distinguish between inventory deduction, inventory rollback, or pre-positioned inventory operations, and the event unique sequence number field is used to prevent the same event from being processed repeatedly.

4. The multi-platform collaborative management method for e-commerce stores according to claim 3, characterized in that, The central inventory management system uses a distributed transaction coordinator to achieve the atomicity of inventory change operations. The distributed transaction coordinator is based on a two-phase commit protocol. After receiving the inventory operation instruction, it first sends a pre-commit request to all relevant database shards. After confirming that all shards have the conditions to execute, it then sends a formal commit request to complete the persistent update of the inventory data.

5. The multi-platform collaborative management method for e-commerce stores according to claim 4, characterized in that, The inventory status update notification is pushed through the asynchronous callback interface supported by each e-commerce platform. The push content includes the product inventory identifier and the updated available inventory value, and each push is accompanied by a digital signature to verify the legitimacy of the message source.

6. The multi-platform collaborative management method for e-commerce stores according to claim 5, characterized in that, The monitoring period for the business activity index is 10 seconds. The preset threshold is set to less than 5 orders created per minute. When the business activity index is lower than the preset threshold for 3 consecutive monitoring periods, the low activity mode switching process is triggered.

7. The multi-platform collaborative management method for e-commerce stores according to claim 6, characterized in that, In low-activity mode, the event listener proxy module extends the message fetch interval from the default 100 milliseconds to 5 seconds and increases the message batch processing threshold from processing a single message to merging up to 50 messages.

8. The multi-platform collaborative management method for e-commerce stores according to claim 7, characterized in that, Before executing an inventory deduction operation, the central inventory management system verifies whether the current available inventory is greater than or equal to the operation quantity. If the verification fails, the inventory operation instruction is discarded and an insufficient inventory exception code is returned to the event source platform.

9. The multi-platform collaborative management method for e-commerce stores according to claim 8, characterized in that, The globally unified product inventory master data is stored in a sharded database structure, with horizontal partitioning by product category. Each partition independently maintains its inventory version number, and inventory change operations must carry the version number for optimistic locking verification.

10. The e-commerce store multi-platform collaborative management method according to claim 9, characterized in that, The distributed message middleware adopts a highly available cluster deployment architecture and has message persistence, sequential delivery and failure retry mechanisms. The maximum number of message retries is set to 3, and the retry intervals are 1 second, 3 seconds and 5 seconds respectively. Messages exceeding the retry limit are transferred to the dead letter queue for manual verification.

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