E-commerce inventory whole link real-time monitoring system

Abstract

The application relates to the technical field of e-commerce transaction data processing and inventory monitoring, and discloses an e-commerce inventory full-link real-time monitoring system. The system comprises an inventory event standardization processing unit, a causal event chain generating unit, a dual-state inventory projection unit and an abnormal backtracking positioning unit, converts order creation, inventory locking, payment confirmation, order cancellation, warehouse deduction, return-to-warehouse and channel synchronization into standardized inventory events, and generates an inventory causal event chain according to a logical time sequence identifier and a front event reference. The inventory causal event chain is used to update a transaction commitment state inventory projection and a warehouse physical state inventory projection. The system can correspond inventory deviation to a specific event chain segment, distinguish abnormal sources such as locking without releasing, warehouse confirmation without releasing, return without rewriting, channel reply loss and repeated deduction, and improve the traceability and checkability of inventory monitoring results.

Description

Technical Field

[0001] This invention relates to the field of e-commerce transaction data processing and inventory monitoring technology, and discloses an e-commerce inventory full-link real-time monitoring system. Background Technology

[0002] Real-time monitoring of e-commerce inventory across the entire supply chain typically revolves around data flow between the order system, inventory center, warehouse management system, after-sales system, and channel synchronization system. A common implementation involves the order system sending a lock request to the inventory center when an order is created. The inventory center then deducts the available quantity or adds the locked quantity based on the product, warehouse, and channel dimensions. After payment confirmation, the order status is pushed to the warehouse system, which then reports the deduction results according to picking, verification, and outbound processes. When an order is canceled, payment times out, or an after-sales return occurs, the corresponding system sends release, replenishment, or reverse deduction messages to the inventory center. The channel synchronization system pushes the displayed inventory value to different sales channels based on the available quantity in the inventory center. To accommodate high-concurrency writes, existing systems often use message queues, cached inventory tables, inventory logs, and scheduled reconciliation tasks in combination. The inventory center typically uses product identifiers, warehouse identifiers, and channel identifiers as inventory primary keys, performing sequential consumption, idempotent verification, and quantity updates on received inventory change messages. This type of solution can record changes in inventory quantity and maintain relative consistency of inventory fields within a single system. However, its monitoring objects are mainly discrete fields such as inventory balance, locked quantity, in-stock quantity, and order status. The monitoring results usually depend on the comparison between the current value of the field and fixed rules.

[0003] Existing solutions similar to full-chain e-commerce inventory monitoring involve building unified inventory flow records and anomaly reconciliation rules within an inventory center or data platform. This invention typically writes data such as order creation, successful payment, order cancellation, outbound confirmation, return receipt, exchange holding, and channel inventory receipts into an inventory flow table, then sorts them by business time or message arrival time. After aggregating flows for the same product, warehouse, and channel, statistical results such as available inventory, locked inventory, inventory awaiting shipment, and inventory in transit are generated. To reduce quantity errors caused by duplicate messages, conventional systems generate idempotent keys based on order number, product number, warehouse number, and flow type to filter duplicate flows. To handle message delays, conventional systems set delay windows or compensation tasks to rewrite late messages into the inventory flow table and reconcile them with warehouse inventory, order inventory, and channel inventory at the end of the day or within a fixed period. Anomaly detection typically uses rules such as quantity discrepancies, inconsistent statuses, or timeout receipts. Anomaly records are generated and processed by subsequent workflows only when negative inventory balances, long-term locked inventory, or discrepancies between channel and central inventory are detected. This approach prioritizes logistical integrity and final quantity consistency; anomaly records usually only include the object of the discrepancy, the quantity of the discrepancy, and the anomaly type, lacking an explanation of the relationship between inventory changes before and after the changes.

[0004] The lack of a unified state path to express the sequential relationships between multiple asynchronous events in the entire inventory chain means that a calculable correspondence cannot be formed between inventory quantity deviations and the state transition nodes that trigger these deviations. Order creation, inventory locking, payment confirmation, order cancellation, outbound deduction, return receipt, and channel synchronization originate from different systems, and the order in which messages arrive may not match the order in which business transactions occur. Duplicate callbacks, late messages, and missing receipts in some links can also change the intermediate states of inventory fields. While regular inventory logs record event occurrences, they are primarily sorted by time and aggregated by quantity, making it impossible to distinguish whether a particular inventory difference is caused by an unreleased lock, unconfirmed outbound, unrecorded return, missing channel receipt, or duplicate deduction. Periodic reconciliation can detect the final quantity discrepancies but cannot pinpoint the source of the deviation during the discrepancy process; a single inventory balance or locked quantity also cannot reflect the separation between the transaction commitment state and the physical state of the stored goods. Therefore, in e-commerce scenarios with high concurrency and asynchronous collaboration of multiple systems, inventory monitoring tends to remain at the level of result differences, making it difficult to attribute deviations to specific event chains and specific state transition nodes, thus affecting the interpretability and verifiability of real-time monitoring results. Summary of the Invention

[0005] The purpose of this invention is to provide a real-time monitoring system for the entire e-commerce inventory chain, which can effectively solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: The e-commerce inventory full-link real-time monitoring system includes an inventory event standardization processing unit, a causal event chain generation unit, a dual-state inventory projection unit, and an anomaly backtracking and location unit; The standardized inventory event processing unit converts order creation, inventory locking, payment confirmation, order cancellation, outbound deduction, return and warehousing, and channel synchronization into standardized inventory events. The causal event chain generation unit generates an inventory causal event chain based on the logical sequence identifier and preceding event reference in the standardized inventory events. The dual-state inventory projection unit updates the transaction commitment state inventory projection and the warehouse physical state inventory projection based on the inventory causal event chain, respectively. When a deviation occurs between the two types of inventory projections, the anomaly backtracking and locating unit determines the state transition node that caused the deviation along the inventory causal event chain.

[0007] Preferably, the standardized inventory event includes product identifier, warehouse identifier, channel identifier, inventory change type, business status source, logical sequence identifier, preceding event reference, inventory impact direction, and event generation source; The standardized inventory event processing unit expresses order-side events, warehousing-side events, after-sales-side events, and channel-side events isomorphically according to the mapping relationship between the source of business status and the direction of inventory impact. It also writes multiple standardized inventory events with related preceding event references under the same product identifier, warehouse identifier, and channel identifier into the same event aggregation sequence.

[0008] Preferably, the causal event chain generation unit includes event succession relationship generation processing and event break marking processing; The event succession relationship generation process searches for upstream inventory events based on the reference of preceding events, and writes the event relationships from order creation to inventory locking, inventory locking to payment confirmation or order cancellation, payment confirmation to outbound deduction, and outbound deduction to return to warehouse into the directed link; The event break marking process writes a causal break mark for the corresponding link when no upstream inventory event is found, the same upstream inventory event is referenced by multiple mutually exclusive downstream events, or the downstream event enters the streaming window earlier than the upstream event.

[0009] Preferably, the dual-state inventory projection unit includes transaction commitment state projection processing and warehouse physical state projection processing; The transaction commitment projection processing updates the available commitment quantity, locked commitment quantity, and release pending confirmation quantity based on inventory lock, payment pending confirmation, order cancellation release, and channel occupation events. The physical projection processing of the warehouse updates the available quantity, the occupied quantity, and the physical replenishment quantity in the warehouse based on picking occupation, outbound deduction, return and return, and exchange occupation events. Both types of projections use product identifiers, warehouse identifiers, and channel identifiers to form corresponding projection keys.

[0010] Preferably, the inventory event standardization processing unit further includes duplicate event merging processing; The duplicate event merging process generates event fingerprints based on product identifier, warehouse identifier, channel identifier, business status source, preceding event reference, and inventory impact direction, and merges multiple standardized inventory events with the same event fingerprint and the same inventory change type into a single valid inventory event. When event fingerprints are consistent but inventory change types are mutually exclusive, bind the mutually exclusive events to the original event aggregation sequence and write a backtracking flag for the mutually exclusive events.

[0011] Preferably, the causal event chain generation unit further includes event water level window processing; The event level window processing maintains the link level according to product identifier, warehouse identifier and channel identifier respectively, and retains inventory lock events, payment confirmation events, outbound deduction events and return-to-warehouse events that have not yet been referenced by downstream entities within the streaming window; For inventory events that exceed the link level but have not yet formed the expected downstream event, the corresponding inventory event is attached to the set of suspended nodes in the inventory causal event chain, and the expected state transition type corresponding to the suspended node is recorded.

[0012] Preferably, the dual-state inventory projection unit further includes projection version association processing; The projection version association process records the standardized inventory event that triggered the update, the projection value before the update, the projection value after the update, and the projection version number each time the transaction commitment state inventory projection or the warehouse physical state inventory projection is updated, and writes the projection version number into the corresponding state transition node in the inventory causal event chain. When the same state transition node corresponds to multiple projection version numbers, a projection version sequence is formed according to the logical timing identifier.

[0013] Preferably, the anomaly backtracking and localization unit includes projection deviation attribution processing; When the projection deviation attribution process generates a difference between the transaction commitment state inventory projection and the warehouse physical state inventory projection for the same projection key, it reads the projection version sequence that forms the difference and finds the nearest common preceding event node in the inventory causal event chain. Starting from the common pre-event node, read the state transition node along the transaction commitment state branch and the warehouse physical state branch respectively, and generate abnormal attribution flags for locked but not released, outbound not confirmed, returned goods not written back, missing channel receipts or duplicate deductions.

[0014] Preferably, the event water level window processing further includes late event chain compensation processing; The late event chain completion process, when a late inventory event arrives, searches for a set of dangling nodes based on the preceding event reference, logical sequence identifier, and event fingerprint of the late inventory event, and inserts the matching late inventory event into the missing segment of the corresponding inventory causal event chain. If a late inventory event has been referenced by an event after the projected version sequence, the link order between the late inventory event and the subsequent state transition node is regenerated, and the affected projected version number is written to the recalculation queue.

[0015] Preferably, the anomaly backtracking and localization unit further includes a minimum link repair set generation process; The minimum link repair set generation process is based on the common preceding event nodes in the anomaly attribution tag, projection version sequence and inventory causal event chain, and filters state transition nodes that have the same preceding event reference as the projection deviation and are under the same projection key. The selected state transition nodes are arranged into repair candidate chains according to their logical timing identifiers. Nodes that have not changed the projection version value are removed from the repair candidate chains, forming a repair set that includes abnormal events, affected projection version numbers, and corresponding channel synchronization records.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By adopting a technical solution combining standardized inventory event processing, causal event chain generation, dual-state inventory projection, and anomaly backtracking, the inventory monitoring object is expanded from a single inventory field to a state transition process with hierarchical relationships. Order creation, inventory locking, payment confirmation, order cancellation, outbound deduction, return to warehouse, and channel synchronization are converted into standardized inventory events containing product identifiers, warehouse identifiers, channel identifiers, inventory change types, business status sources, logical sequence identifiers, preceding event references, and inventory impact directions. Inventory changes generated by heterogeneous systems can enter the same event aggregation sequence. Logical sequence identifiers and preceding event references jointly generate an inventory causal event chain, making the state transitions from inventory locking to payment confirmation or order cancellation, from payment confirmation to outbound deduction, and from outbound deduction to return to warehouse traceable link positions. The transaction commitment state inventory projection records the sellable commitment quantity, locked commitment quantity, and released pending confirmation quantity, while the warehouse physical state inventory projection records the warehouse available quantity, warehouse occupied quantity, and physical replenishment quantity. The two projections are associated with the same inventory causal event chain using the same projection key. When two types of projections produce a difference, anomaly backtracking can read the projection version sequence and find common preceding event nodes, then determine the anomaly attribution marker along the transaction commitment state branch and the warehouse physical state branch. Thus, inventory deviations are no longer limited to balance differences or state differences, but are confined to specific state transition nodes and corresponding event chain segments. Standardized events provide a unified data foundation, causal event chains provide state continuity relationships, dual-state inventory projection provides the basis for state separation of deviation sources, and anomaly backtracking provides a mapping path from deviation to link nodes. These four elements work together to solve the problem of real-time link location difficulties caused by the lack of a unified state path for asynchronous events. Under the projection key corresponding to the same product, warehouse, and channel, changes in transaction-side commitments and changes in warehouse physical quantities are calculated separately and backtracked uniformly. This distinguishes between commitment occupancy that has not yet resulted in physical deductions and physical changes that have altered the quantity in the warehouse, giving inventory deviations a clear state source.

[0017] 2. In addition to the aforementioned main link location capabilities, standardized event aggregation, duplicate event merging, event level windows, late event link replenishment, projection version association, and minimum link repair set generation can constrain the intermediate data status during inventory monitoring. Duplicate event aggregation generates event fingerprints using product identifiers, warehouse identifiers, channel identifiers, business status sources, preceding event references, and inventory impact direction. This merges duplicate messages of the same inventory change type into a single inventory event and binds mutually exclusive events to the original event aggregation sequence, reducing the disturbance of projected values ​​caused by duplicate callbacks. The event level window maintains link levels according to product, warehouse, and channel, forming a set of suspended nodes for inventory locks, payment confirmations, outbound deductions, and return inbound events that have not yet received downstream references. When a late event arrives, it can insert missing chain segments based on preceding event references, logical sequence identifiers, and event fingerprints, and write the affected projection version to the recalculation queue. The projection version association records the standardized inventory event that triggered the update, the projection value before the update, the projection value after the update, and the projection version number, ensuring that each change in inventory projection corresponds to a state transition node in the event chain. The minimum link repair set is generated by filtering relevant state transition nodes under the same projection key based on anomaly attribution tags, projection version sequences, and common preceding event nodes, and removing nodes whose projection version values ​​have not changed. This results in a repair set containing the anomalous event, the affected projection version, and channel synchronization records. This process incorporates duplicate messages, late messages, causal breaks, and projection recalculation into the same link framework, avoiding expanding the scope of anomaly handling solely based on quantity differences. For late events that have already been referenced by subsequent events, the recalculation queue limits the projection versions that need to be recalculated; for nodes whose projection version values ​​have not changed, the repair set is no longer included in the processing scope, thus ensuring that inventory monitoring results remain recalculated, verifiable, and traceable even under complex message states. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating the overall processing flow of the e-commerce inventory end-to-end real-time monitoring system of the present invention. Figure 2 This is a flowchart for generating the inventory anomaly attribution, late replenishment, and minimum link repair set of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please refer to Figure 1This embodiment provides an e-commerce inventory end-to-end real-time monitoring system, including an inventory event standardization processing unit, a causal event chain generation unit, a dual-state inventory projection unit, and an anomaly backtracking and location unit. The inventory event standardization processing unit receives inventory change data generated from order creation, inventory locking, payment confirmation, order cancellation, outbound deduction, returns, and channel synchronization, and converts data from different sources into standardized inventory events. The causal event chain generation unit generates an inventory causal event chain based on the logical sequence identifiers and preceding event references in the standardized inventory events. The dual-state inventory projection unit updates the transaction commitment state inventory projection and the warehouse physical state inventory projection based on the inventory causal event chain. When a deviation occurs between the two types of inventory projections, the anomaly backtracking and location unit determines the state transition node causing the deviation along the inventory causal event chain. This embodiment separates the commitment status on the transaction side and the physical status on the warehouse side into separate models. This ensures that order-side inventory holding, payment confirmation, cancellation release, warehouse outbound, return replenishment, and channel inventory receipts all fall into the same computable causal link. Inventory monitoring no longer relies on isolated balance fields, but instead uses event succession relationships, state projection changes, and deviation backtracking nodes to form a closed-loop processing flow. This allows for direct location of specific state transition stages when inventory balance discrepancies occur. The advantages of this embodiment are that it uses standardized events as a unified data foundation, causal event chains as state succession carriers, dual-state inventory projection as deviation judgment objects, and anomaly backtracking location as a link attribution method. Each part has direct data dependencies and processing order, which can cover the real-time inventory monitoring needs under conditions of high-concurrency orders, asynchronous messages, and multi-channel synchronization.

[0021] In this embodiment, the inventory event standardization processing unit does not directly write the original business fields into the inventory monitoring master table. Instead, it establishes a unified event structure for the data input from each source system. Order creation data is interpreted as the starting point of a transaction commitment; inventory lock data is interpreted as the state transition from available commitment to locked commitment; payment confirmation data is interpreted as the condition for the transaction commitment to fulfillment commitment; order cancellation data is interpreted as the reverse transition from locked commitment to released pending confirmation; outbound deduction data is interpreted as the transition from available or occupied quantity in the warehouse to physical deduction status; returned goods inbound data is interpreted as an increase in physical replenishment quantity; and channel synchronization data is... This is interpreted as an external projection of the central inventory status onto the channel's display status. In specific processing, the inventory event standardization processing unit reads the product identifier, warehouse identifier, channel identifier, business status source, inventory change type, inventory impact direction, logical timing identifier, and preceding event reference. It marks order creation events lacking preceding event references as starting events and temporarily stores data with preceding event references but without corresponding upstream events as events to be completed in the link. The advantage of this embodiment is that it transforms inventory changes from the order system, warehousing system, after-sales system, and channel synchronization system into a consistent data expression, providing stable input for subsequent link generation and projection calculation.

[0022] In this embodiment, the causal event chain generation unit uses the same product identifier, warehouse identifier, and channel identifier as the basic aggregation scope. Within this scope, it organizes the inventory causal event chain according to logical sequence identifiers and preceding event references. The logical sequence identifier is used to express the sequential position of inventory events in the same business link, and the preceding event reference is used to express the previous state transition that the current event depends on. If an inventory lock event references an order creation event, then the inventory lock event is considered a downstream node of the order creation event. If a payment confirmation event references an inventory lock event, then the payment confirmation event is considered a downstream node of the inventory lock event. If an outbound deduction event references a payment... If a confirmation event is received, the outbound deduction event will be used as the downstream node of the payment confirmation event. If an order cancellation event references an inventory lock event, the order cancellation event will be used as the mutually exclusive downstream node of the inventory lock event. The causal event chain generation unit records event nodes, receiving edges, mutually exclusive edges, and missing edges in the chain. Receiving edges indicate that the state is progressing normally. Mutually exclusive edges indicate that the same upstream event can only terminate in one downstream result. Missing edges indicate that the downstream event has arrived but the upstream event has not yet entered the streaming window. The advantage of this embodiment is that it saves the upstream and downstream dependencies of inventory state changes through a chain structure, so that inventory deviations can be traced back from the projection difference to the specific chain segment.

[0023] In this embodiment, the dual-state inventory projection unit generates a transaction commitment state inventory projection and a warehouse physical state inventory projection for the same inventory causal event chain. The transaction commitment state inventory projection records the impact of the order transaction process on the committable inventory quantity, specifically including the sellable commitment quantity, the locked commitment quantity, and the release pending confirmation quantity. The warehouse physical state inventory projection records the impact of the warehousing process on the physical inventory quantity, specifically including the available quantity in the warehouse, the occupied quantity in the warehouse, and the physical replenishment quantity. When the inventory locking event arrives, the sellable commitment quantity in the transaction commitment state inventory projection decreases and the locked commitment quantity increases. The warehouse physical state inventory projection does not directly deduct the physical quantity in the warehouse due to this event. When the payment confirmation event arrives, the transaction commitment state inventory projection... The inventory projection maintains a locked commitment state and is associated with the fulfillment relationship. When a picking or outbound deduction event occurs, the warehouse occupancy or available quantity in the physical inventory projection changes. When an order cancellation event occurs, the locked commitment quantity in the transaction commitment inventory projection is migrated to the release pending confirmation quantity or the restored sellable commitment quantity. When a return and warehousing event occurs, the physical replenishment quantity in the physical inventory projection increases. Both projections form projection keys with product identifier, warehouse identifier, and channel identifier. The advantage of this embodiment is that it separates transaction commitments and physical inventory into two synchronously updated but different inventory status surfaces, avoiding the deviation of unknown source caused by mixing locked inventory, outbound, and replenishment into a single balance field.

[0024] In this embodiment, the anomaly backtracking and localization unit performs a key comparison between the transaction commitment state inventory projection and the warehouse physical state inventory projection. A key refers to the consistency of the product identifier, warehouse identifier, and channel identifier. If the quantity difference between the two types of projections under the same projection key does not conform to the allowed succession relationship of the current link state, then the unit reads the nearest common preceding event node in the inventory causal event chain and reads the state transition nodes downwards along the transaction commitment state branch and the warehouse physical state branch respectively. If the transaction commitment state branch has an inventory lock event but no order cancellation release or payment confirmation succession event, then an anomaly attribution flag indicating that the lock has not been released is generated. If the transaction commitment state branch... If payment confirmation has been completed but the physical warehouse branch has not formed an outbound deduction node, an abnormal attribution flag of unconfirmed outbound is generated. If the physical warehouse branch has a return confirmation source but no return inbound node, an abnormal attribution flag of unwritten return is generated. If the channel synchronization node lacks a downstream node with channel receipt, an abnormal attribution flag of missing channel receipt is generated. If the same preceding event triggers multiple deduction nodes in the same direction, an abnormal attribution flag of duplicate deduction is generated. The advantage of this embodiment is that it maps the projection deviation to a searchable link node difference, and inventory anomalies can be limited to specific events, specific chain segments, and specific state transition types.

[0025] In a preferred embodiment, the standardized inventory event includes a product identifier, warehouse identifier, channel identifier, inventory change type, business status source, logical sequence identifier, preceding event reference, inventory impact direction, and event generation source. The inventory event standardization processing unit, according to the mapping relationship between business status source and inventory impact direction, performs isomorphic representation of order-side events, warehousing-side events, after-sales-side events, and channel-side events. Multiple standardized inventory events with associated preceding event references under the same product identifier, warehouse identifier, and channel identifier are written into the same event aggregation sequence. Specifically, the business status source indicates that the inventory event originates from order processing, payment processing, warehousing processing, after-sales processing, or channel synchronization processing; the inventory impact direction indicates the event's impact on commitments. The direction of increase, decrease, occupation, release, or replenishment of inventory or physical inventory, and the event generation source are used to distinguish main business events, compensation events, receipt events, and replay events. The inventory event standardization processing unit converts the source fields into unified fields according to a preset mapping table. If the order system provides order number, product number, and locked quantity, they are respectively mapped to the associated object of the preceding event reference, product identifier, and occupation quantity corresponding to the direction of inventory impact. If the warehousing system provides outbound order number, warehouse number, and outbound confirmation status, they are respectively mapped to the event generation source, warehouse identifier, and physical deduction direction. The advantage of this embodiment is that the standardized inventory events retain the necessary fields for link acceptance, projection update, and anomaly attribution, avoiding the inability to merge links due to differences in field names between different systems.

[0026] Table 1 is a standardized inventory event field mapping table. Table 1 lists the meaning of fields and processing methods when events from different sources are written into a unified event structure.

[0027] Table 1 Standardized Inventory Event Field Mapping Table

[0028] In this embodiment, the mapping relationship between the source of business status and the direction of inventory impact is implemented through event interpretation rules. These rules do not use the source system name as the sole criterion, but instead simultaneously read the source of business status, the type of inventory change, and the reference to preceding events. For example, when an order creation event on the order side has a related preceding event reference to an inventory lock event, the direction of inventory impact is interpreted as committed occupancy; when an order cancellation event on the order side references an inventory lock event, the direction of inventory impact is interpreted as committed release; when a warehouse outbound confirmation event references a payment confirmation event, the direction of inventory impact is interpreted as physical deduction; and so on for the after-sales side... When a return receipt event references an outbound deduction event, the direction of inventory impact is interpreted as physical replenishment. When a channel-side inventory synchronization receipt event references an inventory push event, the direction of inventory impact is interpreted as channel status confirmation. The event aggregation sequence is maintained according to the projection key. Multiple standardized inventory events that have the same product identifier, warehouse identifier, and channel identifier and whose preceding event references can be connected are all written into the same aggregation sequence. Events that cannot be connected first enter the candidate sequence and wait for chain completion processing. The advantage of this embodiment is that event aggregation is not simply stacked according to time, but ensures that the status changes of the same inventory object are continuously readable based on business continuity relationships.

[0029] In a preferred embodiment, the causal event chain generation unit includes an event succession relationship generation process and an event break marking process. The event succession relationship generation process searches for upstream inventory events based on preceding event references and writes the event relationships from order creation to inventory locking, inventory locking to payment confirmation or order cancellation, payment confirmation to outbound deduction, and outbound deduction to return to inventory into a directed chain. The event break marking process writes a causal break mark for the corresponding chain when no upstream inventory event is found, the same upstream inventory event is referenced by multiple mutually exclusive downstream events, or a downstream event enters the streaming window earlier than the upstream event. Specifically, the nodes in the directed chain are standardized inventory. In a directed link, the edges are the succession relationships formed by referencing preceding events. Mutually exclusive downstream events refer to state termination relationships that cannot coexist, such as payment confirmation and order cancellation referencing the same inventory lock event, or physical deduction and release events referencing the same payment confirmation event. When a downstream event enters the streaming window earlier than an upstream event, the causal event chain generation unit retains the logical timing identifier of the downstream event and establishes a temporary gap. After the subsequent upstream event arrives, the chain segment is filled in according to the reference of the preceding event. The advantage of this embodiment is that event breaks can enter the link in the form of a mark, rather than being discarded or directly corrected. Subsequent anomaly backtracking can identify the relationship between the break position and the projection deviation.

[0030] In this embodiment, the inventory causal event chain can be stored in the form of a directed acyclic linked list or an adjacency list. Each node records the event identifier, projection key, logical sequence identifier, preceding event reference, inventory influence direction, and node state. Each edge records the upstream event identifier, downstream event identifier, edge type, and break marker. Edge types include receiving edges, mutually exclusive edges, supplementary chain edges, and receipt edges. Receiving edges are used for normal business processes such as order creation to inventory locking, inventory locking to payment confirmation, payment confirmation to outbound deduction, and outbound deduction to return to inventory. Mutually exclusive edges are used for mutual exclusion between inventory locking to payment confirmation and inventory locking to order cancellation. Supplementary chain edges are used to restore the continuity of the link after a late event is inserted. Receipt edges are used for the association between channel inventory push and channel receipt. The event break marker is written to the edge instead of a separate exception table, so that the break state can be read during projection update, exception attribution, and repair set generation. The advantage of this embodiment is that the link data structure is compatible with normal progress, mutually exclusive termination, late chain supplementation, and channel receipt, and can support various subsequent exception attributions.

[0031] In this embodiment, link connectivity score can be used to match candidate upstream events. This matching is not intended to replace preceding event references, but rather to provide a deterministic selection criterion when preceding event references are missing or when multiple candidate upstream events exist. The calculation formula is as follows: ; in, Indicates candidate downstream events With candidate upstream events Link connectivity score between them and These represent the projection keys for the two events, Indicates the upstream event identifier. This indicates a reference to a preceding event in a downstream event. and These represent the logical sequence identifiers for the two events. Indicates the direction of inventory impact and Business compatibility between them , , , These are non-negative weights used to control the proportion of each item in the acceptance score. Physically, they combine projection key consistency, before-reference consistency, temporal proximity, and directional compatibility into the acceptability of candidate links. For example, when two events have the same projection key... When the preceding event reference of a downstream event is exactly equal to the upstream event identifier. If the logical timing identifiers differ by 2, then the time item is taken as 1 / 3. If the compatibility of inventory lock towards payment confirmation is 1, then in , , , When This indicates that the candidate link can be written into the inventory causal event chain as a receiving edge. The advantage of this embodiment is that when the preceding event reference is abnormal, an auditable candidate receiving result can still be formed based on a unified calculation caliber.

[0032] In a preferred embodiment, the dual-state inventory projection unit includes transaction commitment state projection processing and warehouse physical state projection processing. The transaction commitment state projection processing updates the available sales commitment quantity, locked commitment quantity, and released pending confirmation quantity based on inventory lock, payment pending confirmation, order cancellation release, and channel occupation events. The warehouse physical state projection processing updates the available quantity in the warehouse, warehouse occupied quantity, and physical replenishment quantity based on picking occupation, outbound deduction, return to warehouse, and exchange occupation events. Both types of projection use product identifier, warehouse identifier, and channel identifier to form corresponding projection keys. Specifically, the transaction commitment state projection processing only processes events affecting the transaction commitment quantity, while the warehouse physical state projection processing only processes events affecting the transaction commitment quantity. The system handles events that affect the quantity of physical inventory, but both refer to the node identifiers in the same inventory causal event chain. Inventory lock events reduce the available sales commitment and increase the locked commitment; order cancellation release events reduce the locked commitment and increase the release pending confirmation; payment confirmation events bind the locked commitment to the subsequent fulfillment relationship; picking occupation events reduce the available quantity in the warehouse and increase the warehouse occupation; outbound deduction events reduce the warehouse occupation or available quantity in the warehouse; and return and warehousing events increase the physical replenishment quantity. The advantage of this embodiment is that the transaction side and the warehouse side project different meanings of inventory under the same chain, which makes it easy to identify the offset between the commitment status and the physical status.

[0033] In this embodiment, the update of the dual-state inventory projection is executed in an event-driven manner. The projection value is not a static statistical value obtained by periodic aggregation, but rather an incremental calculation result triggered after each standardized inventory event enters the chain. Let the transaction commitment state vector after the nth event under the same projection key be . The physical state vector of the warehouse is The updated formula is as follows: , ; in, Indicates the promised sales volume Locking in the committed amount and release of unconfirmed quantities The transaction commitment state vector is composed of Indicates the available quantity in the warehouse Warehouse occupancy and physical replenishment volume The physical state vector of the warehouse is composed of Indicates an event The increment of the transaction commitment state vector, Indicates an event For the increment of the physical quantity vector in the warehouse, if the number of inventory locking events is 5, then we can take... and If the number of outbound deduction events is 5, then it can be taken as... and The physical meaning is that the same event only generates an increment on its corresponding state surface, and the increment of the unaffected state surface is 0. The advantage of this embodiment is that the input, output and increment direction of the projection calculation are clear, which can support projection version association and deviation backtracking.

[0034] In this embodiment, the dual-state inventory projection unit also saves the current link position of each projection key. Both the transaction commitment projection and the warehouse physical projection record the standardized inventory event identifier that participated in the last update. When the transaction commitment projection has been updated to the payment confirmation node while the warehouse physical projection is still in the warehouse available state before payment confirmation, the anomaly backtracking and positioning unit will not directly determine the quantity error, but will continue to read whether there are expected downstream nodes for picking occupation or outbound deduction in the inventory causal event chain. If no corresponding node has appeared within the link level, the difference will be retained as a pending acceptance state. If no corresponding node has appeared after exceeding the link level, the anomaly attribution processing will be entered. The release of pending confirmation quantity will also be processed in the same way. If the order cancellation release event has entered the transaction commitment projection but the channel synchronization receipt has not yet entered the receipt edge, the system will retain the corresponding state in the channel pending confirmation branch. The advantage of this embodiment is that the judgment of the projection difference is combined with the link position and the state acceptance relationship, which reduces the situation of mistaking normal asynchronous delay as an anomaly.

[0035] In a preferred embodiment, the inventory event standardization processing unit further includes duplicate event merging processing. This duplicate event merging processing generates event fingerprints based on product identifier, warehouse identifier, channel identifier, business status source, preceding event reference, and inventory impact direction. Multiple standardized inventory events with identical event fingerprints and the same inventory change type are merged into a single valid inventory event. When event fingerprints are identical but inventory change types are mutually exclusive, the mutually exclusive events are bound to the original event set sequence, and a backtracking marker is written to the mutually exclusive events. Specifically, the event fingerprint is used to identify duplicate inventory events generated by multiple source systems due to retries, compensation, callbacks, or message replays. The fingerprint field does not include the message arrival time to avoid misidentification as different events when the same business event arrives multiple times. Consistent event fingerprints and the same inventory change type indicate that the event is semantically duplicated in inventory. During merging, the event node that first enters the inventory causal event chain is retained, and the remaining events are written to the duplicate source set. Consistent event fingerprints but mutually exclusive inventory change types indicate that the same preceding event triggers incompatible state transitions simultaneously, such as the same inventory lock event simultaneously generating payment confirmation and order cancellation release. The advantage of this embodiment is that duplicate messages will not repeatedly change the projection value, and mutually exclusive messages will not be simply overwritten.

[0036] In this embodiment, the event fingerprint can be generated by concatenating and hashing fields after field normalization. Field normalization includes removing source system-specific prefixes, unifying the encoding format of product identifiers and warehouse identifiers, converting channel identifiers to central-side channel codes, and converting the inventory impact direction to one of the following: occupy, release, deduction, replenishment, or confirmation. When generating the event fingerprint, the product identifier, warehouse identifier, channel identifier, business status source, preceding event reference, and inventory impact direction are combined in a fixed field order. If the inventory change types are the same, they are merged into a single valid inventory event, and the number of repetitions, the source of repetition, and the arrival order are retained. If the inventory change types are mutually exclusive, they are not merged into valid events. Instead, the mutually exclusive events are attached to the same preceding event reference in the original event aggregation sequence and marked as pending backtracking. The pending backtracking mark includes the mutually exclusive source, the mutually exclusive type, and the corresponding projection key. The advantage of this embodiment is that it distinguishes between duplicate writes and state conflicts through event fingerprints and mutually exclusive marks, avoiding duplicate merging from masking the real link conflict.

[0037] In a preferred embodiment, the causal event chain generation unit further includes event water level window processing. This processing maintains the link water level according to product identifier, warehouse identifier, and channel identifier, and retains inventory lock events, payment confirmation events, outbound deduction events, and return-to-warehouse events that have not yet received downstream references within the streaming window. For inventory events that exceed the link water level but have not yet generated the expected downstream event, the corresponding inventory event is attached to the set of suspended nodes in the inventory causal event chain, and the expected state transition type corresponding to the suspended node is recorded. Specifically, the link water level is determined by the logical sequence of events processed under the same projection key. The sequence number and the maximum allowable out-of-order range are jointly determined to identify late events, missing events, and unfinished events. The expected state transition types for inventory lock events include payment confirmation or order cancellation release. The expected state transition types for payment confirmation events include picking occupation or outbound deduction. The expected state transition types for outbound deduction events include channel deduction confirmation or after-sales return start point. The expected state transition types for return and warehousing events include physical replenishment confirmation or channel sellable write-back. The advantage of this embodiment is that events that have not yet been terminated are saved within the link, and subsequent late events and anomaly attributions can share the same set of suspended nodes.

[0038] In this embodiment, the event level window is maintained by partitioning according to the projection key. The link levels corresponding to different products, warehouses and channels do not overlap with each other, avoiding the premature judgment of late events of low-frequency products as missing due to the advancement of the event flow of a certain high-frequency product. When the link level advances, the causal event chain generation unit reads the largest logical sequence identifier of the established succession relationship in the current partition and decides whether to advance based on the dangling nodes that have not yet closed. If a certain inventory lock event enters the window and fails to obtain payment confirmation or order cancellation to release downstream references, it will enter the dangling node set after the level crosses its expected termination position. The dangling node set does not directly change the transaction commitment state inventory projection or the warehouse physical state inventory projection, but records the event identifier, expected state transition type, link level entering the dangling set and the original projection version number. The advantage of this embodiment is that the level window handles late waiting, missing mark and subsequent chain supplementation in a unified manner within the projection key range, reducing erroneous associations across inventory objects.

[0039] In this embodiment, the determination of the suspended node can be achieved using the water level difference function, and the calculation formula is as follows: ; in, Indicates an event Whether to enter the set of dangling nodes, with a value of 1 indicating entry into the set and a value of 0 indicating non-entry. Indicates projection key The corresponding current link water level, Indicates an event Logical timing identifier, Indicates the range of allowed out-of-order sequences. Indicates an event Whether the expected downstream reference has been obtained is set to 1 if it has been obtained and 0 if it has not. Physically, a dangling node is only generated when the link level has already passed the event's logical position and the event still has not obtained the expected downstream reference. For example, the current link level under a certain projection key... A certain inventory lock event logic timing identifier Allowed out-of-order range And downstream reference tags are expected. ,but ,get The inventory lock event enters the suspend node set and records the expected state transition type. The advantage of this embodiment is that the suspend judgment has verifiable calculation conditions, which is convenient for chain replenishment and attribution.

[0040] In a preferred embodiment, the dual-state inventory projection unit further includes projection version association processing. This process records the standardized inventory event that triggered the update, the projection value before the update, the projection value after the update, and the projection version number each time the transaction commitment state inventory projection or the warehouse physical state inventory projection is updated. The projection version number is then written into the corresponding state transition node in the inventory causal event chain. When the same state transition node corresponds to multiple projection version numbers, a projection version sequence is formed according to the logical timing identifier. Specifically, the projection version number increments independently with the projection key. Transaction commitment state inventory projection and warehouse physical state inventory projection can share the same version record table but are distinguished by a state plane identifier. The projection value before the update and the projection value after the update are stored in vector form. After the standardized inventory event identifier that triggered the update is written into the version record, it is then written back to the node attribute in the inventory causal event chain. If a late event chain triggers subsequent projection recalculation, the same state transition node will generate multiple projection version numbers. The projection version sequence is used to represent the projection change history of the node under different link sequences. The advantage of this embodiment is that each change in inventory projection has a corresponding event and link node, and the difference formation process can be read during anomaly backtracking.

[0041] Table 2 is the projection version association record table, which lists the unified storage fields of projection version records in the transaction commitment state and the physical state of the warehouse.

[0042] Table 2 Projection Version Association Record Table

[0043] In this embodiment, the projection version association processing performs a pre-write check during each event-driven update. If the standardized inventory event is not merged into a single valid inventory event or is still in a pending backtracking mutual exclusion state, a formal projection version number is not directly generated. Instead, a candidate version record is generated. The candidate version record only saves the projection value before the update, the expected projection value after the update, and the trigger event identifier. After the mutual exclusion state is confirmed by the abnormal backtracking and positioning unit, it is decided whether to convert it into a formal projection version number. If the standardized inventory event is a late event and needs to be inserted into an existing chain segment, the projection version association processing first rearranges the affected nodes according to the logical order after chain supplementation, and then recalculates sequentially starting from the earliest affected projection version number. The recalculated version record retains the reference relationship of the original projection version number to avoid overwriting historical records. The advantage of this embodiment is that the projection version record can reflect three types of states: normal write, candidate write, and chain supplementation recalculation, ensuring that intermediate changes are not lost during backtracking and positioning.

[0044] In a preferred embodiment, reference Figure 2 The anomaly backtracking and localization unit includes projection deviation attribution processing. When the projection deviation attribution processing results in a difference between the transaction commitment state inventory projection and the warehouse physical state inventory projection for the same projection key, it reads the projection version sequence that forms the difference and searches for the nearest common preceding event node in the inventory causal event chain. Starting from the common preceding event node, it reads the state transition nodes along the transaction commitment state branch and the warehouse physical state branch respectively, generating anomaly attribution flags for locked items not released, outbound items not confirmed, returned items not written back, missing channel receipts, or duplicate deductions. Specifically, the common preceding event node refers to the transaction commitment state... Before the deviation occurs, the nearest node that was referenced by both the branch and the physical branch of the warehouse and has the same status is searched. The trigger event identifier is traced back from the two projection version numbers that formed the difference, and the reference of the preceding event is read up along the inventory causal event chain until the same event identifier is found. The abnormal attribution mark is not directly determined by a single quantity difference, but is jointly determined by the branch node type, mutual exclusion relationship, break mark, hanging node status and duplicate event merging status after the common preceding event node. The advantage of this embodiment is that the deviation attribution process takes into account both the projection difference and the link structure, and can eliminate transient differences that are still in the normal acceptance process.

[0045] In this embodiment, the generation of anomaly attribution tags is performed by combining rule matrix and link node reading. The rule matrix takes the transaction commitment branch node, warehouse physical branch node, channel receipt node, mutual exclusion tag, and hanging node status as input. If the transaction commitment branch has an inventory lock node and its expected downstream is payment confirmation or order cancellation release but neither has entered the link, then the lock not released tag is output. If the transaction commitment branch has a payment confirmation node and the warehouse physical branch still has no picking occupation or outbound deduction node after the link level, then the outbound not confirmed tag is output. If there is a return confirmation source on the after-sales side and the warehouse physical branch has no return inbound node, then the return not written back tag is output. If the channel synchronization node has inventory push but no channel receipt edge, then the channel receipt missing tag is output. If there are multiple physical deduction nodes in the same direction under the same preceding event reference and the event fingerprint is not merged, then the duplicate deduction tag is output. The advantage of this embodiment is that the attribution tags are generated by the combination of link nodes, avoiding all differences being uniformly attributed to quantity inconsistency.

[0046] In this embodiment, the projection deviation can be represented by a state surface difference vector, and the calculation formula is as follows: ; in, Indicates projection key The corresponding deviation vector, Represents the inventory projection vector of the transaction commitment state. Represents the projection vector of physical inventory in the warehouse. This represents a mapping function that transforms a transaction commitment state vector into a comparable inventory benchmark. This represents a mapping function that transforms a physical state vector of stored goods into a comparable inventory benchmark. The physical meaning of this mapping function is to convert fields from different state planes to the same comparison space. For example... The sum of the available and salable commitments and the release pending confirmation quantity, minus the locked-up commitments, The sum of available inventory and physical replenishment can be taken, minus the inventory occupied in the warehouse. If a certain projection button is pressed... , ,but This indicates that the transaction commitment state comparison benchmark is 5 inventory units lower than the warehouse physical state comparison benchmark. Subsequent attribution requires reading the projected version sequence that forms this difference and the common preceding event node. The advantage of this embodiment is that the calculation of the projection difference is separated from the attribution link. The difference only triggers backtracking and does not directly replace the attribution result.

[0047] In a preferred embodiment, the event water level window processing further includes late event chain completion processing. When a late inventory event arrives, this processing searches for a set of dangling nodes based on the preceding event references, logical sequence identifiers, and event fingerprints of the late inventory event. The matching late inventory event is then inserted into the missing segment of the corresponding inventory causal event chain. If the late inventory event has already been referenced by an event following the projected version sequence, the link order between the late inventory event and subsequent state transition nodes is regenerated, and the affected projected version number is written to the recalculation queue. Specifically, a late inventory event refers to an event whose logical sequence identifier is earlier than the current link water level. However, if the message arrives later than the standardized inventory event of the subsequent event in the same link, the chain replenishment process first searches for the set of suspended nodes under the same projection key. If the reference of the preceding event of the late event is consistent with the event identifier of the suspended node, or if the identifier of the late event itself is referenced by the suspended node, then a chain replenishment edge is established. If the event fingerprint of the late event is consistent with the existing node and the inventory change type is the same, then the duplicate event merging process is entered. If the late event affects the order of nodes that have formed a projection version sequence, then the recalculation queue is rearranged starting from the earliest affected projection version number. The advantage of this embodiment is that late messages are not simply discarded or directly overwritten, but are entered into the existing link through chain replenishment and recalculation.

[0048] In this embodiment, the recalculation queue stores the projection key, the affected starting version number, the late event identifier, the supplementary chain edge type, and the state surface identifier that needs to be recalculated. During recalculation, the standardized inventory events are reread according to the order of the causal event chain after the supplementary chain, rather than replaying them according to the message arrival time. If the late event is a payment confirmation and there is already an outbound deduction event after it, the system inserts the payment confirmation between the inventory lock and the outbound deduction, and writes the projection version number corresponding to the outbound deduction and the version number of the same projection key after it into the recalculation queue. If the late event is an order cancellation release and there are already payment confirmation and outbound deduction in the original chain, the causal event chain generation unit identifies it as a mutually exclusive downstream event and writes it into the pending backtracking mark, without directly rewriting the already confirmed warehouse physical projection. After the late event is supplemented, the projection version association processing generates a new recalculated version and retains the original version reference. The advantage of this embodiment is that the supplementary chain processing distinguishes between normal lateness, repeated lateness, and mutually exclusive lateness, and maintains the consistency between the chain order and the projection version.

[0049] In a preferred embodiment, the anomaly backtracking and localization unit further includes a minimum link repair set generation process. This process, based on the common preceding event nodes in the anomaly attribution marker, projection version sequence, and inventory causal event chain, filters state transition nodes that share the same preceding event reference as the projection deviation and are under the same projection key. The filtered state transition nodes are arranged into repair candidate chain segments according to their logical timing identifiers. Nodes whose projection version values ​​have not changed are removed from these repair candidate chain segments, forming a repair set containing the anomaly event, the affected projection version number, and the corresponding channel synchronization record. Specifically, the minimum link repair set does not affect the entire product inventory or the entire warehouse inventory. Instead of performing a rollback, this method searches for state transition nodes directly related to the source of the deviation within the same projection key range. If the anomaly is attributed to a lock not being released, the candidate chain extends from the inventory lock node to its expected downstream node position. If the anomaly is attributed to an outbound not being confirmed, the candidate chain extends from the payment confirmation node to the outbound deduction node position. If the anomaly is attributed to a missing channel receipt, the candidate chain extends from the channel inventory push node to the channel receipt node position. After removing nodes that have not changed the projection version value, the repair set only retains nodes that change the projection result or affect the channel synchronization record. The advantage of this embodiment is that the scope of anomaly handling is jointly limited by the link and the projection version, avoiding irrelevant inventory objects and irrelevant events from entering the repair scope.

[0050] In this embodiment, the repair set, once generated, can be used to freeze unconfirmed projection versions, fill in missing receipt references, revoke duplicate deduction candidate versions, or trigger projection recalculation. The frozen object is not the overall inventory of the product, but rather the abnormal events and affected projection version numbers in the repair set. The filled object is not arbitrary inventory flow, but rather the receipt edges in the channel synchronization record and inventory causal event chain. The revoked object is not all duplicate messages, but rather the candidate versions corresponding to duplicate events with consistent event fingerprints and the same inventory change type. The projection recalculation object is not the entire historical data, but rather the sequence of events with the same projection key from the affected starting version number to the current version number. Each element in the repair set stores the source event identifier, projection version number, link node identifier, and channel synchronization record identifier. Subsequent processing writes back the corresponding data table or message topic according to these identifiers. The advantage of this embodiment is that the repair data has definite boundaries and can be mutually verified with the abnormal attribution marker, projection version sequence, and common preceding event node.

[0051] In this embodiment, the minimum link repair set can be formed using a node selection function, calculated as follows: ; in, Represents the minimum set of link repairs. Indicates a candidate state transition node. Indicates a common preceding event node. This indicates the end node that causes the projection deviation. Represents a node The corresponding projection key, Indicates the projection key to which the common preceding event node belongs. Represents a node Pre-event references, Indicates the scope of event references for common preceding event nodes. Represents a node Whether the projection version value has changed and is not 0 indicates that a change has occurred. , , These represent the logical positions of the corresponding nodes in the inventory causal event chain. The physical meaning is to filter nodes that truly change the projected version value within the same projection key, the same preceding reference range, and the same deviation chain segment. For example, if the common preceding event node position is 10, the deviation end node position is 16, and the candidate node positions are 11, 12, 14, and 18, where position 18 does not meet the chain segment range and position 12 has not changed the projected version value, then the repair set retains the state transition nodes corresponding to positions 11 and 14. The advantage of this embodiment is that the formation of the repair set has a verifiable filtering boundary, reducing the participation of irrelevant nodes in rollback or recalculation.

[0052] In a preferred embodiment, after generating the anomaly attribution flag, the anomaly backtracking and locating unit writes the anomaly event, the affected projection version number, the suspended node, the duplicate event merging result, and the channel synchronization record into the same anomaly location record. The anomaly location record does not replace the inventory causal event chain, but serves as an index for the link reading result. During subsequent queries, the anomaly location record can be used to return to the corresponding event node, projection version, and channel synchronization record. If multiple deviation vectors appear consecutively for the same projection key, the anomaly backtracking and locating unit groups the deviations according to the common preceding event node. Deviations with the same common preceding event node and overlapping repair sets are entered into the same anomaly location record, while deviations with different common preceding event nodes are recorded separately to avoid multiple inventory anomalies overlapping each other. After the anomaly location record is generated, the dual-state inventory projection unit continues to update according to the normal event flow, but candidate projection versions involving freezing do not participate in the comparable inventory benchmark calculation. The advantage of this embodiment is that the anomaly location record serves as a link index to save the attribution result, which facilitates subsequent verification of the event chain and projection version.

[0053] In a preferred embodiment, channel synchronization records are associated and stored with channel synchronization nodes in the inventory causal event chain. Channel inventory push events include product identifier, warehouse identifier, channel identifier, push quantity, push source projection version number, and preceding event reference. Channel receipt events include channel identifier, receipt quantity, receipt status, receipt source event, and preceding push reference. The inventory event standardization processing unit converts both channel inventory push events and channel receipt events into standardized inventory events. The causal event chain generation unit uses channel inventory push events as external projection nodes after changes in transaction commitment state inventory projection or warehouse physical state inventory projection, and uses channel receipt events as downstream receipt edges of these external projection nodes. If the transaction commitment state inventory projection is recalculated due to inventory locking, order cancellation release, or late replenishment, the preceding projection version number of the corresponding channel inventory push event enters the repair set candidate range. The advantage of this embodiment is that the channel display status establishes a reference relationship with the central projection version, and missing channel receipts can be included in the inventory causal event chain processing.

[0054] In a preferred embodiment, the system can use partitioned streaming processing to achieve real-time monitoring of the entire chain. The partition key is generated by the product identifier, warehouse identifier, and channel identifier. All standardized inventory events belonging to the same partition key enter the same partition queue. The inventory event standardization processing unit completes field mapping and event fingerprint generation before writing to the partition queue. The causal event chain generation unit maintains directed links and dangling node sets in the partition queue. The bi-state inventory projection unit maintains projection vectors and projection version sequences in the partition queue. The anomaly backtracking and location unit reads common preceding event nodes and repair candidate chain segments in the partition queue. Different partitions do not share water level windows and projection version numbers. Cross-channel shared inventory requires generating a superior projection key with the central inventory pool identifier and mapping each channel projection key to the superior projection key. The mapping relationship is only used to read the central side's committable quantity and does not change the single-channel event chain order. The advantage of this embodiment is that partitioned processing maintains the event order and version continuity within the same inventory object and reduces the impact of cross-partition disorder on chain judgment.

[0055] In a preferred embodiment, when processing after-sales returns, the system interprets return application, return review, return to warehouse, quality inspection and warehousing, and inventory replenishment as standardized inventory events at different levels on the after-sales side. Return application and return review do not directly change the physical inventory projection in the warehouse. Return to warehouse can be written into a physical replenishment candidate event. Quality inspection and warehousing writes a return to warehouse event and updates the physical replenishment quantity. Inventory replenishment writes a channel sellable write-back or center sellable commitment recovery event. If the return to warehouse event has entered the inventory causal event chain while the quality inspection and warehousing event has exceeded the link level and not yet arrived, the return to warehouse event enters the suspended node set and records the expected state transition type as return to warehouse. If the inventory replenishment event arrives earlier than the quality inspection and warehousing event, the causal event chain generation unit writes a causal break marker for the inventory replenishment event and waits for chain repair. The advantage of this embodiment is that after-sales returns are not simply equated with inventory increases, but rather enter a dual-state projection according to the physical replenishment confirmation link.

[0056] In a preferred embodiment, when processing order cancellation and payment timeout, the system uniformly interprets the sources of order cancellation, payment timeout, and manual closure as standardized inventory events of the release type. However, it distinguishes the triggering reasons by the source of business status and the source of event generation. The inventory event standardization processing unit reads the preceding event reference of the release type event. If the preceding event reference points to an inventory lock event and the lock event has not yet been terminated by the payment confirmation event, the transaction commitment state projection processing reduces the lock commitment amount and increases the release pending confirmation amount or restores the sellable commitment amount. If the preceding event reference points to an inventory lock event that has been terminated by the payment confirmation event, the causal event chain generation unit writes the release type event into the mutex edge and generates a backtracking mark. If the release type event is a repeated callback and the event fingerprint is consistent with the existing release event, the repeated event merging processing retains a single valid release event. The advantage of this embodiment is that the release type event determines the processing path according to the preceding link state, avoiding repeated release or erroneous release that changes the projection value.

[0057] In a preferred embodiment, when processing outbound deduction and picking occupation, the system maps picking occupation events, review approval events, and outbound deduction events to physical storage branches. Picking occupation events reduce available inventory and increase inventory occupancy. Review approval events only update the link node status without changing the projection version value. Outbound deduction events reduce inventory occupancy and form a physical deduction termination node. If an outbound deduction event arrives directly while a picking occupation event is missing, the causal event chain generation unit searches for the payment confirmation node based on the preceding event reference and writes the missing edge. The dual-state inventory projection unit records the physical storage projection version triggered by outbound deduction. The anomaly backtracking and location unit checks whether the picking occupation node is an intermediate node whose projection version value has not changed when attributing projection deviations. The minimum link repair set generation process retains the outbound deduction node that truly changes the physical storage projection value while removing nodes whose projection version value has not changed. The advantage of this embodiment is that the intermediate states and physical deduction states in the warehousing operation link are processed separately, avoiding interference from intermediate nodes with the repair set boundary.

[0058] In a preferred embodiment, when processing channel inventory synchronization, the system binds the channel inventory push quantity to a comparable inventory benchmark of the transaction commitment state inventory projection or the warehouse physical state inventory projection. The push source projection version number in the channel inventory push event is used to trace the inventory status that generated the push quantity. If the channel receipt quantity is inconsistent with the push quantity, the anomaly backtracking and positioning unit reads the previous push reference of the channel receipt event and searches for the projection version number corresponding to the push event along the inventory causal event chain. If the projection version number has been recalculated by the late event chain, the channel synchronization record enters the candidate range of the minimum link repair set. If the channel receipt is missing but the link level of the corresponding inventory push event has not exceeded the allowable range, the system retains the channel pending confirmation status. If it has exceeded the allowable range, an anomaly attribution flag for the missing channel receipt is generated. The advantage of this embodiment is that channel inventory distortion can be associated with the specific projection version and link level, rather than just the difference in quantity on the channel side as the processing basis.

[0059] In a preferred embodiment, the system performs consistency checks on the inventory causal event chain, projection version sequence, and anomaly location records. The consistency check includes whether all event nodes have projection keys, whether all state transition edges have upstream and downstream events, whether all projection version numbers correspond to trigger event identifiers, whether the affected projection version number in the anomaly location record exists in the corresponding projection version sequence, and whether the channel synchronization record in the repair set references the projection version number that caused the deviation. If, during the check, a projection version number is found to exist but the corresponding link node is missing, the corresponding projection version number is written into the link recovery set. If a link node exists but there is no projection version change, it is recorded as an intermediate state node and removed during the repair set filtering. If the common preceding event node referenced by the anomaly location record does not belong to the same projection key, the anomaly location record enters the review queue and does not participate in automatic repair. The advantage of this embodiment is that a closed reference loop is formed between various data objects, which makes it easy to discover inconsistencies between link records and projection records.

[0060] In a preferred embodiment, the system's data storage can adopt a logical structure consisting of an event storage table, a link relationship table, a projection version table, and an anomaly location table. The event storage table stores standardized inventory events and event fingerprints. The link relationship table stores upstream events, downstream events, edge types, break markers, and chain completion markers. The projection version table stores the pre-update projection value, post-update projection value, projection version number, and recalculation marker of the transaction commitment state and the physical state of the warehouse. The anomaly location table stores anomaly attribution markers, common preceding event nodes, affected projection version numbers, and repair set identifiers. The tables are linked by event identifiers, projection keys, and projection version numbers. When writing, the order is: first write the event, then the link, then the projection version, and then the anomaly location. When completing a chain, the order is: first add the chain completion edge, then write the recalculation version, and then update the anomaly location index. The advantage of this embodiment is that events, links, projections, and anomaly locations are logically stored in layers, which can support streaming updates and historical backtracking.

[0061] In a preferred embodiment, the system compresses and stores event chains under the same projection key. The compression is limited to closed historical chains without abnormal attribution markers. During compression, the chain segment's start event identifier, end event identifier, projection version range within the chain segment, final transaction commitment projection, and final physical storage projection are retained. Intermediate events within the chain segment are still archived and can be recovered through the chain segment index. If the logical timing identifier of a late event falls into a compressed chain segment, the late event chain replenishment process first reads the chain segment index and recovers the affected chain segment, and then generates a recalculated version according to the logical order after chain replenishment. If the final projection version corresponding to the compressed chain segment is not affected by the late event, there is no need to recover the intermediate events of that chain segment. The advantage of this embodiment is that historical chain segment compression does not destroy event traceability, while retaining the necessary index for late chain replenishment and projection recalculation.

[0062] In a preferred embodiment, the system sets a mutual exclusion verification relationship for anomaly attribution tags. Multiple candidate attribution tags may exist for the same deviation chain segment, but the main attribution tag finally written into the anomaly location record needs to match the link node combination. If the locked-unreleased tag coexists with the payment confirmation node, the system checks whether the payment confirmation node is a late replenishment candidate node. If the payment confirmation node has been officially written and the projection version updated, the locked-unreleased tag becomes a historical candidate tag. If the outbound unconfirmed tag coexists with the outbound deduction node, the system checks whether the outbound deduction node has changed the warehouse physical projection version. If the projection version value has not been changed, the outbound unconfirmed tag continues to be retained. If the channel receipt missing tag coexists with the channel receipt node, the system checks whether the receipt node references the correct preceding push event. The advantage of this embodiment is that the anomaly attribution tags are not simply parallel, but are verified based on the link node and the projection version, reducing conflicts between attribution results.

[0063] In a preferred embodiment, the system supports replay verification of the inventory causal event chain. The replay verification takes the event aggregation sequence as input, recalculates the transaction commitment state inventory projection and the warehouse physical state inventory projection according to the logical timing identifier, supplementary chain edge and mutual exclusion edge, and compares the replay obtained projection version sequence with the official record in the projection version table. If there is a difference between the replay version and the official version in the trigger event identifier, the projection value before update or the projection value after update, the difference version is written into the version verification record. If the difference comes from the late event supplementary chain, the version verification record is associated with the recalculation mark. If the difference comes from the failure of duplicate event merging, the version verification record is associated with the event fingerprint and the duplicate source set. The replay verification can be triggered by the projection key, by the common preceding event node or by the abnormal location record. The advantage of this embodiment is that the inventory projection result can be recalculated and verified through the event chain, supporting the verifiability of the full-link monitoring data.

[0064] In a preferred embodiment, the system uses a single-link sequential submission for the same projection key in high-concurrency order writing scenarios. The inventory event standardization processing unit can receive events from different sources in parallel. However, events entering the same projection key need to be sorted by the causal event chain generation unit according to logical timing and reference to preceding events before triggering projection updates. If multiple inventory lock events simultaneously point to the same product, warehouse, and channel, the causal event chain generation unit creates different order link branches and updates the locked commitment amount in the transaction commitment state inventory projection according to the event order. If one of the order cancellation release events arrives, only the corresponding locked commitment amount is released along that order link branch, and other order link branches are not affected. If multiple order link branches share the same channel synchronization node, the channel synchronization record distinguishes the source by the corresponding projection version number. The advantage of this embodiment is that concurrent events within the same inventory object have a definite submission order, and the release and deduction between different order branches will not interfere with each other.

[0065] In a preferred embodiment, when the system discovers that the same upstream inventory event is referenced by multiple mutually exclusive downstream events, it does not directly delete any downstream event. Instead, it writes all mutually exclusive downstream events into the inventory causal event chain and sets mutually exclusive edges. The dual-state inventory projection unit only allows one mutually exclusive downstream event to enter the formal projection version sequence, while the remaining mutually exclusive downstream events enter the candidate version record. When selecting the formal projection version, the business status source, logical timing identifier, event generation source, and existing link termination status are read. If the payment confirmation event has already formed an outbound deduction downstream node, the subsequent order cancellation release event enters the pending backtracking mark. If the order cancellation release event has already formed a release pending confirmation quantity but has not formed a payment confirmation node, the subsequent payment confirmation event enters the pending backtracking mark. The advantage of this embodiment is that the mutually exclusive conflict is preserved as a link structure and candidate version, rather than causing the loss of the status source through simple overwriting.

[0066] In a preferred embodiment, the system's display data for projection deviation also originates from the event chain and projection version records. The display fields include projection key, anomaly attribution flag, common preceding event node, transaction commitment state branch end node, warehouse physical state branch end node, affected projection version number, and repair set identifier. The display data does not directly read the current inventory balance of the original business system, but rather reads the standardized events and the formed projection versions. If the original business system subsequently reissues events, the display data changes with the update of chain replenishment, recalculation, and anomaly location records. If the repair set has been generated but not yet executed, the display data retains the repair candidate chain segment and the projection version number to be processed. The advantage of this embodiment is that the monitoring display is consistent with the underlying chain, avoiding discrepancies between the display layer data and the attribution data.

[0067] In a preferred embodiment, the system implements data permissions and data isolation using logical partitioning. After the product identifier, warehouse identifier, and channel identifier form projection keys, the event storage table, link relationship table, projection version table, and anomaly location table all use the projection keys as index conditions. When querying the inventory status of a certain channel, only the event chain nodes, projection versions, and anomaly location records under that channel identifier are returned. When querying the central inventory status, the aggregated results of multiple channel projection keys under the same product and warehouse can be read, but the aggregated results do not change the inventory causal event chain of each channel. If a channel has a missing channel receipt, the anomaly backtracking and location unit only includes the synchronization record of that channel in the repair set, and does not include the inventory synchronization records of other channels in the same repair set. The advantage of this embodiment is that multi-channel inventory monitoring can share the central inventory view, while maintaining clear attribution boundaries for each channel link.

[0068] In a preferred embodiment, the system uses a configurable mapping function to compare the projected inventory in the transaction commitment state with the projected physical inventory in the warehouse. However, the input fields of the mapping function are fixed from the available commitment quantity, locked commitment quantity, release pending confirmation quantity, warehouse available quantity, warehouse occupied quantity, and physical replenishment quantity. The system allows different comparable inventory benchmark expressions to be set for different commodity types. For example, for pre-sale commodities, the release pending confirmation quantity can be deferred and included in the transaction commitment state comparison benchmark. For ordinary spot commodities, the release pending confirmation quantity can be included in the transaction commitment state comparison benchmark after the release event is confirmed. When the mapping function is changed, a new comparison caliber version is generated. The comparison caliber version and the projection version number are written together into the anomaly location record. The historical anomaly location record is still interpreted according to the original comparison caliber version. The advantage of this embodiment is that the projection comparison caliber can adapt to different inventory business states, while keeping the input fields and version records traceable.

[0069] In a preferred embodiment, the system performs closed-loop verification of the inventory status after anomaly repair. After the repair set is executed, the causal event chain generation unit reads the abnormal events in the repair set, rewrites receipts, cancels candidate versions or recalculates versions, and regenerates the link segment between the common preceding event node and the deviation end node. The dual-state inventory projection unit recalculates the transaction commitment state inventory projection and the warehouse physical state inventory projection corresponding to the link segment. The anomaly backtracking and positioning unit recalculates the deviation vector and confirms whether there are still attribution tags for locked items not released, unconfirmed outbound items, unwritten returns, missing channel receipts, or duplicate deductions. If attribution tags still exist, the repair set is kept in an unclosed state. If the attribution tags disappear and the projection version sequence is consistent with the link node reference, the repair set is marked as closed. The advantage of this embodiment is that the repair processing, event chain replay, projection recalculation, and attribution tag verification form a closed loop, reducing secondary deviations caused by only modifying the quantity field.

[0070] In a preferred embodiment, the system also processes the inventory correction data generated by external compensation tasks as standardized inventory events. The compensation task cannot directly rewrite the transaction commitment state inventory projection or the warehouse physical state inventory projection. Instead, it must provide product identifier, warehouse identifier, channel identifier, inventory impact direction, preceding event reference, and event generation source. The inventory event standardization processing unit marks the compensation task as a compensation event. The causal event chain generation unit connects the compensation event to the corresponding abnormal chain segment based on the preceding event reference. If the compensation event cannot provide a preceding event reference, the compensation event enters the candidate sequence and waits for manual designation or subsequent automatic matching. The dual-state inventory projection unit generates a projection version number only after the compensation event is connected to the inventory causal event chain. The advantage of this embodiment is that the compensation task will not bypass the causal event chain to directly change the inventory state, ensuring that the correction data can still be traced back and verified.

[0071] In one embodiment, the overall workflow of the system can be summarized as follows: after the raw inventory change data enters, standardized inventory events are generated. The standardized inventory events enter the event aggregation sequence according to the product identifier, warehouse identifier, and channel identifier. The causal event chain generation unit establishes a directed link based on the logical timing identifier and the reference of the preceding event and handles broken, mutually exclusive, and suspended nodes. The dual-state inventory projection unit performs incremental updates according to the direction of the event's impact on the transaction commitment state and the physical state of the warehouse and generates a projection version sequence. When the two types of projections deviate from the same projection key, the anomaly backtracking and positioning unit reads the common preceding event node and the projection version sequence, generates anomaly attribution markers, and filters the minimum link repair set. Late events, duplicate events, channel receipts, and compensation events all enter this process through the same standardized event structure. The advantage of this embodiment is that each processing link operates around the same projection key and the same inventory causal event chain, and the full-link inventory monitoring has a unified data caliber, link caliber, and version caliber.

Claims

1. An e-commerce inventory end-to-end real-time monitoring system, characterized in that, It includes an inventory event standardization processing unit, a causal event chain generation unit, a dual-state inventory projection unit, and an anomaly backtracking and location unit; The standardized inventory event processing unit converts order creation, inventory locking, payment confirmation, order cancellation, outbound deduction, return and warehousing, and channel synchronization into standardized inventory events. The causal event chain generation unit generates an inventory causal event chain based on the logical sequence identifier and preceding event reference in the standardized inventory events. The dual-state inventory projection unit updates the transaction commitment state inventory projection and the warehouse physical state inventory projection based on the inventory causal event chain, respectively. When a deviation occurs between the two types of inventory projections, the anomaly backtracking and locating unit determines the state transition node that caused the deviation along the inventory causal event chain.

2. The e-commerce inventory end-to-end real-time monitoring system according to claim 1, characterized in that, The standardized inventory events include product identifier, warehouse identifier, channel identifier, inventory change type, business status source, logical sequence identifier, reference to preceding events, direction of inventory impact, and source of event generation; The standardized inventory event processing unit expresses order-side events, warehousing-side events, after-sales-side events, and channel-side events isomorphically according to the mapping relationship between the source of business status and the direction of inventory impact. It also writes multiple standardized inventory events with related preceding event references under the same product identifier, warehouse identifier, and channel identifier into the same event aggregation sequence.

3. The e-commerce inventory end-to-end real-time monitoring system according to claim 1, characterized in that, The causal event chain generation unit includes event succession relationship generation processing and event break marking processing; The event succession relationship generation process searches for upstream inventory events based on the reference of preceding events, and writes the event relationships from order creation to inventory locking, inventory locking to payment confirmation or order cancellation, payment confirmation to outbound deduction, and outbound deduction to return to warehouse into the directed link; The event break marking process writes a causal break mark for the corresponding link when no upstream inventory event is found, the same upstream inventory event is referenced by multiple mutually exclusive downstream events, or the downstream event enters the streaming window earlier than the upstream event.

4. The e-commerce inventory end-to-end real-time monitoring system according to claim 1, characterized in that, The dual-state inventory projection unit includes transaction commitment state projection processing and warehouse physical state projection processing; The transaction commitment projection processing updates the available commitment quantity, locked commitment quantity, and release pending confirmation quantity based on inventory lock, payment pending confirmation, order cancellation release, and channel occupation events. The physical projection processing of the warehouse updates the available quantity, the occupied quantity, and the physical replenishment quantity in the warehouse based on picking occupation, outbound deduction, return and return, and exchange occupation events. Both types of projections use product identifiers, warehouse identifiers, and channel identifiers to form corresponding projection keys.

5. The e-commerce inventory end-to-end real-time monitoring system according to claim 2, characterized in that, The inventory event standardization processing unit also includes duplicate event merging processing; The duplicate event merging process generates event fingerprints based on product identifier, warehouse identifier, channel identifier, business status source, preceding event reference, and inventory impact direction, and merges multiple standardized inventory events with the same event fingerprint and the same inventory change type into a single valid inventory event. When event fingerprints are consistent but inventory change types are mutually exclusive, bind the mutually exclusive events to the original event aggregation sequence and write a backtracking flag for the mutually exclusive events.

6. The e-commerce inventory end-to-end real-time monitoring system according to claim 3, characterized in that, The causal event chain generation unit also includes event water level window processing; The event level window processing maintains the link level according to product identifier, warehouse identifier and channel identifier respectively, and retains inventory lock events, payment confirmation events, outbound deduction events and return-to-warehouse events that have not yet been referenced by downstream entities within the streaming window; For inventory events that exceed the link level but have not yet formed the expected downstream event, the corresponding inventory event is attached to the set of suspended nodes in the inventory causal event chain, and the expected state transition type corresponding to the suspended node is recorded.

7. The e-commerce inventory end-to-end real-time monitoring system according to claim 4, characterized in that, The dual-state inventory projection unit also includes projection version association processing; The projection version association process records the standardized inventory event that triggered the update, the projection value before the update, the projection value after the update, and the projection version number each time the transaction commitment state inventory projection or the warehouse physical state inventory projection is updated, and writes the projection version number into the corresponding state transition node in the inventory causal event chain. When the same state transition node corresponds to multiple projection version numbers, a projection version sequence is formed according to the logical timing identifier.

8. The e-commerce inventory end-to-end real-time monitoring system according to claim 4, characterized in that, The anomaly backtracking and localization unit includes projection deviation attribution processing; When the projection deviation attribution process generates a difference between the transaction commitment state inventory projection and the warehouse physical state inventory projection for the same projection key, it reads the projection version sequence that forms the difference and finds the nearest common preceding event node in the inventory causal event chain. Starting from the common pre-event node, read the state transition node along the transaction commitment state branch and the warehouse physical state branch respectively, and generate abnormal attribution flags for locked but not released, outbound not confirmed, returned goods not written back, missing channel receipts or duplicate deductions.

9. The e-commerce inventory end-to-end real-time monitoring system according to claim 6, characterized in that, The event water level window processing also includes late event chain replenishment processing; The late event chain completion process, when a late inventory event arrives, searches for a set of dangling nodes based on the preceding event reference, logical sequence identifier, and event fingerprint of the late inventory event, and inserts the matching late inventory event into the missing segment of the corresponding inventory causal event chain. If a late inventory event has been referenced by an event after the projected version sequence, the link order between the late inventory event and the subsequent state transition node is regenerated, and the affected projected version number is written to the recalculation queue.

10. The e-commerce inventory end-to-end real-time monitoring system according to claim 8, characterized in that, The anomaly backtracking and localization unit also includes a minimum link repair set generation process; The minimum link repair set generation process is based on the common preceding event nodes in the anomaly attribution tag, projection version sequence and inventory causal event chain, and filters state transition nodes that have the same preceding event reference as the projection deviation and are under the same projection key. The selected state transition nodes are arranged into repair candidate chains according to their logical timing identifiers. Nodes that have not changed the projection version value are removed from the repair candidate chains, forming a repair set that includes abnormal events, affected projection version numbers, and corresponding channel synchronization records.

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