Loss reduction system based on logistics transportation damage parts

Abstract

The invention relates to the technical field of logistics transportation, in particular to a loss reduction system based on logistics damaged parts, which comprises a processing module, a price guarantee module, a risk assessment module, an identification module, a claim settlement module and a residual value disposal module. According to the invention, the processing module processes the carriage information, the insurance premium and the freight are generated through the insurance price module according to the processed carriage information, the risk assessment module carries out risk assessment according to the carriage information and outputs the disposal information, and the risk assessment is carried out before carriage, so that the loss can be reduced. Value identification is carried out on the carrier product through the identification module to reduce the period duration of outsourcing identification and offline identification, and claim talking with the user is carried out through the claim settlement module according to the compensation strategy and the claim talking module; and after the claim payment process is entered, residual value registration and / or bidding processing are / is carried out on the damaged part carrier products which are settled through a residual value processing module, so that the claim period of the case is shortened, and the problems of unnecessary communication and economic cost are solved.

Description

Technical Field

[0001] This invention relates to the field of logistics and transportation technology, and in particular to a loss reduction system, apparatus and system based on damaged parts in logistics transportation. Background Technology

[0002] With the frequent online transactions such as e-commerce, the express delivery and logistics industry has developed rapidly. During operations, express delivery and logistics companies inevitably encounter situations where goods are damaged in transit, requiring compensation at cost. Therefore, if the shipped item already has hidden damage, and damage occurs during transport, the carrier and insurance company must provide compensation. This is especially true for high-value items such as artwork, jade, and wine, whose authenticity is difficult to verify and whose actual market value is uncertain; in such cases, the compensation price may exceed the actual value of the item.

[0003] After a carrier / insurance company accepts a case, it needs to outsource the identification and valuation of the damaged goods. However, in actual business, the identification efficiency of suspected high-value damaged goods is very low, requiring secondary transportation. Traditional offline identification takes as long as 7-15 days and has high overall identification costs, leading to a vicious cycle of "delayed loss assessment - customer complaints - escalation of public opinion". This results in a lengthy case negotiation period, unnecessary communication, and economic costs. Summary of the Invention

[0004] Therefore, it is necessary to provide a loss reduction system based on damaged parts in logistics to address the above problems.

[0005] The present invention is implemented as follows: a loss reduction system based on damaged parts in logistics transportation, the loss reduction system based on damaged parts in logistics transportation includes: a processing module, the processing module being used to preprocess the transportation information of the transported products; The insurance module is used to generate insurance information for the transported products based on the pre-processed transport information. The risk assessment module is used to conduct risk assessment based on the preprocessed carrier information and output disposal information based on the risk assessment results. The appraisal module is used to appraise value based on the results of risk assessment and / or incident information and generate an appraisal report; The claims module is used to generate a compensation strategy based on the insured value information and the appraisal report, and to negotiate the claims with the user and execute the compensation process through the claims negotiation module. The residual value disposal module is used to register and / or auction off the residual value of the carrier products that have completed the compensation process and been closed.

[0006] The loss reduction system based on damaged goods in logistics provided by this invention preprocesses the acquired transportation information of the transported goods through a processing module, generates insurance information for the transported goods through an insurance module, and simultaneously conducts a risk assessment of the transportation information of the transported goods through a risk assessment module, outputting disposal information based on the risk assessment results. Risk assessment before transportation can reduce losses. After the risk assessment, an appraisal module appraises the value of the transported goods based on the risk assessment results and / or the loss information after the case is accepted, generating an appraisal report to reduce the cycle time of outsourced appraisal and offline appraisal. Furthermore, a claims module generates a compensation strategy based on the insurance information of the transported goods and the appraisal report, and a negotiation module negotiates claims with the user to determine the final compensation strategy and execute the compensation process. Finally, a residual value disposal module registers the residual value of the damaged transported goods that have completed the compensation process and the case is closed, and / or conducts auction disposal to promptly dispose of the damaged goods, reducing the case negotiation cycle. This solves the problems of unnecessary communication and economic costs. Attached Figure Description

[0007] Figure 1 This is a structural block diagram of a loss reduction system based on damaged parts in logistics, as shown in one embodiment. Detailed Implementation To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0008] It is understood that the terms "first," "second," etc., used in this invention may be used to describe various elements herein, but unless specifically stated otherwise, these elements are not limited by these terms. These terms are used only to distinguish one element from another. For example, without departing from the scope of this invention, a first script may be referred to as a second script, and similarly, a second script may be referred to as a first script.

[0009] like Figure 1 As shown, in one embodiment, a loss reduction system based on damaged parts in logistics is proposed, which may specifically include: The processing module is used to preprocess the transportation information of the transported products; The insurance module is used to generate insurance information for the transported products based on the pre-processed transport information. The risk assessment module is used to conduct risk assessment based on the preprocessed carrier information and output disposal information based on the risk assessment results. The appraisal module is used to appraise value based on the results of risk assessment and / or incident information and generate an appraisal report; The claims module is used to generate a compensation strategy based on the insured value information and the appraisal report, and to negotiate the claims with the user and execute the compensation process through the claims negotiation module. The residual value disposal module is used to register and / or auction off the residual value of the carrier products that have completed the compensation process and been closed.

[0010] In this embodiment, the loss reduction system based on damaged parts in logistics is mainly used by carriers / insurers to respond to customers' insurance demands for transported products. Based on the obtained insurance information of the transported products, the system performs preprocessing analysis on various transport information of the transported products through a processing module. The transport information of the transported products may include order information (waybill number, consignor, consignee, address, contact number, etc.), transport product information (product name, quantity, weight, volume, packaging type, value, etc.), and transport information (carrier name, estimated pickup / delivery time, actual trajectory, driver / transport vehicle information). The preprocessing can be to organize, check, or convert various transport information into an information display format that can be run within the system. This can include data cleaning (correcting errors, filling in missing values, removing duplicate data, etc.), standardization (format unification, code conversion, unit unification, etc.), and verification (automatically checking whether the information corresponds to the transported products according to business rules, checking whether the weight / volume is within the carrier's coverage range, etc.).

[0011] In this embodiment, the insurance module can generate the insurance premium and freight for the transported products based on the pre-processed carrier information through calculation or table lookup. The pre-processed carrier information includes accurate product value, standard product classification for pricing purposes, accurate weight and volume for calculating transportation costs, and verified origin and destination for planning transportation routes. By determining the mode of transport and its timeliness, the insurance premium and freight for the transported products can be calculated. The insurance premium for the transported products is essentially an insurance fee, representing an insured amount declared by the customer for the transported products. If loss or damage occurs during transportation, the carrier needs to compensate according to this amount. The premium is calculated by multiplying the insured amount by the rate, which is dynamically determined by risk factors. The higher the product value, the greater the risk, and the higher the rate. The rate will be higher for fragile items or precision instruments than for other ordinary products. The rate will also be higher for long-distance, cross-border, or complex road conditions. Setting an insurance premium is to use the premium to cover potential compensation risks and achieve risk transfer. Freight costs are the expenses for the transportation service itself, including the cost of picking up, transporting, delivering, manpower, vehicles, fuel, and other services provided to customers.

[0012] In this embodiment, the risk assessment module determines risk events, their probability of occurrence, and potential losses based on the pre-processed carrier information. The results of the risk assessment may include cargo risks (fragile goods are at risk of breakage, high-value goods are at risk of theft), route risks (the risk of bumpy roads in mountainous areas, high risk of delays at borders / customs, and high risk of theft / loss in high-risk areas), timeliness risks (expedited transportation may increase the probability of operational errors), and environmental risks (severe weather forecasts and holiday congestion). The disposal information output based on the risk assessment may include reminding carriers to use mandatory special packaging for the transported products (shockproof and waterproof packaging), route avoidance information, upgrading the mode of transportation (changing from land transportation to air transportation to avoid route risks), and increasing monitoring information (mandatory use of GPS trackers to prevent theft or loss). However, for extremely high-risk carrier cases, the disposal information may include suggestions to refuse the order, increase the premium, or have the carrier case information undergo special approval by a risk control specialist. Multiple disposal information may also be output.

[0013] In this embodiment, the appraisal module primarily assesses the value of the transported products based on the results of risk assessment and / or incident information. Valuation based on risk assessment results can be a preventative assessment conducted at critical points in transportation (after loading, before transshipment) when the risk assessment indicates high risk (high-value artwork, fragile items, or precision instruments). This is equivalent to pre-transport inspection and assessment of the transported products to record their condition for future comparison. Valuation based on incident information can be a process of assessing the value, determining damage, and assigning liability for the transported products upon receiving reports of "damaged goods" or "lost goods." Based on submitted photos, videos, or text descriptions of the damaged products, the module assesses the extent of loss. The appraisal process involves assessing the extent of damage (total loss, partial damage, or functional damage), evaluating repair feasibility and costs, assessing depreciation rates, and determining residual value. Ultimately, a corresponding electronic appraisal report is generated. This report typically includes basic information (waybill number, appraisal time and location, and appraisal details), a statement of facts (determining the damaged parts and providing a professional description of the extent of damage based on photos, videos, or text descriptions of the transported product), a value conclusion, and recommendations for liability analysis (preliminary analysis of the causes based on the nature of the damage). By submitting photos, videos, and text descriptions as attachments, the appraisal of the transported product's value is completed, generating an electronic appraisal report. This process shortens the time required for outsourced or offline appraisals and avoids damage caused by secondary transportation of the transported product.

[0014] In this embodiment, the claims module primarily generates compensation strategies based on the insured value information and the appraisal report. These strategies can vary depending on the cause and extent of damage confirmed in the appraisal report. For example, if the appraisal report confirms total loss or total damage with no exclusions, full compensation will be provided according to the insured premium. If the appraisal report determines partial loss or repairable damage, a proportional compensation or repair compensation strategy can be generated (primarily compensating for actual losses, following the principle of loss compensation). If the appraisal report reveals unclear liability, shared responsibility, or difficulty in assessing the value of the transported product, the compensation strategy can initially offer room for negotiation (between 50% and 80% of the insured amount, with reasons for negotiation) to facilitate subsequent claims negotiations. The process allows for flexibility to shorten the claims negotiation period. If the assessment report confirms that the shipper's intentional act, the inherent defect of the transported product, or the situation is caused by force majeure without fault, triggering the exemption clause, a claim rejection strategy can be implemented, generating corresponding rejection theories and detailed clause basis. After generating the claims strategy, an online communication channel for claims negotiation can be established with the customer through the claims negotiation module to facilitate the communication process with the customer / shipper and enter the corresponding compensation process based on the negotiation results. Once the customer and the carrier reach an agreement on the content of the claims strategy during the negotiations (either online confirmation from the customer or manual confirmation), the compensation process begins, which may involve generating a claims number, locking the relevant evidence and the relevant agreements of the claims strategy, and making compensation payments.

[0015] In this embodiment, the residual value disposal module is mainly a process of disposing of the transported products after the compensation process has been completed and the case has been closed. After compensation and case closure, the ownership of the products has been transferred from the customer to the carrier. The transported products can be products that are totaled but still have parts, products that are partially damaged but can be repaired, or products that have been lost and recovered. The residual value registration and auction disposal of these transported products left after the case closure (which can be a special type of asset of the carrier) are the actions to deal with them. The residual value registration can be to register the status and estimated value of these products, etc. The auction disposal is the process of realizing their value. Through internal auctions, listing on second-hand platforms, or bidding by recycling companies, the final value of the products is recovered.

[0016] The loss reduction system based on damaged goods in logistics provided by this invention preprocesses the acquired transportation information of the transported goods through a processing module, generates insurance information for the transported goods through an insurance module, and simultaneously conducts a risk assessment of the transportation information of the transported goods through a risk assessment module, outputting disposal information based on the risk assessment results. Risk assessment before transportation can reduce losses. After the risk assessment, an appraisal module appraises the value of the transported goods based on the risk assessment results and / or the loss information after the case is accepted, generating an appraisal report to reduce the cycle time of outsourced appraisal and offline appraisal. Furthermore, a claims module generates a compensation strategy based on the insurance information and appraisal report of the transported goods, and a negotiation module negotiates claims with the user to determine the final compensation strategy and enter the compensation process. Finally, a residual value disposal module registers the residual value of the damaged transported goods that have entered the compensation process and been closed, and / or conducts auction disposal for timely disposal, reducing the negotiation cycle of the case. This solves the problems of unnecessary communication and economic costs.

[0017] In one embodiment of the present invention, generating insurance information for the transported product based on the preprocessed transport information includes: The XGBoost-LSTM fusion algorithm is used to extract information features from the acquired carrier information data to obtain information on at least one of the following: the category, weight, origin, and destination of the carrier product. An insurance rate table is generated based on at least one of the following information: product type, weight, origin, and destination. The insurance premium for the transported products is calculated using the insurance premium rate table. The product quotation module allows you to quote a price for the products you wish to transport and obtain the shipping costs.

[0018] In this embodiment, the insurance information for the transported products mainly includes the product value, insurance rate, premium, freight, compensation limit, deductible, and special terms declared by the customer before shipment. The premium calculation requires the customer to input the transport information into the enterprise's system interface. The system then uses the XGBoost-LSTM fusion algorithm to extract features from the acquired transport information data, obtaining at least one of the following: product category, weight, origin, and destination. The insurance module dynamically generates a three-tiered, 12-level insurance rate table based on the type, weight, origin, destination, historical damage rate of similar items, customer credit rating, and real-time co-insurance capacity of the shipment. It calculates the optimal premium in real time and returns it to the carrier / insurer, who can then charge the customer accordingly. The product quotation module quotes the transport method, vehicle, and transport time to obtain the freight cost. If the pre-processed shipping information is as follows: product is mobile phone, declared value is 10,000, weight is 0.5 kg, origin is city A, district A, destination is city B, district B, and the delivery time type is next-day delivery; the premium calculation can be 10,000. 0.003 = 30 yuan. The shipping cost can be calculated as follows: destination is city B, first weight is 0.5 kg, next-day delivery service, basic shipping cost is 25 yuan, and the total price is 25 + 30 = 55 yuan.

[0019] In one embodiment of the present invention, the risk assessment based on the preprocessed carrier information includes: The information processing module extracts order features, image features, and at least one feature from the on-chain history from the preprocessed shipping information. Anomaly detection is performed on the extracted feature information; Conduct risk assessment on the results of anomaly identification of feature information; The anomaly identification results include fraud identification results for the carrier information and fragility identification results for the carrier products.

[0020] In this embodiment, the risk assessment performed by the risk module based on the preprocessed carrier information can be achieved by the information processing module extracting relevant carrier feature information from the preprocessed carrier information so that the risk assessment module can identify risks and output disposal information. The feature information can include order features, image features, on-chain history, etc. Order features include the category of the transported product, declared value, packaging method, whether roadside pickup is specified, and whether the product is traded on a second-hand platform. Image features can be extracted from real-time videos of the outer packaging, contents, and sealing of the package taken by the sender / courier. On-chain history includes the customer (sender) identity information, recipient identity information, sender address, recipient address, sender phone number, recipient phone number, and all claims records for the past 24 months involved in this transport. After obtaining the above feature information, it is handed over to the built-in risk assessment module for anomaly identification, risk assessment, and judgment. The risk assessment module identifies identical phone numbers, similar addresses, and identical items. Anomaly identification results are output based on abnormal characteristics such as multiple cases, intact outer packaging but broken contents, and a sharp increase in claim amount within a short period. This results in fraud identification results regarding the carrier information and / or fragility identification results regarding the carrier products. If a fraud identification result is encountered, the report information can be directly output and the corresponding case information can be synchronized. Through information verification, a risk assessment level judgment or score can be generated, generating a corresponding risk score (0-100 points) or risk level (low / medium / high / extremely high). Specific risk items and probabilities can also be listed further. For example, if the pre-processed carrier information is that the carrier product is a precision medical device, valued at 500,000 yuan, and is fragile (extremely high value and fragility indicate high risk); the route is Shenzhen-Kunming and passes through multiple mountain roads (high risk of winding and bumpy roads); the delivery time is 5 days; and the weather forecast indicates moderate rain during the transportation period (risk of slippery roads due to rain), the overall risk assessment result is a high-risk assessment result.

[0021] In one embodiment of the present invention, the step of outputting disposal information based on the risk assessment results includes: Based on the results of risk assessment, information on pre-carrying handling and / or post-accident handling is provided for the transported products. The pre-shipment handling information includes: whether the shipment is being processed normally, whether the packaging is reinforced and video recorded, whether the package is opened for inspection and video recorded, and whether pickup is suspended and manual audit is conducted. The post-accident reporting handling information involves classifying the transported order as low-risk, medium-risk, or high-risk.

[0022] In this embodiment, by dividing the risk assessment results into fraud identification results for carrier information and fragility identification results for the carrier products, these results can be associated with pre-shipment handling information and post-accident reporting handling information, respectively. Post-accident reporting handling information can include not only accident reports that occur after the risk assessment results but also handling information taken after a user reports a loss of the carrier products. Pre-shipment handling is a preventative risk control phase, generally occurring after the carrier order is created but before the carrier products are dispatched, to prevent losses. This pre-shipment handling is based on the risk assessment results and involves... The disposal information includes whether the shipment was normal (if the transported products are common, low-value items such as ordinary clothing or books, and a low-risk assessment result is obtained, standardized packaging and normal acceptance procedures can be followed without special treatment; the output disposal information can be "normal shipment" and "disposal of the transported products according to normal shipment procedures"); and whether reinforced packaging and video recording were used (if the transported products are glass or ceramics, information such as reinforced packaging and video recording is required to enhance the protection of the transported products and document the process; the operation process can be "using reinforced packaging materials to package the transported products"). The entire process is video-recorded and archived to reduce the possibility of damage and preserve evidence for potential disputes, minimizing losses. Whether to open and inspect the package (e.g., if the shipped product is a high-value luxury item or precision instrument, or if the category is significantly inconsistent with its declared value, or if a new customer is shipping a high-value item for the first time, information on the handling of opening and inspecting the package and recording it is required for content verification and evidence preservation. The operation can be a monitored opening and inspection of the actual items to verify whether the items match the declared shipping information, and the physical condition of the items and the entire inspection process are recorded on video to prevent misrepresentation). (If the information and product are inconsistent, it indicates dishonest behavior, and the starting point of responsibility should be clearly defined); whether to suspend collection and manual audit (if the product being transported receives an extremely high risk rating after risk assessment, or the declared value in the transport information is abnormally high, or the product is suspected of not being within the scope of transported goods, or the product being transported by a blacklisted customer, it is necessary to output information to suspend collection and manual audit. The operation process may be to suspend the current collection process and have a risk control specialist conduct a manual review. Depending on the needs of the product being transported, the customer may be required to provide additional supporting information or the transport may be directly rejected, thereby intercepting high-risk business and avoiding significant losses).

[0023] The handling information after an accident report can be categorized by risk level and assigned a corresponding risk label. Low-risk labels (e.g., orders with losses of less than 500 yuan, clear liability, obviously the carrier's responsibility, good credit history, and complete claim materials) can be labeled as low-risk. Handling information for these orders can include expedited processing, simplified review procedures, priority compensation, and high automation to reduce processing costs and unnecessary losses. Medium-risk labels (e.g., orders with moderate losses, liability requiring further investigation, incomplete claim materials, and certain risks) can be assigned. Disputes and other characteristics can be identified as medium risk. The handling information for such cases may include standard procedures and manual review, as well as requiring the supplementation of missing claim materials to balance efficiency and risk control. High-risk characteristics (such as losses exceeding 5,000 yuan after an accident report, complex liability determination, suspected dishonest orders or abnormal carrier information, and inconsistent or contradictory claim materials) can be identified as high risk. The handling information for such cases may include strict investigation procedures or multi-level review procedures, and the introduction of third-party appraisals or legal intervention to prevent major losses or dishonest transactions. For example, if a customer's product to be shipped is a laptop worth 8,000 yuan, the pre-shipment risk assessment can combine multiple factors, such as the fragility risk (high) due to the susceptibility of electronic products, the value risk (medium-high) due to 8,000 yuan being a relatively high value, and the packaging risk (high) due to the customer's self-packaging and unknown quality. The resulting risk assessment would be moderately high. Based on this risk assessment, pre-shipment handling information could include reinforcing the packaging and recording it on video, as well as opening and inspecting the package and recording it on video. The process involves the pickup clerk, under monitoring, unpacking the customer's self-packaged product to confirm if it is indeed a laptop, checking for external damage, and recording the process. Professional shock-absorbing materials are then used for repackaging. The entire reinforcement process is recorded on video, and the video files are archived with the waybill number. After the product arrives at its destination, the customer signs for it and reports the incident within 24 hours. Upon receiving the incident report, the carrier marks the product as medium risk based on factors such as the estimated repair cost of 2,000 yuan, the provision of evidence, the timeliness of the report, and the fact that the outer packaging is intact but the internal damage is significant.

[0024] In one embodiment of the present invention, the step of performing value assessment and generating an assessment report based on the results of risk assessment and / or incident information includes: Obtain photos, videos, and / or text descriptions of the damaged parts of the carrier's products after risk assessment and handling, and / or after an incident. The image recognition module identifies photos, videos, and / or text descriptions of the damaged parts of the transported products. Based on the recognition results, the damaged area of ​​the transported product is segmented using the CNN+Attention algorithm. The segmentation results are then used to classify the damage level of the transported product and estimate the repair cost. The value of the transported products is calculated based on the regional division of the transported products, the classification of damage levels, and the estimated repair costs. The value of an item is assessed using the knowledge graph module; The expert network assessment module is used to conduct the assessment and generate an assessment report.

[0025] In this embodiment, the architecture of the identification module mainly includes a client-side mini-program and a cloud-based identification engine. The carrier obtains information such as photos, videos, and text descriptions of the products to be identified submitted by customers on the client-side mini-program or the interface mini-program and uploads them to the cloud-based identification engine. The image recognition module then uses the CNN+Attention algorithm to segment the damaged areas of the products, classify the damage level, and estimate the repair costs. The CNN+Attention algorithm combines a convolutional neural network (CNN) and an attention mechanism (Attention) to process sequential data and extract important features. It can be applied to natural language processing, speech recognition, and image processing. The value of the damaged product is calculated by dividing the damaged area, classifying the damage level, and estimating the repair cost. Then, a knowledge graph module is used to construct a mental knowledge graph including category, brand, year, material, and market transaction price. For example, when it is necessary to identify a picture of a mobile phone with a cracked screen, the image recognition module can identify that the screen of a certain model of mobile phone is cracked, such as an iPhone 14. The knowledge graph module is used to associate the official repair price of 2298 yuan, the third-party premium repair price of 1200 yuan, and the market price of a used whole phone of 3500 yuan. Combined with the packaging photos in the liability determination (the relationship between intact packaging and screen crack in the knowledge graph), it is inferred that the damage was caused by internal force during transportation, rather than intentional damage. Alternatively, an expert network built in the cloud can be used for authoritative appraisal and generate an electronic appraisal report. The generated electronic appraisal report can be in various formats, such as PDF and JSON. The report includes the authenticity of the item, the level of damage (e.g., a severely cracked screen requiring immediate replacement), the depreciation rate (current price 6000 yuan, but with an insured value of 8000 yuan, the depreciation rate is 25%), repair (1200 yuan) / replacement (replacement price 3500 yuan) costs, the fair market value, and a suggested starting price for residual value (recycling price 800 yuan). The cloud-based expert network appraisal module is a modern appraisal model that integrates remote collaboration, digital processes, and authoritative endorsement. At its core, it completely migrates the traditional offline expert appraisal process to the online cloud for reconstruction and optimization. Typically, the appraisal of transported products begins with a request from the carrier company, which, after review, matches suitable experts from the cloud-based expert database. Electronic versions of relevant materials are transmitted to the experts for pre-review. Online implementation and collaboration: all parties gather online via video conferencing and other methods. Experts can remotely inquire about the situation, examine physical evidence or the scene via high-definition cameras, and the entire process is recorded. Report formation and issuance: Experts form their opinions based on remote examination and discussion. The report is issued using an authoritatively certified electronic signature (often combined with facial recognition technology to ensure the user is the actual person) and utilizes blockchain technology to generate a unique hash value for evidence storage; any tampering will be detected.Delivery and Verification: The generated electronic appraisal report (e.g., in PDF format) will be sent to the client via a secure link. The recipient can verify the completeness and authenticity of the report by entering the case number or verification code on the official platform.

[0026] In one embodiment of the present invention, the step of calculating the value of the transported products based on the regional division of the transported products, the classification of damage levels, and the estimated repair costs includes: The transported products are divided into N regions; Weight w is applied to each segmented region i. i The allocation and damage level classification yield the damage level L for each region. i ; By V 残值 = The residual value V of the transported products is obtained. 残值 ; By V 损 =VV 残值 The value loss V of the transported products is obtained. 损 ; Based on the damage level L of each area i The estimated repair cost is used to obtain the repair cost R of the transported product. Where V represents the original value of the transported product; and w is the weight of each region i of the transported product. i 0≤w i ≤1 and the sum of the weights of each region i is 1; 0≤L i ≤1.

[0027] In this embodiment, the value calculation of the transported product mainly involves calculating the residual value, the value of the loss, and the estimated repair cost. This requires dividing the transported product into sections, which can be based on the different functions of the components or the importance of their parts. For example, if the transported product is a mobile phone, it can be divided into areas such as the screen, motherboard, battery, and casing. If the transported product is an antique vase, it can be divided into areas such as the mouth, neck, body, and bottom. Each section is assigned a weight (the weight can be determined through cost analysis, value proportion, or expert experience) and a damage level classification (intact: 0; minor damage: 0.1~0). 0.3; Moderate damage: 0.4~0.6; Severe damage: 0.7~0.9; Complete damage: 1.0). Damage levels can be classified as intact, slightly damaged, severely damaged, and completely damaged. Repair cost estimation can be the cost of repairing or replacing each area. The residual value of the transported product is calculated using the weighted damage coefficient method to determine the residual value of the current damaged state. The residual value of the transported product can be calculated by subtracting the residual value from the original value of the transported product. The repair cost R (the total cost of restoring the item to its intact state) is obtained by estimating the repair cost based on the damage level of each area after division. For example, if the product being transported is a mobile phone, which is damaged during transport and its original value is 5000 yuan, the following area segmentation and weighting are applied: screen w1=0.4; motherboard w2=0.3; battery w3=0.2; casing w4=0.1. Damage levels and coefficients are as follows: screen: severely damaged L1=0.8, motherboard: slightly damaged L2=0.1, battery: moderately damaged L3=0.4, casing: intact L4=0. The residual value of the transported product is then calculated as follows: V 残值 =5000×[0.4×(1−0.8)+0.3×(1−0.1)+0.2×(1−0.4)+0.1×(1−0)] =5000×[0.4×0.2+0.3×0.9+0.2×0.6+0.1×1] =5000×[0.08+0.27+0.12+0.1] =5000 × 0.57 = 2850 yuan; V 损失 =5000−2850=2150 yuan; Repair cost estimate: Assume total repair cost R=2000 yuan (screen replacement 1500, motherboard repair 300, battery replacement 200). R (2000 yuan) and V 损失 The value of 2150 yuan is close, indicating that the calculation result is reasonable. The repair cost is slightly lower than the loss value, and the value of the item after repair can be close to the original value, but the current residual value is still 2850 yuan.

[0028] In one embodiment of the present invention, the step of generating a compensation strategy based on the declared value information and the appraisal report includes: The appraisal report includes information on at least one of the following: the authenticity of the transported product, the level of damage, the depreciation rate, the repair cost, the fair market value, and the starting price for the residual value. The compensation amount is calculated based on the insurance value information and appraisal report of the transported products. Based on the calculation results and the user's appeal conditions, analyze the compensation gap and / or the feasibility of compensation strategies; The analysis results will be output and a compensation strategy will be generated.

[0029] In this embodiment, authenticity result: confirming whether the item is genuine is the prerequisite for all value assessments. Damage level: professionally classifying the degree of damage (e.g., minor scratches, severe breakage, complete destruction) is key to determining the proportion of loss. Depreciation rate: the percentage decrease in the market value of the item due to damage. For example, a perfectly restored antique may still have some value depreciation. Repair cost: the estimated cost required to restore the item to an acceptable condition. Fair market price: the reasonable trading price of similar items on the open market on the appraisal benchmark date. Residual value starting bid: for severely damaged or irreparable items, the remaining portion may still have some value; this price can serve as a reference starting point for disposal. The compensation amount can be calculated using the formula: Compensation Amount = min(Insured Amount, Market Fair Value) × (Loss Ratio or Repair Cost / Market Fair Value). It's important to note the following scenarios regarding insured value: **Full Insured:** When the insured amount is greater than or equal to the market fair value, compensation is usually based on the actual loss as determined in the appraisal report (e.g., repair costs or value loss calculated based on the depreciation rate). **Uninsured:** When the insured amount is less than the market fair value, the compensation amount will be discounted proportionally. The formula is: Compensation Amount = Loss Value × (Insured Amount / Market Fair Value). **No Insured:** Usually, only a very low basic compensation is received, such as calculated based on a multiple of the freight cost. When analyzing compensation discrepancies and the feasibility of strategies, a gap analysis can be performed first. The system will compare the "market fair value" in the appraisal report with the user's "insured amount" to clarify whether the discrepancy stems from "underinsured" or "different assessments of the loss extent." Simultaneously, it will verify whether the user's complaint complies with the insurance terms (e.g., whether it falls within the exclusions). Strategy Feasibility Analysis: Based on gap analysis, the system will evaluate the feasibility and potential outcomes of different appeal strategies. For example, if the appraisal report fully supports our claim and the other party's damage assessment is clearly unreasonable, then the "insist on the original claim" strategy is highly feasible. If there are ambiguities in liability definition, a compromise through negotiation can be chosen. If the focus of the dispute involves highly specialized areas, online third-party experts can be brought in for review. For instance, with full insurance coverage, if the user insures the camera for 5000 yuan (equal to or higher than the fair market value), the system's calculated compensation amount might be the repair cost (1500 yuan) or the value loss calculated directly based on the depreciation rate (5000 yuan × 60% = 3000 yuan). Following the principle of benefiting the user or the insurance terms, the higher 3000 yuan compensation might be chosen. Since the compensation amount is close to or may even exceed the residual value, the strategy might suggest "repair and compensate for depreciation loss" or "directly compensate for total loss and recover the residual value."If the claim is underinsured: The user only insured 2000 yuan (below the fair market value), the compensation will be calculated proportionally: Compensation Amount = Loss Value × (Insured Amount / Fair Market Value) = 3000 yuan × (2000 / 5000) = 1200 yuan. The compensation calculation details clearly list the basis and process for each item. Compensation Gap Analysis: If the user's claimed amount is 2000 yuan, but the system's verified amount is 1200 yuan, the report will explain that the difference stems from "underinsurance." Feasibility Strategy Recommendations: Based on the analysis results, the most reasonable and efficient solution will be provided, such as suggesting negotiating a compromise amount to quickly resolve the dispute.

[0030] In one embodiment of the present invention, the step of negotiating compensation with the user and executing the compensation process through the compensation negotiation module includes: The language processing module engages in negotiation and question-and-answer sessions with users to understand their emotional inclinations and demands. Identify and analyze users' emotional tendencies and needs; The compensation strategy was adjusted based on the analysis results, and a settlement agreement was generated. Verify the terms and compensation amount of the generated settlement agreement; The user confirms the verified settlement agreement. If the user confirms, the compensation process begins and the case is closed. If the user is unsure, mark the status and transfer the application to the manual review platform; The compensation process will be re-negotiated with the user using the AINS algorithm until the user confirms and executes the compensation procedure.

[0031] In this embodiment, the language processing module (possibly an NLP module) is used to engage in dialogue with the user (possibly through text or speech-to-text conversion). Through question-and-answer sessions with the user, it analyzes the user's emotions (such as anger, calm, or anxiety) and demands (such as requests for full compensation, apologies, or expedited processing) and automatically responds using 128 different script templates. This transforms emotional tendencies and demands into structured data for the system to understand and process. The compensation strategy generated by the claims module can be dynamically adjusted based on the user's emotions and demands. For example, if the user is emotionally agitated and their demands are reasonable, the system may add compensation to the existing strategy (such as offering coupons or appropriately increasing the compensation amount) to ensure a smooth transaction. To appease users, the system generates a settlement agreement (including compensation amount, compensation method, disclaimers, etc.) based on the adjusted strategy. It automatically checks the legality and compliance of the settlement agreement's terms, ensuring the compensation amount is within the authorized scope to avoid errors or risks. The settlement agreement is sent to the user for confirmation (e.g., signing or clicking "agree" on the app). After user confirmation, the system automatically triggers the compensation process (e.g., financial payment) and closes the case. If there is significant dispute or user dissatisfaction (e.g., disagreeing with the compensation amount or having questions about the terms), the system marks the case status (e.g., "negotiation failed" or "requires human intervention") and transfers the case to a human customer service representative or claims specialist. (AINS algorithm, AI negotiation system) AINS stands for Negotiation System. When a user is unsure, the system doesn't immediately transfer the case to a human agent. Instead, the AINS algorithm negotiates with the user again (potentially adjusting strategies and generating a new settlement agreement), repeating this process until the user agrees or the maximum number of attempts is reached. If the user still disagrees after multiple attempts, it may eventually transfer the case to a human agent. AINS continuously optimizes its algorithm model, iterating negotiation strategies through deep learning to improve the success rate of the first negotiation. It also supports multilingual services to meet the communication needs of users in different regions, comprehensively improving customer experience and claims efficiency. On the other hand, the built-in negotiation module in the claims module learns from 23,000 logistics and transportation case judgments, 800 typical precedents, and corresponding judicial interpretations. Through a deep reinforcement learning model with a four-dimensional reward function, the negotiation module effectively controls the number of negotiation rounds while ensuring reasonable compensation amounts, improving customer satisfaction and mitigating public opinion risks. Its built-in legal and psychological modules are deeply integrated, allowing real-time access to the case library during negotiations to accurately identify customer emotional tendencies and adjust communication strategies. Furthermore, ChatBot-Negotiator supports both voice and text interaction, adapting to telephone, online customer service, and mobile apps. Through multiple communication channels and by continuously accumulating negotiation data and optimizing algorithms, the negotiation module can gradually improve the success rate and efficiency of negotiations, and reduce the operating costs of enterprises.

[0032] In one embodiment of the present invention, the residual value registration and / or auction disposal of the carrier products for which the compensation process has been completed and the case has been closed includes: The residual value of the transported products is registered through the residual value disposal module after the case is closed; The residual value of the transported products is processed and a residual value NFT is generated by using an RFID weighing module and taking pictures. By issuing a bidding announcement, a bidding price is set for the carrier products after residual value processing, and bidding is conducted. After the bidding, the settlement will be carried out automatically, and the bidding proceeds will be used to offset the compensation amount.

[0033] In this embodiment, after a claim is closed, the residual value processing module registers the residual value information of the goods, including goods description, damage details, and appraisal reports, forming a digital residual value asset file. RFID (Radio Frequency Identification) technology is used to identify and track the residual goods, ensuring a one-to-one correspondence between the physical item and the digital asset. A weighing module automatically records the weight of the residual goods, and a photography module takes multi-angle photos; this data is uploaded to the system. Based on this data (including photos, weight, and description), the system generates a unique digital certificate, namely a residual value NFT. This NFT represents ownership of the residual goods and contains detailed information about them. The residual value NFT is published on internal or external bidding platforms, and bidding rules are set (such as starting price, increment, and bidding time). Potential buyers (such as recyclers and secondhand dealers) can view the goods information corresponding to the residual value NFT and participate in the bidding. After the bidding ends, the highest bidder is automatically determined, and the settlement process is completed. Settlement may involve a payment system to ensure fund transfer. The proceeds from the auction are automatically recorded in the original claim, offsetting the previously paid compensation. This reduces the carrier's net loss. For example, consider a damaged laptop. After the claim is settled, the carrier acquires ownership of the computer. A residual value NFT is generated using RFID and photographic weighing, and auctioned on a platform starting at 1000 yuan. After bidding, it sells for 1500 yuan. Automatic settlement uses the 1500 yuan proceeds to offset the 5000 yuan previously paid to the customer, reducing the carrier's net loss in this claim to 3500 yuan. Furthermore, generating a residual value NFT digitizes the residual asset, facilitating its circulation in the secondary market and potentially attracting more investors to participate in the auction, further unlocking its residual value. It's important to note that this process involves the integration of multiple technological modules, including the Internet of Things (RFID, weighing, photographing), blockchain (NFT generation and trading), and the auction system.

[0034] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps. Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0035] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0036] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A loss reduction system based on damaged parts in logistics transportation, characterized in that, The loss reduction system based on damaged parts in logistics transportation includes: The processing module is used to preprocess the transportation information of the transported products; The insurance module is used to generate insurance information for the transported products based on the pre-processed transport information. The risk assessment module is used to conduct risk assessment based on the preprocessed carrier information and output disposal information based on the risk assessment results. The appraisal module is used to appraise value based on the results of risk assessment and / or incident information and generate an appraisal report; The claims module is used to generate a compensation strategy based on the insured value information and the appraisal report, and to negotiate the claims with the user and execute the compensation process through the claims negotiation module. The residual value disposal module is used to register and / or auction off the residual value of the carrier products that have completed the compensation process and been closed.

2. The loss reduction system based on damaged parts in logistics according to claim 1, characterized in that, The step of generating insurance information for the transported products based on the preprocessed transport information includes: The XGBoost-LSTM fusion algorithm is used to extract information features from the acquired carrier information data to obtain information on at least one of the following: the category, weight, origin, and destination of the carrier product. A value insurance rate table is generated based on at least one of the following information: the type of goods being transported, weight, place of origin, and destination. The insurance premium for the transported products is calculated using the insurance premium rate table. The product quotation module allows you to quote a price for the products you wish to transport and obtain the shipping costs.

3. The loss reduction system based on damaged parts in logistics according to claim 1, characterized in that, The risk assessment based on the preprocessed carrier information includes: The information processing module extracts order features, image features, and at least one feature from the on-chain history from the preprocessed shipping information. Anomaly detection is performed on the extracted feature information; Conduct risk assessment on the results of anomaly identification of feature information; The anomaly identification results include fraud identification results for the carrier information and fragility identification results for the carrier products.

4. The loss reduction system based on damaged parts in logistics according to claim 1, characterized in that, The output of disposal information based on the risk assessment results includes: Based on the results of risk assessment, information on pre-carrying handling and / or post-accident handling is provided for the transported products. The pre-shipment handling information includes: whether the shipment is being processed normally, whether the packaging is reinforced and video recorded, whether the package is opened for inspection and video recorded, and whether pickup is suspended and manual audit is conducted. The post-accident reporting handling information involves classifying the transported order as low-risk, medium-risk, or high-risk.

5. The loss reduction system based on damaged parts in logistics according to claim 1, characterized in that, The process of value assessment and generating an assessment report based on the results of risk assessment and / or incident information includes: Obtain photos, videos, and / or text descriptions of the damaged parts of the carrier's products after risk assessment and handling, and / or after an incident. The image recognition module identifies photos, videos, and / or text descriptions of the damaged parts of the transported products. Based on the recognition results, the damaged area of ​​the transported product is segmented using the CNN+Attention algorithm. The segmentation results are then used to classify the damage level of the transported product and estimate the repair cost. The value of the transported products is calculated based on the regional division of the transported products, the classification of damage levels, and the estimated repair costs. The value of an item is assessed using the knowledge graph module; The identification is conducted through an expert network identification module, and an identification report is generated.

6. The loss reduction system based on damaged parts in logistics according to claim 5, characterized in that, The valuation of the transported products based on regional segmentation, damage level classification, and repair cost estimation results includes: The transported products are divided into N regions; Weight w is applied to each segmented region i. i The allocation and damage level classification yield the damage level L for each region. i ; By V 残值 = The residual value V of the transported products is obtained. 残值 ; By V 损 =VV 残值 The value loss V of the transported products is obtained. 损 ; Based on the damage level L of each area i The estimated repair cost is used to obtain the repair cost R of the transported product. Where V represents the original value of the transported product; and w is the weight of each region i of the transported product. i 0≤w i ≤1 and the sum of the weights of each region i is 1; 0≤L i ≤1.

7. The loss reduction system based on damaged parts in logistics according to claim 1, characterized in that, The compensation strategy generated based on the declared value information and the appraisal report includes: The appraisal report includes information on at least one of the following: the authenticity of the transported product, the level of damage, the depreciation rate, the repair cost, the fair market value, and the starting price for the residual value. The compensation amount is calculated based on the insurance value information and appraisal report of the transported products. Based on the calculation results and the user's appeal conditions, analyze the compensation gap and / or the feasibility of compensation strategies; The analysis results will be output and a compensation strategy will be generated.

8. The loss reduction system based on damaged parts in logistics according to claim 1, characterized in that, The process of negotiating claims with users and executing compensation through the claims negotiation module includes: The language processing module engages in negotiation and question-and-answer sessions with users to understand their emotional inclinations and demands. Identify and analyze users' emotional tendencies and needs; The compensation strategy is adjusted based on the analysis results, and a settlement agreement is generated. Verify the terms and compensation amount of the generated settlement agreement; The user confirms the verified settlement agreement. If the user confirms, the compensation process begins and the case is closed. If the user is unsure, mark the status and transfer the application to the manual review platform; The compensation process will be re-negotiated with the user using the AINS algorithm until the user confirms and executes the compensation procedure.

9. The loss reduction system based on damaged parts in logistics according to claim 1, characterized in that, The residual value registration and / or auction disposal of carrier products that have completed the compensation process and been closed includes: The residual value of the transported products is registered through the residual value disposal module after the case is closed; The residual value of the transported products is processed and a residual value NFT is generated by using an RFID weighing module and taking pictures. By issuing a bidding announcement, a bidding price is set for the carrier products after residual value processing, and bidding is conducted. After the bidding, the settlement will be carried out automatically, and the bidding proceeds will be used to offset the compensation amount.

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