Commodity warehouse logistics intelligent scheduling system for e-commerce platform

Abstract

The invention discloses a commodity warehouse logistics intelligent scheduling system for an e-commerce platform, and relates to the field of commodity warehouse logistics intelligent scheduling for the e-commerce platform, and the system comprises a data collection module, a financial analysis module, a market analysis module, a grading calculation module, an inventory early warning module and a distribution matching module. The financial net present value score value, the electronic commodity financial performance value score value, the electronic commodity market priority value score value and the beneficiated commodity level set are obtained according to the financial information and the market sales information of the electronic commodities, and then the weekly required stock of the warehouse is obtained by analyzing and judging the stock information of the electronic commodities. Through analysis of distribution information of a distribution unit, a distribution alternative level set is obtained, and corresponding early warning and alarm of stock and replenishment are obtained through analysis, various financial and market information of electronic commodities can be comprehensively considered, an alarm is given when stock and stockout abnormity occurs in the commodities, and the corresponding distribution alternative level set is matched.

Description

Technical Field

[0001] The present invention relates to the field of intelligent scheduling of commodity warehousing and logistics for e-commerce platforms, and specifically to an intelligent scheduling system for commodity warehousing and logistics for e-commerce platforms. Background Art

[0002] With the continuous development of society and economy, people's demand for procurement is increasing, and the development of e-commerce is also developing with people's needs. However, with the development of e-commerce, the problem of commodity warehousing and logistics has become more and more prominent, and the commodity warehousing and logistics intelligent scheduling system for e-commerce platforms has emerged.

[0003] When operating, the traditional intelligent scheduling system for commodity warehousing and logistics used in e-commerce platforms cannot take into account the financial net present value and inventory turnover rate of electronic commodities, nor can it take into account the volatility of the technical value of electronic commodities and the supply of electronic commodities over time. It is even more unable to identify out-of-stock and overstock problems in a timely manner, resulting in the situation where electronic commodities are often out of stock during the best-selling period and a large amount of electronic products with low technical value and poor sales are stored in stock, which increases the inventory costs of e-commerce and reduces the sales volume of e-commerce.

[0004] The traditional intelligent dispatching system for commodity warehousing and logistics used in e-commerce platforms cannot take into account the delivery level of the distribution units during operation, resulting in the failure to deliver electronic products with high profits, new technologies and good supply in a timely, damage-free and safe manner. It also increases consumer complaints against e-commerce platforms, which in turn affects the reputation and sales of e-commerce.

[0005] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0006] In order to solve the technical problems raised by the above background technology, the present invention is proposed. An embodiment of the present invention provides a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform.

[0007] The purpose of the present invention can be achieved through the following technical solutions: a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform, comprising a data acquisition module, a financial analysis module, a market analysis module, a grading calculation module, an inventory warning module and a distribution matching module.

[0008] The data collection module is used to collect the financial information, market sales information, inventory information and delivery unit delivery information of electronic goods, and send it to the financial analysis module, market analysis module, classification calculation module and delivery matching module;

[0009] The financial analysis module is used to receive the financial information of each electronic product, and perform analysis and processing on the financial performance of the electronic product based on the information, and send the information to the classification calculation module;

[0010] The market analysis module is used to receive the electronic goods market information, and perform the electronic goods market performance determination analysis and processing accordingly, and send it to the classification calculation module;

[0011] The grading calculation module is used to receive the electronic product financial net present value score, the electronic product financial performance value score and the electronic product market superiority value score, and determine the level of the profit-making product set based on the score; receive the electronic product inventory information, and obtain the weekly inventory required by the warehouse based on the score, and send it to the inventory warning module and the distribution matching module;

[0012] The inventory warning module is used to receive the profit-selling commodity set and the weekly inventory required by the warehouse, and analyze and obtain corresponding warnings and alarms;

[0013] The delivery matching module is used to receive the delivery information of the delivery unit, and make judgment and analysis on the delivery value of the delivery unit based on the information; receive the commodity profit and sales level set, and make a two-way match with the delivery candidate set.

[0014] Furthermore, the analysis of the electronic product financial performance determination and analysis process is as follows:

[0015] Obtain the amount of cash inflow and cash outflow of electronic products in each month, and analyze to obtain the financial net present value (FNPV) of electronic products;

[0016] The financial net present value of electronic products is assigned points, and the initial value of electronic products is X1, X2, and X3 points according to different situations;

[0017] The financial net present value of electronic products in each month is calculated according to the formula, and a time-financial net present value curve is established. Tangent processing is performed on the curve of the financial net present value coordinate points of each month, and the slope of each tangent is measured. When the tangent slope is greater than zero, it is calculated as a positive slope ZXt, and when the tangent slope is less than zero, it is calculated as a negative slope FXt. According to the set formula Get the positive growth rate of the net present value of electronic products χ, e is a natural constant, μ is a set correction factor, t is the number of the month in the data, t = 1, 2, 3...T, T is the maximum value of the month number and is a positive integer;

[0018] Obtain the production cost, transportation cost and sales cost of electronic products in each month, the inventory cost at the end of each month and the inventory cost at the beginning of each month, and analyze and obtain the electronic product inventory management coefficient KX;

[0019] The net present value positive growth rate χ of electronic goods and the electronic goods inventory management coefficient KX are constructed according to the graph, and the financial performance value of electronic goods is obtained by analysis;

[0020] Set the gradient reference intervals Q1, Q2, and Q3 for the financial performance values ​​of electronic products, and substitute the financial performance values ​​of each electronic product into the preset gradient reference intervals Q1, Q2, and Q3 for comparative analysis, and obtain different additional scores for electronic products as X1, X2, and X3.

[0021] Furthermore, the analysis of the electronic product market performance determination and analysis process is as follows:

[0022] Set the initial technical value of the electronic product as Vo, and analyze to obtain the technical value of the electronic product V;

[0023] Obtain the sales volume XSt of electronic products in each month, establish a time-sales volume change curve, and analyze to obtain the sales volume change trend value XB of electronic products;

[0024] Obtain the average duration of electronic product shortages by suppliers within a period of time, the maximum supply quantity of suppliers corresponding to electronic products, and analyze to obtain the electronic product supply deviation value DB;

[0025] Normalize the electronic product technology value V, the electronic product sales volume trend value XB and the electronic product supply deviation value DB and substitute them into the set formula To obtain the electronic product market superiority value TJZ, where α and β are the preset weight coefficients of the sum of the electronic product sales volume trend value and the electronic product supply bias value and the preset weight coefficient of the electronic product technology value respectively;

[0026] A complete reference threshold tv1 of the electronic product market priority value is set, and each electronic product market priority value is compared and analyzed with the preset complete reference threshold tv1, and the corresponding electronic product additional values ​​are obtained as X1, X2 and X3 points respectively.

[0027] Furthermore, the analysis of the determination of the level of profit-making products is as follows:

[0028] The financial net present value score, the electronic product financial performance score and the electronic product market priority score of each electronic product are added together to obtain the total score of each electronic product. The electronic products are graded according to the total score. When the total score is 3X3 or X2+2X3, the corresponding electronic product is classified into the first-level profitable product set B1. When the total score is 2X2+X1 or 2X1+X3 or X1+X2+X3 or 3X2 or 2X2+X3 or 2X3+X1, the corresponding electronic product is classified into the second-level profitable product set B2. When the total score is 3X1 or 2X1+X2, the corresponding electronic product is classified into the third-level profitable product set B3.

[0029] Further, the analysis of the corresponding warnings and alarms is as follows:

[0030] The current inventory of the warehouse is compared with the weekly inventory required by the warehouse to obtain the warehouse inventory demand factor Z;

[0031] If the electronic product is a first-level profitable product set B1 and Z≤z1, the system issues a warning and an alarm, and issues a label 1; if the electronic product is a second-level profitable product set B2 and Z≤z2, the system issues a warning and an alarm, and issues a label 1; if the electronic product is a third-level profitable product set B3 and Z≤z3, the system issues a warning and an alarm, and issues a label 1, where z1>z2>z3;

[0032] If the electronic product belongs to the first-level profit-making product set B1 and Z≥z4, the system will issue a warning and an alarm, and issue Label 2; if the electronic product belongs to the second-level profit-making product set B2 and Z≥z5, the system will issue a warning and an alarm, and issue Label 2; if the electronic product belongs to the third-level profit-making product set B3 and Z≥z6, the system will issue a warning and an alarm, and issue Label 2, where z4>z5>z6.

[0033] Furthermore, the delivery unit delivery value is subjected to determination analysis, and the specific analysis is as follows:

[0034] Get the delivery time PT of each delivery personnel in the delivery unit within a week, analyze and get the proportion of first-level delivery personnel, second-level delivery personnel and third-level delivery personnel in the total number of delivery personnel in the delivery unit, which are counted as PS1, PS2 and PS3 respectively; get the damage rate SL and loss rate DL of the goods in the delivery unit over a period of time, normalize the proportion of first-level delivery personnel PS1, the proportion of third-level delivery personnel PS1, the damage rate SL and the loss rate DL of the goods, and use the set formula Get the distribution unit distribution value PSZ, f3 and f4 are the set influencing factors, and the specific values ​​are determined by this professional field;

[0035] The delivery value PSZ of the delivery unit is compared with the set delivery value reference threshold. When the delivery value of the delivery unit is greater than the set delivery value reference threshold, it corresponds to the first-level delivery alternative set A1; when the delivery value of the delivery unit is equal to the set delivery value reference threshold, it corresponds to the second-level delivery alternative set A2; when the delivery value of the delivery unit is less than the set delivery value reference threshold, it corresponds to the third-level delivery alternative set A3.

[0036] Furthermore, the specific analysis of the two-way matching is as follows:

[0037] Match the commodity profit and sales level set with the distribution alternative set. If the electronic commodity is in the first-level commodity profit and sales level set B1, then the first-level distribution alternative set A1 is selected. When the electronic commodity is in the second-level commodity profit and sales level set B2, then the second-level distribution alternative set A2 is selected. When the electronic commodity is in the third-level commodity profit and sales level set B3, then the third-level distribution alternative set A3 is selected.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1. The present invention obtains a financial net present value score, an electronic product financial performance score, an electronic product market superiority score and a profitable product level set through the financial information and market sales information of electronic products, and then obtains the weekly inventory required for the warehouse and a distribution alternative level set through analysis and determination of the electronic product inventory information, and obtains corresponding early warnings and alarms for inventory and replenishment, which can consider the financial net present value of electronic products and the inventory turnover rate of electronic products, as well as the volatility of the technical value of electronic products over time and the supply of electronic products, and can more timely identify the problems of out-of-stock and over-stock, reduce the situation that electronic products are often out of stock during the best-selling period and the situation that a large number of electronic products with low technical value and poor sales are in stock, greatly reduce the inventory cost of e-commerce and increase the sales volume of e-commerce.

[0040] 2. The present invention obtains a set of alternative delivery levels by analyzing the delivery information of the delivery units, and matches the corresponding set of alternative delivery levels. It can take into account the delivery level of the delivery units, ensure timely, damage-free and safe delivery of electronic products with high profits, new technologies and good supply, and reduce consumer complaints about e-commerce platforms, thereby improving the reputation and sales of e-commerce. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0042] Figure 1 is a system block diagram of the present invention;

[0043] Figure 2 It is a sales volume change diagram of the present invention. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0045] like Figure 1-Figure 2 As shown, a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform includes a data collection module, a financial analysis module, a market analysis module, a grading calculation module, an inventory warning module and a distribution matching module.

[0046] The data collection module is used to collect electronic product financial information, market sales information, inventory information and distribution unit delivery information, and send it to the financial analysis module, market analysis module, grading calculation module and distribution matching module.

[0047] The financial analysis module is used to receive the financial information of each electronic product and perform analysis and processing on the financial performance of the electronic product based on the information. The specific operation process is as follows:

[0048] Get the amount of cash inflow and cash outflow of electronic products in each month, which are recorded as CIt and COt respectively. t is the number of the month in the data, t = 1, 2, 3...T, T is the maximum value of the month number and is a positive integer. The cash inflow is the sales revenue and government subsidies, and the cash outflow is the initial investment, production cost, sales cost, management cost and tax expenditure. According to the set formula The financial net present value FNPV of electronic goods is obtained, where i is the expected discount rate of each e-commerce enterprise;

[0049] It should be noted that the financial net present value takes into account the time value of money and the time distribution of the cash flow of the product in the entire collected data; when the financial net present value FNPV is greater than 0, it means that the excess profit of the electronic product is greater than zero, and the preset discount rate is exceeded; when the financial net present value FNPV is equal to 0, it means that the electronic product just meets the preset discount rate; when the financial net present value FNPV is less than 0, it means that the electronic product does not reach the pre-set financial profit level.

[0050] The financial net present value of the electronic product is assigned points. When the financial net present value of the electronic product is greater than zero, the corresponding electronic product is initially assigned a value of X3 points; when the financial net present value of the electronic product is equal to zero, the corresponding electronic product is initially assigned a value of X2 points; when the financial net present value of the electronic product is less than zero, the corresponding electronic product is initially assigned a value of X1 points, where X3≥X2≥X1.

[0051] The financial net present value of electronic products in each month is calculated according to the formula, and a time-financial net present value curve is established. Tangent processing is performed on the curve of the financial net present value coordinate points of each month, and the slope of each tangent is measured. When the tangent slope is greater than zero, it is calculated as a positive slope ZXt, and when the tangent slope is less than zero, it is calculated as a negative slope FXt. According to the set formula The positive growth rate of the net present value of electronic products χ is obtained, where e is a natural constant, specifically 2.718, and μ is a set correction factor. The larger the positive slope and the smaller the negative slope, the greater the positive growth rate of the net present value of electronic products, and the better the sales prospects of electronic products.

[0052] Obtain the production cost, transportation cost and sales expenses of electronic products in each month, sum them up to get the electronic product sales cost SC, obtain the inventory cost at the end of each month and the inventory cost at the beginning of each month, subtract the two to get the electronic product inventory cost KC of each month, divide the electronic product sales cost SC by the electronic product inventory cost KC of each month to get the electronic product inventory turnover rate of each month, compare the electronic product inventory turnover rate of each month with the set inventory turnover rate reference range, when the electronic product inventory turnover rate of each month is greater than the maximum value of the set inventory turnover rate reference range, then the month corresponds to an excellent month Management turnover. When the monthly inventory turnover rate of electronic products is within the set inventory turnover rate reference interval, the electronic products correspond to good monthly management turnover. When the monthly inventory turnover rate of electronic products is less than the minimum value of the set inventory turnover rate reference interval, the electronic products correspond to inventory month management turnover. The number of months with excellent monthly management turnover and inventory month management turnover is counted as SX and SK respectively, and divided by the total number of months to obtain the total proportion of excellent monthly management turnover months and inventory month management turnover months, which are counted as ZSX and ZSK respectively. According to the set formula The electronic goods inventory management coefficient KX is obtained, where a1 and a2 are set proportional factors, and the specific numbers are determined by professionals in the field.

[0053] The positive growth rate of the net present value of electronic goods χ is converted into a length according to a certain ratio, and the length of the positive growth rate of the net present value of electronic goods χ is the side length of the equilateral triangle to construct an equilateral triangle. The electronic goods inventory management coefficient KX is converted into a length according to a certain ratio, and the length of the electronic goods inventory management coefficient KX is the radius of the sphere to construct a sphere. The center of the sphere coincides with the upper vertex of the equilateral triangle. The non-overlapping volume formed by the sphere and the equilateral triangle is identified and marked as the financial performance value of the electronic goods;

[0054] Setting gradient reference intervals Q1, Q2, and Q3 for the financial performance values ​​of electronic products, and substituting the financial performance values ​​of each electronic product into the preset gradient reference intervals Q1, Q2, and Q3 for comparative analysis, wherein the gradient reference intervals Q1, Q2, and Q3 have values ​​that gradually increase;

[0055] When the financial performance value of the electronic product is within the preset gradient reference interval Q1, the corresponding electronic product will be additionally scored as X1 points; when the financial performance value of the electronic product is within the preset gradient reference interval Q2, the corresponding electronic product will be additionally scored as X2 points; when the financial performance value of the electronic product is within the preset gradient reference interval Q3, the corresponding electronic product will be additionally scored as X3 points, where X3≥X2≥X1.

[0056] The market analysis module is used to receive electronic product market information and perform analysis and processing on the electronic product market performance based on the information. The specific operation process is as follows:

[0057] The initial technical value of electronic products is set to Vo. The specific initial technical value is determined by the technological advancement, functional uniqueness, and performance advantages. The formula for calculating the change of the technical value V of electronic products over time is: Where T1 is the period when the next generation of the electronic product is released, and λ is the depreciation rate of the electronic product;

[0058] It should be pointed out that the depreciation rate of electronic products is calculated as follows:

[0059] The average selling price of the same type of processors of electronic products in each month is obtained, the selling price of each month is compared with the selling price of the previous month, and the maximum and minimum values ​​are removed and the average is taken to obtain the processor depreciation coefficient λ1. Similarly, the depreciation coefficients of storage devices, display screens, and batteries are obtained, which are calculated as λ2, λ3, and λ4 respectively. According to the set formula λ=ω1×λ1+ω2×λ2+ω3×λ3, the depreciation rate λ of the electronic product is obtained, where ω1, ω2, ω3, and ω4 are weight factors set for processors, storage devices, display screens, and batteries, respectively. The specific values ​​are determined by personnel in this professional field, and may be 0.4, 0.3, 0.15, and 0.15, respectively.

[0060] Get the monthly sales volume XSt of electronic products, establish a time-sales volume change curve, connect the sales volume coordinate points of each month with broken lines in sequence, and take the angle formed by each point and the adjacent connected points, such as Figure 2 As shown, when the angle is less than π / 2, the angle is counted as ɑ1, which is respectively counted as the first sales cosine value Xcos2ɑ1 of the data point; when the angle is greater than π / 2 and less than π, the angle is counted as ɑ2, which is respectively counted as the second sales cosine value Xcos2ɑ2 of the data point. According to the formula Get the monthly sales volume of electronic products X, according to the set formula The electronic product sales volume change trend value XB is obtained, where b1, b2 and b3 are the set influencing factors, and the specific values ​​are determined by the professional field. B1 is the reference first sales cosine value of the electronic product, and B2 is the reference second sales cosine value of the electronic product;

[0061] Get the average duration of the out-of-stock supplier supply of electronic products within a period of time. The duration of supplier supply refers to the duration from the warehouse out-of-stock being sent to the supplier to the supplier shipping and the goods arriving at the storage station. Divide a period of time into several sub-times, sort them in the order of the obtained time, count the number of sub-times that are greater than the sub-times that are sorted later, and calculate them as the sub-high duration value. Subtract the average duration of the sub-times sorted later from the average duration of the sub-times sorted earlier to get the sub-difference duration value. Sum the sub-difference duration values ​​to get the sub-difference total duration value. Perform weighted calculation on the sub-high duration value and the sub-difference total duration value, and multiply them by the corresponding impact factors respectively. , and then sum to get the sub-product supply difference; obtain the maximum supply quantity of the supplier corresponding to the electronic product, and make a difference with the set maximum supply quantity of the supplier to get the supplier supply capacity evaluation value; convert the sub-product supply difference value into a length according to a certain ratio, and construct a circle with the length of the sub-product supply difference value as the radius of the circle; convert the supplier supply capacity evaluation value into a length according to a certain ratio, and construct a square inside the circle with the length of the supplier supply capacity evaluation value as the side length of the square, and the center of the square coincides with the center of the circle, identify the area where the square and the circle do not overlap, and mark it as the electronic product supply deviation value DB;

[0062] Normalize the electronic product technology value V, the electronic product sales volume trend value XB and the electronic product supply deviation value DB and substitute them into the set formula To obtain the electronic product market superiority value TJZ, where α and β are the preset weight coefficients of the sum of the electronic product sales volume trend value and the electronic product supply bias value and the preset weight coefficient of the electronic product technology value respectively;

[0063] A complete reference threshold tv1 of the electronic product market superiority value is set, and each electronic product market superiority value is compared and analyzed with the preset complete reference threshold tv1; when the electronic product market superiority value is less than the preset complete reference threshold tv1, the corresponding electronic product is additionally assigned a value of X1 points; when the electronic product market superiority value is equal to the preset complete reference threshold tv1, the corresponding electronic product is additionally assigned a value of X2 points; when the electronic product market superiority value is greater than the preset complete reference threshold tv1, the corresponding electronic product is additionally assigned a value of X3 points;

[0064] The grading calculation module is used to receive the electronic product financial net present value score, the electronic product financial performance value score and the electronic product market superiority value score, and determine the level of the profit-making product set based on this; receive the electronic product inventory information, and obtain the weekly inventory required by the warehouse based on this. The specific analysis is as follows:

[0065] The financial net present value score, the financial performance score and the market superiority score of each electronic product are added together to obtain the total score of each electronic product. The electronic products are graded according to the total score. When the total score is 3X3 or X2+2X3, the corresponding electronic product is graded into the first-level profitable product set B1. When the total score is 2X2+X1 or 2X1+X3 or X1+X2+X3 or 3X2 or 2X2+X3 or 2X3+X1, the corresponding electronic product is graded into the second-level profitable product set B2. When the total score is 3X1 or 2X1+X2, the corresponding electronic product is graded into the third-level profitable product set B3.

[0066] The obtained first-level profitable sales commodity set B1, second-level profitable sales commodity set B2, and third-level profitable sales commodity set B3 are sent to the inventory early warning module and the distribution matching module;

[0067] Get the total sales volume of electronic products in the past year, divide it by the total number of sales days, get the average daily sales volume, multiply it by the number of sales days in a week, get the weekly forecast demand ZD, get the total sales volume of each quarter, multiply it by four and make a ratio with the total sales volume to get the quarterly adjustment factor δ, get the ratio of electronic product returns to sales volume, get the return rate m, analyze the difference between the sales volume of promotional activities and normal sales volume, get the additional impact of promotional activities on sales volume XD, and get the weekly inventory required for the warehouse TSI according to the set formula TSI = (ZD-ZD×m+XD)×δ;

[0068] The inventory warning module is used to receive the collection of profitable and selling goods and the weekly inventory required by the warehouse, and analyze them to obtain corresponding warnings and alarms. The specific analysis is as follows:

[0069] The current inventory of the warehouse is compared with the weekly inventory required by the warehouse to obtain the warehouse inventory demand factor Z;

[0070] If the electronic product is a first-level profit-selling product set B1 and Z≤z1, the system will issue a warning and alarm, and issue a message "The product is out of stock, please ask the staff to replenish it immediately"; if the electronic product is a second-level profit-selling product set B2 and Z≤z2, the system will issue a warning and alarm, and issue a message "The product is out of stock, please ask the staff to replenish it immediately"; if the electronic product is a third-level profit-selling product set B3 and Z≤z3, the system will issue a warning and alarm, and issue a message "The product is out of stock, please ask the staff to replenish it immediately", where z1>z2>z3, specifically Z1 is 1.2-1.3, Z2 is 1.15-1.19, and Z3 is 1.10-1.14;

[0071] If the electronic product is a first-level profit-selling product set B1 and Z≥z4, the system will issue a warning and alarm, and issue a message "The product inventory is too large, please ask the staff to immediately carry out promotional discounts and deal with the inventory as soon as possible"; if the electronic product is a second-level profit-selling product set B2 and Z≥z5, the system will issue a warning and alarm, and issue a message "The product inventory is too large, please ask the staff to immediately carry out promotional discounts and deal with the inventory as soon as possible"; if the electronic product is a third-level profit-selling product set B3 and Z≥z6, the system will issue a warning and alarm, and issue a message "The product inventory is too large, please ask the staff to immediately carry out promotional discounts and deal with the inventory as soon as possible", where z4>z5>z6, specifically Z4 is 2.0-2.2, Z5 is 1.7-1.9, and Z6 is 1.5-1.6;

[0072] The delivery matching module is used to receive the delivery information of the delivery unit and make judgment and analysis on the delivery value of the delivery unit based on it; receive the commodity profit and sales level set and make a two-way match with the delivery candidate set. The specific analysis is as follows:

[0073] Get the delivery time PT of each delivery person in the delivery unit within a week, according to the set formula Get the delivery personnel's timing level value JBZ, f1 and f2 are the set influencing factors, the specific values ​​are determined by this professional field, H1 is the delivery time required by the customer, h is a natural constant, and the delivery personnel's timing level value each time within a week is summed up to get the delivery personnel's total timing level value ZJB. Compare and analyze the delivery personnel's total timing level value with the set total timing level value. When the delivery personnel's total timing level value is greater than the set total timing level value, it corresponds to the first-level delivery personnel. When the delivery personnel's total timing level value is equal to the set total timing level value, it corresponds to It should be the corresponding personnel of the second-level distribution. When the total distribution time level value of the distribution personnel is less than the set total distribution time level value, it corresponds to the corresponding personnel of the third-level distribution, and the proportion of the first-level distribution personnel, the second-level distribution personnel and the third-level distribution personnel in the distribution unit to the total number of distribution personnel is counted, which are respectively counted as PS1, PS2 and PS3; the damage rate SL and loss rate DL of the goods in the distribution unit over a period of time are obtained, and the proportion of the first-level distribution personnel PS1, the proportion of the third-level distribution personnel PS1, the damage rate SL and the loss rate DL of the goods are normalized, and according to the set formula The distribution unit distribution value PSZ is obtained, f3 and f4 are the set influencing factors, and the specific values ​​are determined by this professional field.

[0074] The distribution value PSZ of the distribution unit is compared with the set distribution value reference threshold. When the distribution value of the distribution unit is greater than the set distribution value reference threshold, it corresponds to the first-level distribution candidate set A1; when the distribution value of the distribution unit is equal to the set distribution value reference threshold, it corresponds to the second-level distribution candidate set A2; when the distribution value of the distribution unit is less than the set distribution value reference threshold, it corresponds to the third-level distribution candidate set A3;

[0075] Match the commodity profit and sales level set with the distribution alternative set. If the electronic commodity is in the first-level commodity profit and sales level set B1, then the first-level distribution alternative set A1 is selected. When the electronic commodity is in the second-level commodity profit and sales level set B2, then the second-level distribution alternative set A2 is selected. When the electronic commodity is in the third-level commodity profit and sales level set B3, then the third-level distribution alternative set A3 is selected.

[0076] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. An intelligent scheduling system for commodity warehousing and logistics for e-commerce platforms. It is characterized in that include: The financial analysis module performs analysis and processing on the financial information of each electronic product to determine the financial performance of the electronic product, obtains the initial value and additional score of the electronic product, and sends it to the grading calculation module; The market analysis module performs market performance analysis on the received electronic product market information, obtains additional values ​​for the electronic products, and sends them to the grading calculation module; The grading calculation module determines the level of the profit-making commodity collection based on the electronic commodity financial net present value score, the electronic commodity financial performance value score and the electronic commodity market superiority value score; analyzes the electronic commodity inventory information to obtain the weekly inventory required by the warehouse, and sends it to the inventory warning module and the distribution matching module; The delivery matching module determines and analyzes the delivery value of the delivery unit delivery information; Perform bidirectional matching on the product profit and sales level set and the delivery alternative set.

2. According to claim 1, a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform, It is characterized in that The analysis of the electronic product financial performance determination and analysis process is as follows: Set the gradient reference intervals Q1, Q2, and Q3 for the financial performance values ​​of electronic products, and substitute the financial performance values ​​of each electronic product into the preset gradient reference intervals Q1, Q2, and Q3 for comparative analysis, and obtain different additional scores for electronic products as X1, X2, and X3 points respectively.

3. According to claim 2, a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform, It is characterized in that The analysis of the financial performance value of electronic products is as follows: Obtain the amount of cash inflow and cash outflow of electronic products in each month, and analyze to obtain the financial net present value (FNPV) of electronic products; The financial net present value of electronic products is assigned points, and the initial value of electronic products is X1, X2, and X3 points according to different situations; The financial net present value of electronic products in each month is calculated according to the formula, and a time-financial net present value curve is established. Tangent processing is performed on the curve of the financial net present value coordinate points of each month, and the slope of each tangent is measured. When the tangent slope is greater than zero, it is calculated as a positive slope ZXt, and when the tangent slope is less than zero, it is calculated as a negative slope FXt. According to the set formula Get the positive growth rate of the net present value of electronic products χ, e is a natural constant, μ is a set correction factor, t is the number of the month in the data, t = 1, 2, 3...T, T is the maximum value of the month number and is a positive integer; Obtain the production cost, transportation cost and sales cost of electronic products in each month, the inventory cost at the end of each month and the inventory cost at the beginning of each month, and analyze and obtain the electronic product inventory management coefficient KX; The net present value positive growth rate χ of electronic goods and the electronic goods inventory management coefficient KX are constructed graphically, and the financial performance value of electronic goods is obtained through analysis.

4. According to claim 1, a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform, It is characterized in that The analysis of the electronic product market performance determination and analysis process is as follows: Set the initial technical value of the electronic product as Vo, and analyze to obtain the technical value of the electronic product V; Obtain the sales volume XSt of electronic products in each month, establish a time-sales volume change curve, and analyze to obtain the sales volume change trend value XB of electronic products; Obtain the average duration of electronic product shortages by suppliers within a period of time, the maximum supply quantity of suppliers corresponding to electronic products, and analyze to obtain the electronic product supply deviation value DB; Normalize the electronic product technology value V, the electronic product sales volume trend value XB and the electronic product supply deviation value DB and substitute them into the set formula To obtain the electronic product market superiority value TJZ, where α and β are the preset weight coefficients of the sum of the electronic product sales volume trend value and the electronic product supply bias value and the preset weight coefficient of the electronic product technology value respectively; A complete reference threshold tv1 of the electronic product market priority value is set, and each electronic product market priority value is compared and analyzed with the preset complete reference threshold tv1, and the corresponding electronic product additional values ​​are obtained as X1, X2 and X3 points respectively.

5. According to claim 1, a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform, It is characterized in that The analysis of the determination of the level of the profit-making commodity set is as follows: The financial net present value score, the electronic product financial performance score and the electronic product market priority score of each electronic product are added together to obtain the total score of each electronic product. The electronic products are graded according to the total score. When the total score is 3X3 or X2+2X3, the corresponding electronic product is classified into the first-level profitable product set B1. When the total score is 2X2+X1 or 2X1+X3 or X1+X2+X3 or 3X2 or 2X2+X3 or 2X3+X1, the corresponding electronic product is classified into the second-level profitable product set B2. When the total score is 3X1 or 2X1+X2, the corresponding electronic product is classified into the third-level profitable product set B3.

6. According to claim 1, a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform, It is characterized in that The distribution unit distribution value is determined and analyzed, and the specific analysis is as follows: Get the delivery time PT of each delivery personnel in the delivery unit within a week, analyze and get the proportion of first-level delivery personnel, second-level delivery personnel and third-level delivery personnel in the total number of delivery personnel in the delivery unit, which are counted as PS1, PS2 and PS3 respectively; get the damage rate SL and loss rate DL of the goods in the delivery unit over a period of time, normalize the proportion of first-level delivery personnel PS1, the proportion of third-level delivery personnel PS1, the damage rate SL and the loss rate DL of the goods, and use the set formula Get the distribution unit distribution value PSZ, f3 and f4 are the set influencing factors, and the specific values ​​are determined by this professional field; The delivery value PSZ of the delivery unit is compared with the set delivery value reference threshold. When the delivery value of the delivery unit is greater than the set delivery value reference threshold, it corresponds to the first-level delivery alternative set A1; when the delivery value of the delivery unit is equal to the set delivery value reference threshold, it corresponds to the second-level delivery alternative set A2; when the delivery value of the delivery unit is less than the set delivery value reference threshold, it corresponds to the third-level delivery alternative set A3.

7. According to claim 1, a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform, It is characterized in that The specific analysis of the two-way matching is as follows: Match the commodity profit and sales level set with the distribution alternative set. If the electronic commodity is in the first-level commodity profit and sales level set B1, then the first-level distribution alternative set A1 is selected. When the electronic commodity is in the second-level commodity profit and sales level set B2, then the second-level distribution alternative set A2 is selected. When the electronic commodity is in the third-level commodity profit and sales level set B3, then the third-level distribution alternative set A3 is selected.

8. According to claim 1, a commodity warehousing and logistics intelligent scheduling system for an e-commerce platform, It is characterized in that It also includes a data collection module, which is used to collect electronic product financial information, market sales information, inventory information and distribution unit delivery information, and send it to the financial analysis module, market analysis module, classification calculation module and distribution matching module; The inventory warning module is used to receive the collection of profitable and selling goods and the weekly inventory required by the warehouse, and analyze them to obtain corresponding warnings and alarms.

9. The intelligent scheduling system for commodity warehousing and logistics for e-commerce platforms according to claim 8, It is characterized in that The analysis of the corresponding warnings and alarms is as follows: The current inventory of the warehouse is compared with the weekly inventory required by the warehouse to obtain the warehouse inventory demand factor Z; If the electronic product is a first-level profitable product set B1 and Z≤z1, the system issues a warning and an alarm, and issues a label 1; if the electronic product is a second-level profitable product set B2 and Z≤z2, the system issues a warning and an alarm, and issues a label 1; if the electronic product is a third-level profitable product set B3 and Z≤z3, the system issues a warning and an alarm, and issues a label 1, where z1>z2>z3; If the electronic product belongs to the first-level profit-making product set B1 and Z≥z4, the system will issue a warning and an alarm, and issue Label 2; if the electronic product belongs to the second-level profit-making product set B2 and Z≥z5, the system will issue a warning and an alarm, and issue Label 2; if the electronic product belongs to the third-level profit-making product set B3 and Z≥z6, the system will issue a warning and an alarm, and issue Label 2, where z4>z5>z6.

Images