An RFID-based inventory management method and system

Abstract

This invention relates to the field of inventory management technology, specifically disclosing an RFID-based inventory management method and system, comprising the following steps: Step S1: By acquiring historical sales data and the procurement cycle T of the goods, the sales data is divided into multiple sub-cycles and integrated to obtain the sales cycle; Step S2: Distinguishing between promotional sub-cycles and non-promotional sub-cycles, calculating the promotion factor μ, and considering the impact of promotional activities on sales; Step S3: Calculating the cycle factor λ. k Assess sales changes across different sales cycles and adjust inventory strategies based on promotional factors; Step S4: Determine the maximum purchase quantity N max By taking into account factors such as the remaining shelf life and the average sales volume of the current sales cycle, inventory management can be optimized; sales can be predicted more reasonably, and inventory backlog or stockouts can be reduced.

Description

Technical Field

[0001] This invention relates to the field of inventory management technology, specifically to an RFID-based inventory management method and system. Background Technology

[0002] Inventory management includes inventory planning, inventory control, inventory analysis, and inventory risk management. Inventory planning is the primary task of inventory management. It needs to be formulated based on the company's historical sales data and market demand forecasts to ensure that inventory levels can meet customer needs while avoiding inventory backlog.

[0003] The core components of inventory planning include determining the procurement cycle and procurement quantity. The procurement quantity refers to the amount of materials that need to be procured after internal balancing. Factors affecting the procurement quantity include demand, reserves, and inventory levels. Accurate calculation of the procurement quantity is crucial in a company's procurement management because it directly impacts cost control and supply chain efficiency.

[0004] In existing technologies, the quantity of goods to be purchased is usually determined based on historical sales data. The purchase quantity for this year is determined based on the sales data of previous years. However, in reality, when selling goods, promotional activities are often carried out from time to time, which causes a short-term surge in the sales volume of goods, affecting the prediction of the purchase quantity and making the predicted purchase quantity too high. Moreover, the shelf life of goods purchased at the same time is generally within the same period. If the goods are not sold out on time within this period, it will result in the loss of procurement costs. Summary of the Invention

[0005] The purpose of this invention is to provide an RFID-based inventory management method and system to solve the above-mentioned technical problems.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] An RFID-based inventory management method includes the following steps:

[0008] Step S1: Obtain historical sales data, obtain the procurement cycle T of goods through RFID technology, divide the historical sales data of each year into several sub-cycles according to the procurement cycle, and integrate the sub-cycles to obtain several sales cycles for each year.

[0009] Step S2: In the historical sales data, the sub-periods with promotional activities are recorded as promotional sub-periods, and the sub-periods without promotional activities are recorded as non-promotional sub-periods;

[0010] Obtain the sales volume for each year's promotional sub-cycle, and obtain the sales volume for each year's non-sales sub-cycle that falls within the same sales cycle as the aforementioned promotional sub-cycle, to derive the promotional factor. Where n is the total number of sales cycles within a year, m is the number of years, and x´ i-k Let x be the sales volume of the promotional sub-cycle in the k-th sales cycle of the i-th year. i-k Let be the sales volume in the non-promotional sub-cycle of the k-th sales cycle in the i-th year;

[0011] Step S3: Obtain the periodic factor for the kth sales cycle based on the aforementioned periodic factor. , where X ave-k Let x be the average sales volume in the k-th sales period. ave-all Let K be the total average sales volume of the sub-cycle, and K be the number of promotional sub-cycles in the k-th sales cycle of the i-th year.

[0012] Step S4: Based on the cycle factor and promotion factor, obtain the maximum purchase quantity within the procurement cycle. T date q0 represents the remaining shelf life of the goods within the procurement cycle, k1 represents the k1th sales cycle in which the current procurement cycle is located, and q0 represents the predicted incremental ratio.

[0013] As a further aspect of the present invention: the process of dividing the sub-period includes:

[0014] When the goods are purchased for the first time in a year, the first time the goods are put into storage is obtained. Based on the purchase cycle, starting from the time of storage, a new time of storage is obtained every purchase cycle T. The time period between each two adjacent times of storage is recorded as a sub-cycle.

[0015] As a further aspect of the present invention: for any given year, the time period preceding the first time goods are received into the warehouse is recorded as a separate sub-cycle.

[0016] As a further aspect of the present invention, the process of integrating the sub-periods includes:

[0017] Obtain the sales volume for each year's sub-cycle, and then obtain the total average sales volume x for the sub-cycle. ave-all And obtain the sales volume for each sub-cycle in any year, and obtain the average sales volume x for that sub-cycle. ave The ratio q=x is obtained. ave / x ave-all ;

[0018] By setting a threshold ε, the partitioning interval threshold qε is obtained; in any year, the average sales volume x of the sub-cycle of that year is used as the partitioning threshold. aveStarting from the initial value, several sales range thresholds are obtained by decreasing downwards or increasing upwards based on the defined interval threshold. ave -eqε,x ave -(e-1)qε],...,(x ave -qε,x ave ],(x ave x ave +qε],...,[x ave +(e-1)qε,x ave +eqε]}, where e / 2 is the total number of sales range thresholds; based on the sales range thresholds, the sub-cycles within the year are divided to obtain several sales cycles.

[0019] As a further aspect of the present invention: the sales volume x´ of the promotional sub-cycle i-k Let x be the sum of sales volume in all promotional sub-cycles within the k-th sales cycle of the i-th year; the sales volume x in each promotional sub-cycle. i-k It represents the total sales volume of all non-promotional sub-cycles in the k-th sales cycle of the i-th year.

[0020] As a further aspect of the present invention: the remaining shelf life T of the goods within the procurement cycle date The process of obtaining it includes:

[0021] During the procurement process, RFID technology is used to acquire goods information, including the goods name, shelf life, and production date. Based on the shelf life t and production date t0, the expiration date t´ = t0 + t is obtained. The current time is then obtained, and the time period between the current time and the expiration date is recorded as the remaining shelf life T of the goods. date .

[0022] As a further aspect of the present invention: the average sales volume X in the kth sales cycle ave-k It is the average of the total sales volume of all sub-cycles within the k-th sales cycle of each year.

[0023] As a further aspect of the present invention: the prediction process of the incremental ratio includes:

[0024] Obtain the average sales volume of each year's sub-cycle relative to the total average sales volume of the sub-cycle x ave-all The ratios are used to obtain the dataset {q1, q2, ..., q}. Q , where q1 is the first year compared to x ave-all The ratio, where Q is the total number of ratios; a linear regression equation is established based on the dataset, the current year is obtained and denoted as Q+y, and the ratio of the current year to x in the Q+y-th year is predicted based on the linear regression equation. ave-allThe ratio q Q+y That is, the predicted increment ratio q0.

[0025] As a further aspect of the present invention: an RFID-based inventory management system, comprising:

[0026] Data integration module: acquires historical sales data, obtains the procurement cycle T of goods through RFID technology, divides the historical sales data of each year into several sub-cycles according to the procurement cycle, and integrates the sub-cycles to obtain several sales cycles for each year.

[0027] Promotion Analysis Module: In the historical sales data, sub-periods with promotional activities are recorded as promotional sub-periods, and sub-periods without promotional activities are recorded as non-promotional sub-periods;

[0028] Obtain the sales volume for each year's promotional sub-cycle, and obtain the sales volume for each year's non-sales sub-cycle that falls within the same sales cycle as the aforementioned promotional sub-cycle, to derive the promotional factor. Where n is the total number of sales cycles within a year, m is the number of years, and x´ i-k Let x be the sales volume of the promotional sub-cycle in the k-th sales cycle of the i-th year. i-k Let be the sales volume in the non-promotional sub-cycle of the k-th sales cycle in the i-th year;

[0029] Cycle Analysis Module: Based on the cycle factor, obtain the cycle factor for the kth sales cycle. , where X ave-k Let x be the average sales volume in the k-th sales period. ave-all Let K be the total average sales volume of the sub-cycle, and K be the number of promotional sub-cycles in the k-th sales cycle of the i-th year.

[0030] Purchase Quantity Analysis Module: Based on the cycle factor and promotion factor, obtain the maximum purchase quantity within the purchase cycle. T date q0 represents the remaining shelf life of the goods within the procurement cycle, k1 represents the k1th sales cycle in which the current procurement cycle is located, and q0 represents the predicted incremental ratio.

[0031] The beneficial effects of this invention are:

[0032] In existing technologies, the quantity of goods to be purchased is usually determined based on historical sales data. The purchase quantity for this year is determined based on the sales data of previous years. However, in reality, when selling goods, promotional activities are often carried out from time to time, which causes a short-term surge in the sales volume of goods, affecting the prediction of the purchase quantity and making the predicted purchase quantity too high. Moreover, the shelf life of goods purchased at the same time is generally within the same period. If the goods are not sold out on time within this period, it will result in the loss of procurement costs.

[0033] Compared to existing technologies, this invention obtains historical sales data and the procurement cycle T of goods, divides the sales data into multiple sub-cycles, and integrates them to obtain the sales cycle; it distinguishes between promotional sub-cycles and non-promotional sub-cycles, calculates the promotional factor μ, and considers the impact of promotional activities on sales; and calculates the cycle factor λ. k Assess sales volume changes across different sales cycles and adjust inventory strategies based on promotional factors; determine the maximum purchase quantity N. max By considering factors such as remaining shelf life and average sales volume during the current sales cycle, this invention optimizes inventory management; it allows for more accurate sales forecasting, reducing inventory backlog or stockouts; it enables rapid adaptation to market changes, such as promotional activities, ensuring that inventory levels are synchronized with market demand; and optimized inventory management reduces losses from over-purchasing and expired products, thereby lowering overall costs. Attached Figure Description

[0034] The invention will now be further described with reference to the accompanying drawings.

[0035] Figure 1 This is a schematic diagram of the structure of an RFID-based inventory management method and system according to the present invention. Detailed Implementation

[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Please see Figure 1 As shown, this invention is an RFID-based inventory management method, comprising the following steps:

[0038] Step S1: Obtain historical sales data, obtain the procurement cycle T of goods through RFID technology, divide the historical sales data of each year into several sub-cycles according to the procurement cycle, and integrate the sub-cycles to obtain several sales cycles for each year.

[0039] Understandably, RFID technology can be used in the procurement process to track the entire journey of a product, from manufacturing to distribution to retail. Therefore, RFID technology can be used to obtain information about the procurement cycle, monitor and record the movement of goods in inventory, and calculate the entire cycle from the purchase of goods to their complete consumption or sale. In warehouse or retail environments, RFID tags can be attached to each item, storing key information about that item, such as production date, expiration date, and supplier details. When these goods are received, moved, or sold, RFID readers can automatically capture the information on these tags.

[0040] It is understood that the procurement cycle refers to the time required from deciding to procure a certain product to actually receiving the product and having it ready for production or sale; the length of the procurement cycle can vary greatly depending on factors such as the complexity of the product, the distance of the supplier, and the mode of transportation. For some standard products, the procurement cycle may be relatively short; while for products that require customization or international procurement, the procurement cycle may be longer.

[0041] The process of dividing the sub-period includes:

[0042] When the goods are purchased for the first time in a year, the first time the goods are put into storage is obtained. According to the purchase cycle, starting from the time of storage, a new time of storage is obtained every purchase cycle T. The time period between each two adjacent times of storage is recorded as a sub-cycle.

[0043] For any given year, the time period before the first time goods are put into storage is recorded as a separate sub-period.

[0044] It is understandable that newly purchased goods are sold within the sub-cycle; however, due to the need to clear near-expiry inventory, promotional activities are often held before the arrival of the next batch of goods to avoid excessive inventory; and the purchase quantity is determined before the next sub-cycle.

[0045] The process of integrating the sub-cycles includes:

[0046] Obtain the sales volume for each year's sub-cycle, and then obtain the total average sales volume x for the sub-cycle. ave-all And obtain the sales volume for each sub-cycle in any year, and obtain the average sales volume x for that sub-cycle. ave The ratio q=x is obtained. ave / x ave-all ;

[0047] By setting a threshold ε, the partitioning interval threshold qε is obtained; in any year, the average sales volume x of the sub-cycle of that year is used as the partitioning threshold. aveStarting from the initial value, several sales range thresholds are obtained by decreasing downwards or increasing upwards based on the defined interval threshold. ave -eqε,x ave -(e-1)qε],...,(x ave -qε,x ave ],(x ave x ave +qε],...,[x ave +(e-1)qε,x ave +eqε]}, where e / 2 is the total number of sales range thresholds; based on the sales range thresholds, the sub-cycles within the year are divided to obtain several sales cycles;

[0048] Understandably, the ratio is used to analyze the relationship between annual sales performance and the overall average level. As the economy develops, people's consumption levels also change year by year. Therefore, the average sales volume of goods each year is not stable, but rather increases with the year. Thus, it is inaccurate to directly use the total average sales volume of the sub-cycle for division. It is necessary to use the ratio to offset the impact of sales performance in different years on sales volume. Based on the ratio, the division threshold, and the total average sales volume of the sub-cycle, several division thresholds are formulated. Based on these division thresholds, several sales range thresholds are created. The sub-cycles are then classified according to the sales range thresholds to form different sales cycles.

[0049] Understandably, sales volumes often vary across different sales cycles, necessitating the differentiation between them. Factors contributing to these differences may include seasonal demand fluctuations, holidays, and special events. The sales volume of many products is significantly influenced by seasonality. For example, winter clothing sales are high in winter and low in summer; cold drinks and ice cream sales are high in summer and relatively low in winter. Specific holidays or cultural events can significantly impact consumer purchasing behavior. For instance, toy and gift sales surge during Christmas; Black Friday and Cyber ​​Monday are crucial promotional days for the retail industry.

[0050] Step S2: In the historical sales data, the sub-periods with promotional activities are recorded as promotional sub-periods, and the sub-periods without promotional activities are recorded as non-promotional sub-periods;

[0051] Obtain the sales volume for each year's promotional sub-cycle, and obtain the sales volume for each year's non-sales sub-cycle that falls within the same sales cycle as the aforementioned promotional sub-cycle, to derive the promotional factor. Where n is the total number of sales cycles within a year, m is the number of years, and x´ i-k Let x be the sales volume of the promotional sub-cycle in the k-th sales cycle of the i-th year. i-kLet be the sales volume in the non-promotional sub-cycle of the k-th sales cycle in the i-th year;

[0052] Sales volume x´ of the promotional sub-cycle i-k Let x be the sum of sales volume in all promotional sub-cycles within the k-th sales cycle of the i-th year; the sales volume x in each promotional sub-cycle. i-k It represents the total sales volume of all non-promotional sub-cycles in the k-th sales cycle of the i-th year;

[0053] It should be noted that the promotion factor reflects the impact of promotional activities on sales volume and is used to evaluate the effectiveness of promotional activities. Historical sales data is used to identify which periods are sub-periods with promotional activities (i.e., promotional sub-periods) and which are sub-periods without promotional activities (i.e., non-promotional sub-periods). Sales volume for both promotional and non-promotional sub-periods is calculated annually, and the relative sales volume change between promotional and non-promotional sub-periods is calculated each year. The average of the annual relative sales volume changes was used to derive the promotion factor μ.

[0054] Step S3: Obtain the periodic factor for the kth sales cycle based on the aforementioned periodic factor. , where X ave-k Let x be the average sales volume in the k-th sales period. ave-all Let K be the total average sales volume of the sub-cycle, and K be the number of promotional sub-cycles in the k-th sales cycle of the i-th year.

[0055] Wherein, the average sales volume X in the kth sales cycle ave-k It is the average of the total sales volume of all sub-cycles within the k-th sales cycle of each year;

[0056] It is understandable that the periodic factor λ k This indicator measures sales performance within the k-th sales cycle. The calculation of the cycle factor excludes the impact of promotional sub-cycles on the average sales volume per sales cycle. First, the average sales volume for each sales cycle is calculated: Calculate the average sales volume X for the k-th sales cycle. ave-k And calculate the total average sales volume x for all sub-cycles. ave-all ; Calculate the sales volume in the k-th sales cycle of each year after deducting the impact of promotions, i.e. ,Will Divide by the average sales volume X of the kth sales cycle ave-k For all years Summing and averaging yields the cycle factor λ for the k-th sales cycle. kBy considering the impact of promotional activities on each sales cycle, the sales volume of each cycle is adjusted, and the cycle factor of each sales cycle is calculated; the cycle factor can be used to evaluate the characteristics and patterns of different sales cycles and further optimize the procurement strategy.

[0057] Step S4: Based on the cycle factor and promotion factor, obtain the maximum purchase quantity within the procurement cycle. T date q0 represents the remaining shelf life of the goods within the procurement cycle, k1 represents the k1th sales cycle in which the current procurement cycle is located, and q0 represents the predicted incremental ratio.

[0058] It should be noted that, This represents the proportion of remaining shelf life to the current sub-cycle; the maximum purchase quantity is the amount of goods that can be sold through a promotional event; based on the predicted incremental ratio, the predicted average sales volume q0x for each sub-cycle of the current year is obtained. ave-all ; using the aforementioned periodic factor and promotional factor, q0x ave-all Adjustments were made to ensure that the final maximum purchase volume took into account the impact of sales cycles and promotional activities; procurement decisions were optimized to ensure reasonable inventory levels.

[0059] The remaining shelf life T of the goods during the procurement cycle date The process of obtaining it includes:

[0060] During the procurement process, RFID technology is used to acquire goods information, including the goods name, shelf life, and production date. Based on the shelf life t and production date t0, the expiration date t´ = t0 + t is obtained. The current time is then obtained, and the time period between the current time and the expiration date is recorded as the remaining shelf life T of the goods. date ;

[0061] It is understandable that goods purchased at the same time generally have the same shelf life. If the goods are not sold out on time within this period, it will result in a loss of procurement costs.

[0062] The prediction process for the increment ratio includes:

[0063] Obtain the average sales volume of each year's sub-cycle relative to the total average sales volume of the sub-cycle x ave-all The ratios are used to obtain the dataset {q1, q2, ..., q}. Q , where q1 is the first year compared to x ave-all The ratio, where Q is the total number of ratios; a linear regression equation is established based on the dataset, the current year is obtained and denoted as Q+y, and the ratio of the current year to x in the Q+y-th year is predicted based on the linear regression equation. ave-all The ratio qQ+y That is, the predicted increment ratio q0;

[0064] It should be noted that a linear regression equation is established based on the dataset. The linear regression equation is in the form of Y=aX+b, where a and b are regression coefficients, X is the independent variable (in this case, the year), and Y is the dependent variable (in this case, the ratio). The values ​​of a and b that minimize the sum of squared errors are determined using the least squares method, thus obtaining the final linear regression equation. The current year Q+y is then substituted into the linear regression equation to obtain q0=a*(Q+y)+b.

[0065] An RFID-based inventory management system includes:

[0066] Data integration module: acquires historical sales data, obtains the procurement cycle T of goods through RFID technology, divides the historical sales data of each year into several sub-cycles according to the procurement cycle, and integrates the sub-cycles to obtain several sales cycles for each year.

[0067] Promotion Analysis Module: In the historical sales data, sub-periods with promotional activities are recorded as promotional sub-periods, and sub-periods without promotional activities are recorded as non-promotional sub-periods;

[0068] Obtain the sales volume for each year's promotional sub-cycle, and obtain the sales volume for each year's non-sales sub-cycle that falls within the same sales cycle as the aforementioned promotional sub-cycle, to derive the promotional factor. Where n is the total number of sales cycles within a year, m is the number of years, and x´ i-k Let x be the sales volume of the promotional sub-cycle in the k-th sales cycle of the i-th year. i-k Let be the sales volume in the non-promotional sub-cycle of the k-th sales cycle in the i-th year;

[0069] Cycle Analysis Module: Based on the cycle factor, obtain the cycle factor for the kth sales cycle. , where X ave-k Let x be the average sales volume in the k-th sales period. ave-all Let K be the total average sales volume of the sub-cycle, and K be the number of promotional sub-cycles in the k-th sales cycle of the i-th year.

[0070] Purchase Quantity Analysis Module: Based on the cycle factor and promotion factor, obtain the maximum purchase quantity within the purchase cycle. T date q0 represents the remaining shelf life of the goods within the procurement cycle, k1 represents the k1th sales cycle in which the current procurement cycle is located, and q0 represents the predicted incremental ratio.

[0071] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. An RFID-based inventory management method, characterized in that, Includes the following steps: Step S1: Obtain historical sales data, obtain the procurement cycle T of goods through RFID technology, divide the historical sales data of each year into several sub-cycles according to the procurement cycle, and integrate the sub-cycles to obtain several sales cycles for each year. Step S2: In the historical sales data, the sub-periods with promotional activities are recorded as promotional sub-periods, and the sub-periods without promotional activities are recorded as non-promotional sub-periods; Obtain the sales volume for each year's promotional sub-cycle, and obtain the sales volume for each year's non-sales sub-cycle that falls within the same sales cycle as the aforementioned promotional sub-cycle, to derive the promotional factor. Where n is the total number of sales cycles within a year, m is the number of years, and x´ i-k Let x be the sales volume of the promotional sub-cycle in the k-th sales cycle of the i-th year. i-k Let be the sales volume in the non-promotional sub-cycle of the k-th sales cycle in the i-th year; Step S3: Based on the promotion factors, obtain the cycle factor for the kth sales cycle. , where X ave-k Let x be the average sales volume in the k-th sales period. ave-all Let K be the total average sales volume of the sub-cycle, and K be the number of promotional sub-cycles in the k-th sales cycle of the i-th year. Step S4: Based on the cycle factor and promotion factor, obtain the maximum purchase quantity within the procurement cycle. T date q0 represents the remaining shelf life of the goods within the procurement cycle, k1 represents the k1th sales cycle in which the current procurement cycle is located, and q0 represents the predicted incremental ratio. In step S1, the process of integrating the sub-periods includes: Obtain the sales volume for each year's sub-cycle, and then obtain the total average sales volume x for the sub-cycle. ave-all And obtain the sales volume for each sub-cycle in any year, and obtain the average sales volume x for that sub-cycle. ave The ratio q=x is obtained. ave / x ave-all ; By setting a threshold ε, the partitioning interval threshold qε is obtained; in any year, the average sales volume x of the sub-cycle of that year is used as the partitioning threshold. ave Starting from the initial value, several sales range thresholds are obtained by decreasing downwards or increasing upwards based on the defined interval threshold. ave -eqε,x ave -(e-1)qε],...,(x ave -qε,x ave ],(x ave x ave +qε],...,[x ave +(e-1)qε,x ave +eqε]}, where e / 2 is the total number of sales range thresholds; based on the sales range thresholds, the sub-cycles within the year are divided to obtain several sales cycles; In step S4, the prediction process for the incremental ratio includes: Obtain the average sales volume of each year's sub-cycle relative to the total average sales volume of the sub-cycle x ave-all The ratios are used to obtain the dataset {q1, q2, ..., q}. Q , where q1 is the first year compared to x ave-all The ratio, where Q is the total number of ratios; a linear regression equation is established based on the dataset, the current year is obtained and denoted as Q+y, and the ratio of the current year to x in the Q+y-th year is predicted based on the linear regression equation. ave-all The ratio q Q+y That is, the predicted increment ratio q0.

2. The RFID-based inventory management method according to claim 1, characterized in that, In step S1, the process of dividing the sub-period includes: When the goods are purchased for the first time in a year, the first time the goods are put into storage is obtained. Based on the purchase cycle, starting from the time of storage, a new time of storage is obtained every purchase cycle T. The time period between each two adjacent times of storage is recorded as a sub-cycle.

3. The RFID-based inventory management method according to claim 2, characterized in that, In step S1, the time period before the first entry of goods into the warehouse in any year is recorded as a separate sub-cycle.

4. The RFID-based inventory management method according to claim 1, characterized in that, In step S2, the sales volume x´ of the promotional sub-cycle i-k Let x be the sum of sales volume in all promotional sub-cycles within the k-th sales cycle of the i-th year; the sales volume x in each promotional sub-cycle. i-k It represents the total sales volume of all non-promotional sub-cycles in the k-th sales cycle of the i-th year.

5. The RFID-based inventory management method according to claim 1, characterized in that, In step S4, the remaining shelf life T of the goods within the procurement cycle is... date The process of obtaining it includes: During the procurement process, RFID technology is used to acquire goods information, including the goods name, shelf life, and production date. Based on the shelf life t and production date t0, the expiration date t´ = t0 + t is obtained. The current time is then obtained, and the time period between the current time and the expiration date is recorded as the remaining shelf life T of the goods. date .

6. The RFID-based inventory management method according to claim 1, characterized in that, In step S3, the average sales volume X in the kth sales cycle ave-k It is the average of the total sales volume of all sub-cycles within the k-th sales cycle of each year.

7. An RFID-based inventory management system, characterized in that, include: Data integration module: acquires historical sales data, obtains the procurement cycle T of goods through RFID technology, divides the historical sales data of each year into several sub-cycles according to the procurement cycle, and integrates the sub-cycles to obtain several sales cycles for each year. Promotion Analysis Module: In the historical sales data, sub-periods with promotional activities are recorded as promotional sub-periods, and sub-periods without promotional activities are recorded as non-promotional sub-periods; Obtain the sales volume for each year's promotional sub-cycle, and obtain the sales volume for each year's non-sales sub-cycle that falls within the same sales cycle as the aforementioned promotional sub-cycle, to derive the promotional factor. Where n is the total number of sales cycles within a year, m is the number of years, and x´ i-k Let x be the sales volume of the promotional sub-cycle in the k-th sales cycle of the i-th year. i-k Let be the sales volume in the non-promotional sub-cycle of the k-th sales cycle in the i-th year; Cycle Analysis Module: Based on the aforementioned promotional factors, obtain the cycle factor for the k-th sales cycle. , where X ave-k Let x be the average sales volume in the k-th sales period. ave-all Let K be the total average sales volume of the sub-cycle, and K be the number of promotional sub-cycles in the k-th sales cycle of the i-th year. Purchase Quantity Analysis Module: Based on the cycle factor and promotion factor, obtain the maximum purchase quantity within the purchase cycle. T date q0 represents the remaining shelf life of the goods within the procurement cycle, k1 represents the k1th sales cycle in which the current procurement cycle is located, and q0 represents the predicted incremental ratio. The process of integrating the sub-cycles includes: Obtain the sales volume for each year's sub-cycle, and then obtain the total average sales volume x for the sub-cycle. ave-all And obtain the sales volume for each sub-cycle in any year, and obtain the average sales volume x for that sub-cycle. ave The ratio q=x is obtained. ave / x ave-all ; By setting a threshold ε, the partitioning interval threshold qε is obtained; in any year, the average sales volume x of the sub-cycle of that year is used as the partitioning threshold. ave Starting from the initial value, several sales range thresholds are obtained by decreasing downwards or increasing upwards based on the defined interval threshold. ave -eqε,x ave -(e-1)qε],...,(x ave -qε,x ave ],(x ave x ave +qε],...,[x ave +(e-1)qε,x ave +eqε]}, where e / 2 is the total number of sales range thresholds; based on the sales range thresholds, the sub-cycles within the year are divided to obtain several sales cycles; The prediction process for the increment ratio includes: Obtain the average sales volume of each year's sub-cycle relative to the total average sales volume of the sub-cycle x ave-all The ratios are used to obtain the dataset {q1, q2, ..., q}. Q , where q1 is the first year compared to x ave-all The ratio, where Q is the total number of ratios; a linear regression equation is established based on the dataset, the current year is obtained and denoted as Q+y, and the ratio of the current year to x in the Q+y-th year is predicted based on the linear regression equation. ave-all The ratio q Q+y That is, the predicted increment ratio q0.

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