CN111612251A - Cross-border e-commerce purchasing and replenishment method based on amazon FBA - Google Patents
Cross-border e-commerce purchasing and replenishment method based on amazon FBA Download PDFInfo
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Abstract
The invention discloses an amazon FBA-based cross-border e-commerce purchasing and replenishment method which comprises the steps of determining the FBA replenishment quantity entering an amazon warehouse from a local warehouse by adopting a replenishment prediction method, and determining the purchasing quantity entering the local warehouse from a supplier by adopting a purchase prediction method. Aiming at the whole logistics process from purchasing to FBA replenishment of products, the dynamic purchasing-replenishment forecasting model is established, so that the purchasing quantity of the products required by a local warehouse and the FBA replenishment quantity required by an Amazon warehouse at any moment are accurately forecasted, the accuracy of the purchasing and replenishment commodity quantity of the Amazon cross-border E-commerce seller is obviously improved, the warehousing cost and the warehousing pressure are reduced to the greatest extent, and the product outage risk is minimized.
Description
Technical Field
The invention relates to the technical field of cross-border e-commerce purchasing and replenishment prediction, in particular to a cross-border e-commerce purchasing and replenishment method based on Amazon FBA.
Background
The world rise in excess capacity and Chinese manufactures has led to an increasing number of Chinese vendors beginning to march to foreign markets. Amazon platform, one of the companies that first operated electronic commerce, has a large amount of traffic and is sold for customers worldwide. Thus attracting more and more vendors of china to host the platform.
Two main modes of amazon platform delivery are fba (full file by amazon), that is, a certain amount of products are simultaneously sent and stored in an amazon warehouse, and when a buyer places an order, amazon is responsible for processing packaging, delivery and after-sales service; the other is fbm (full film by merchant), i.e. the whole process of receiving an order is completely processed by the seller without sending the product to amazon warehouse in advance. On one hand, amazon platform distributes more flow for sellers who select FBA delivery mode, so that sellers obtain more orders, and the method is beneficial to becoming high-quality sellers, on the other hand, FBA delivery time is fast, after-sale service is good, and buyers generally have better shopping experience. In addition, FBA delivery is selected, Amazon can help sellers to finish complicated logistics, warehousing and packaging work, and a large amount of manpower, material resources and energy of sellers are saved. Therefore, most vendors prefer FBA delivery.
However, FBA vendors are also under enormous inventory pressure while enjoying these premium services. In addition to having to pay amazon a certain warehousing fee (which accelerates with increasing inventory time), FBA vendors are more importantly at risk of outages. On amazon platform, a seller's product, if out of stock, will seriously affect the ranking of the product, which in turn causes a decrease in traffic, and the click rate and conversion rate are both greatly negatively impacted, and often take a considerable period of time to absorb. For most of Chinese sellers who choose FBA for delivery, the factor considered by the FBA (i.e. the process of sending the product from China to Amazon warehouse) is complex due to time and distance, and the goods breaking risk and the storage fee pressure which need to be borne are higher than those of the American native seller or the seller who owns overseas warehouse.
Currently in the cross-border e-commerce domain, there are some solutions for amazon FBA delivery [1,2,3 ]. These solutions are based on the historical sales of the products to make an estimate, and then the operator's experience is combined to determine the replenishment volume of the products to amazon warehouses, so there are many drawbacks, and the feasibility and the value are greatly reduced. The problems with these replenishment solutions mainly include:
first, a large number of products sold on amazon platforms are seasonally characterized by the existence of so-called light and busy seasons, and due to the variation of supply and demand relations, the sales volume in different periods often fluctuates greatly (the sales volume in the busy seasons may be tens of times or more of that in the light seasons), so that there is a very large uncertainty simply by estimating the historical sales figures.
Second, the product undergoing FBA replenishment is called in-transit inventory before entering amazon warehouse, and there is a link between this product and the inventory that has already entered amazon warehouse (called FBA inventory) (in-transit inventory will gradually translate into FBA inventory), but there is also a difference that must be differentiated in the algorithm to obtain more accurate FBA replenishment. Current solutions do not basically take this into account.
Thirdly, a dynamic coupling process is formed between the purchase quantity of the local warehouse and the FBA replenishment quantity sent by the warehouse to Amazon, and the accuracy of the result can be guaranteed only by establishing a general planning algorithm. None of the current solutions establish such a unified procurement-replenishment model.
As mentioned above, the defect of the current amazon FBA-based cross-border e-commerce replenishment algorithm is that too much or too little replenishment is often generated in the FBA replenishment process. Excessive replenishment results in an increase in the number of days to complete the inventory and the inventory cost. If the replenishment is too little, the risk of goods failure is born, and the long-term operation quality of the seller is greatly influenced. As the sales categories and sales volumes of products increase, sellers have less effort to accurately predict replenishment quantities, and the negative effects of such defects gradually accumulate, eventually resulting in irreparable losses.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the cross-border e-commerce purchasing and replenishment method based on the amazon FBA, which can effectively improve the accuracy of the number of purchased and replenished commodities of the cross-border e-commerce seller of the FBA, reduce the inventory cost of the FBA and effectively avoid the risk of goods failure.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that:
a cross-border e-commerce purchasing and replenishment method based on Amazon FBA comprises the following steps:
(1) determining the quantity of FBA replenishment entering an Amazon warehouse from a local warehouse by adopting a replenishment prediction method, wherein the replenishment prediction method comprises the following steps:
setting parameters of estimated delivery date, head journey days, delivery interval and Amazon safety stock days, calculating predicted sales volume, and simultaneously acquiring FBA stock and in-transit stock;
calculating amazon inventory according to the FBA inventory and the in-transit inventory;
setting a replenishment rule, and calculating the FBA replenishment quantity according to the output quantities of the Amazon inventory and the Amazon warehouse in the replenishment period;
(2) determining the number of purchases from a supplier into a local warehouse by using a purchase prediction method, wherein the purchase prediction method comprises the following steps:
setting purchasing time, purchasing period and local inventory parameters, and calculating the FBA replenishment quantity in the replenishment period;
and calculating the purchasing quantity of the purchasing time according to the inventory of the local warehouse and the output quantity of the local warehouse in the replenishment period.
Further, the calculation formula of amazon inventory is specifically expressed as:
B(t0)=B1(t0)+B2(t0)
wherein, B (t)0) Amazon stock indicating the estimated delivery date, B1(t0) FBA inventory indicating estimated delivery date, B2(t0) An in-transit inventory representing a projected shipment date.
Further, the Amazon warehouse is in the replenishment periodThe output quantity comprising a time period t0~t0Predicted sales in + Δ t, time period t0+t~t0Predicted sales within + t + τ, and time period t0+t+τ~t0Predicted sales within + Δ t + τ + D, where τ represents delivery interval and D represents Amazon safety stock days.
Further, the restocking rule comprises:
when the FBA inventory is sufficient, i.e.In time, the calculation formula of the FBA replenishment quantity is specifically expressed as follows:
wherein, f (t)0) The number of FBA restocks is represented,representing dynamic inventory, t0Indicates the estimated delivery date,. DELTA.t indicates the number of days of the first trip, and S (t) indicates the predicted sales.
Further, the restocking rule comprises:
when the FBA is in short stock, but the stock in transit is sufficient, i.e. When it is set to t1Date of conversion of in-transit inventory to FBA inventory, t2Date of complete outage for FBA inventory, t3Date of conversion to FBA inventory for expedited restocking;
if t1<t2Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
if t1≥t2And t is3<t2Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
if t1≥t2And t is3≥t2Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
further, the restocking rule comprises:
when the FBA is in short stock and the stock is in short stock in transit, that isWhen the temperature of the water is higher than the set temperature,
if t3<t2<t1Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
if t2<t3<t1Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
if t2<t1<t3Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
further, the output quantity of the local warehouse in the replenishment period comprises a time period T0~T0+ FBA replenishment demand in L, time period T0+L~T0+2FBA replenishment demand in L, and time period T0+2L~T0FBA replenishment demand within +3L, where T0Indicating a procurement time and L indicating a procurement period.
Further, the calculation formula of the purchase quantity of the purchase time is specifically represented as:
I(T0)=f′(ti)-C(T0)
wherein, I (T)0) For purchase time T0Of (d), f' (t)i) The corrected replenishment quantity is obtained according to the time difference between the procurement time and the replenishment time, C (T)0) And warehousing the local warehouse.
Further, the corrected replenishment quantity is specifically expressed as:
wherein, f (t)i) For replenishment time tiThe replenishment quantity.
The invention has the following beneficial effects:
aiming at the whole logistics process from purchasing to FBA replenishment of products, the dynamic purchasing-replenishment forecasting model is established, so that the purchasing quantity of the products required by a local warehouse and the FBA replenishment quantity required by an Amazon warehouse at any moment are accurately forecasted, the accuracy of the purchasing and replenishment commodity quantity of the Amazon cross-border E-commerce seller is obviously improved, the warehousing cost and the warehousing pressure are reduced to the greatest extent, and the product outage risk is minimized.
Drawings
FIG. 1 is a flow chart of the cross-border e-commerce procurement and replenishment method based on Amazon FBA of the invention;
FIG. 2 is a schematic diagram of a procurement-replenishment forecast model according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a procurement time point and a replenishment time point according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1, the embodiment of the present invention provides a cross-border e-commerce procurement and replenishment method based on amazon FBA, by taking overall consideration of the entire logistic process from procurement to FBA replenishment, by building a dynamic procurement-replenishment forecast model, as shown in figure 2, the quantitative calibration is carried out on various states of the product in the supply chain, the accurate constraint is carried out on each key node in the supply chain, the sales quantity in the product flowing process is combined, thereby accurately predicting the purchase quantity of the product required by the local warehouse and the FBA replenishment quantity required by the Amazon warehouse at any moment, ensuring that the product cannot be broken, meanwhile, the internal requirement for reducing consumption is considered, the inventory conversion rate of the products is improved to the maximum extent, the storage cost of the products is reduced, particularly the long-term storage cost is reduced, and therefore the operation efficiency is obviously improved, and the profit margin is improved.
The invention relates to a cross-border e-commerce purchasing and replenishment method based on amazon FBA, which comprises the following steps:
(1) and determining the quantity of FBA replenishment entering the Amazon warehouse from the local warehouse by adopting a replenishment forecasting method.
In this embodiment, the number of FBA replenishment products entering the amazon warehouse from the local warehouse is determined by a replenishment product prediction method, with the supply-demand balance relationship between the local warehouse and the amazon warehouse as a demand.
The replenishment forecasting method specifically comprises the following steps:
setting parameters of estimated delivery date, head course days, delivery interval and Amazon safety stock days according to delivery requirements and operation requirements; the estimated delivery date refers to the delivery date of a cross-border e-commerce seller from China to an Amazon warehouse, the first-distance days refer to the time spent by a product in the distance from China to the Amazon warehouse, the delivery interval refers to the interval between the delivery time and the next delivery time, and the Amazon safety stock days parameter refers to the reserved sale days of the product in the Amazon warehouse;
the product sales prediction algorithm can specifically adopt a conventional algorithm in the field, and is not described herein any further;
acquiring FBA inventory and in-transit inventory by reading data of a product on an Amazon platform; the FBA inventory refers to the quantity of the product currently in the Amazon warehouse by the cross-border e-commerce seller, and the in-transit inventory refers to the quantity of the product which is shipped from China to the Amazon warehouse by the cross-border e-commerce seller and is sent from China, but the product is not signed by the Amazon warehouse;
calculating amazon inventory according to the FBA inventory and the in-transit inventory; wherein amazon inventory is the sum of FBA inventory and en-route inventory, and is represented as B (t)0)=B1(t0)+B2(t0)
Wherein, B (t)0) Amazon stock indicating the estimated delivery date, B1(t0) FBA inventory indicating estimated delivery date, B2(t0) An in-transit inventory representing a projected delivery date;
setting a replenishment rule, and calculating the FBA replenishment quantity according to the output quantities of the Amazon inventory and the Amazon warehouse in the replenishment period; where FBA replenishment quantity refers to the quantity of products to be delivered to amazon warehouse at replenishment time t.
When the date t of shipment is predicted0When the replenishment starts, the replenishment quantity f (t) is set to ensure that the replenishment is not interrupted0) Reservation B (t) with key node Amazon warehouse0) The sum of the quantities must satisfy the output quantity of the key node in the replenishment period.
The output of amazon warehouse during the replenishment cycle includes:
starting from replenishment until the goods enter the Amazon warehouse, namely the time period t0~t0Predicted sales within + Δ t;
from the time the goods for the replenishment arrive at the amazon warehouse, to the next FBA replenishment period,i.e. time period t0+Δt~t0Predicted sales within + Δ t + τ;
safe inventory of Amazon warehouse, i.e. time period t0+Δt+τ~t0Predicted sales within + Δ t + τ + D, where τ represents delivery interval and D represents Amazon safety stock days.
From the above relationship, it can be obtained
Thereby obtaining the FBA replenishment quantity of
Since the above formula is only for amazon inventory B (t)0) Existing FBA inventory B in1(t0) And inventory in transit B2(t0) Considering that the FBA stock and the stock in transit actually have different influences on the replenishment quantity, it is necessary to rewrite the above formula to the value of the replenishment quantity in consideration of the influence of the dynamic stock on the replenishment quantity
The FBA replenishment quantity under different conditions is calculated by setting a replenishment rule.
When the FBA inventory is sufficient, i.e.Due to in-transit inventory B2(t0) Goods f (t) available for restocking0) Before entering Amazon warehouse, all the materials are converted into FBA inventory B1(t0) Thus, there is no need to stock B existing FBAs1(t0) And inventory in transit B2(t0) The division is carried out, so that the calculation formula of the FBA replenishment quantity is specifically expressed as:
wherein, f (t)0) The number of FBA restocks is represented,representing dynamic inventory, t0Indicates the estimated delivery date,. DELTA.t indicates the number of days of the first trip, and S (t) indicates the predicted sales.
When the FBA inventory is insufficient, i.e.But in sufficient inventory in transit, i.e.In this case, t is set1Date of conversion of in-transit inventory to FBA inventory, t2Date of complete outage for FBA inventory, t3Date of conversion to FBA inventory for expedited restocking;
if t1<t2That is, the stock in transit can be replenished to the FBA warehouse before the FBA stock is depleted, and there is no risk of stock failure, the calculation formula of the FBA replenishment quantity is specifically expressed as:
if t1≥t2That is, the stock on the way cannot be converted and supplemented into the FBA stock in time, the stock has the risk of goods failure, the stock must be supplemented in advance by a mode of accelerating logistics, and the urgent supplement of the batch is assumed to enter the FBA stock at the date, that is, t3<t2Then is obtained by
And
the calculation formula of the FBA replenishment quantity is specifically expressed as follows:
third item in the above formulaThe result of the first two terms is the amount of general replenishment needed to expedite the replenishment.
If t1≥t2And t is3≥t2That is, the entry date of urgent replenishment is too late to avoid the risk of stock failure, for example, in the extreme case where the current FBA stock is zero, t is2=t0. Then at t2~t3And (3) internally, the goods are absolutely inevitable, and as a remedial measure, urgent replenishment is still needed, and then the calculation formula of the FBA replenishment quantity is specifically expressed as follows:
third item in the above formulaThe result of the first two terms is the amount of general replenishment needed to expedite the replenishment.
When the FBA is in short stock and the stock is in short stock in transit, that isIn time, in addition to conventional replenishment, urgent replenishment is required to offset the risk of failure;
if t3<t2<t1That is, the stock can be supplemented before the goods are broken in case of urgent replenishment, and the risk of goods breakage is eliminated, the calculation formula of the FBA replenishment quantity is specifically expressed as:
the first two items are normal replenishment, and the last item is urgent replenishment.
If t2<t3<t1At this time t2~t3If the goods are definitely out of stock in the period of time, the calculation formula of the FBA replenishment quantity is specifically expressed as follows:
the first two items are normal replenishment, and the last item is urgent replenishment.
If t2<t1<t3That is, if the current inventory is zero or close to zero, the calculation formula of the FBA replenishment quantity is specifically expressed as:
the first two items are normal replenishment, and the last item is urgent replenishment.
According to different states of products in the FBA head process, the products are divided into on-road stock and FBA stock, different algorithm models are considered according to different situations of the on-road stock, and the influence of the existing stock on FBA replenishment is calculated respectively; by performing such optimization calculation, the accuracy of FBA replenishment can be significantly improved.
(2) And determining the purchase quantity entering the local warehouse from the supplier by adopting a purchase prediction method.
In this embodiment, the present invention determines the purchase quantity entering the local warehouse from the supplier by using the supply-demand balance relationship between the supplier and the local warehouse as the demand and using the purchase prediction method.
The purchasing prediction method specifically comprises the following steps:
before calculating the purchasing quantity, firstly, according to the purchasing plan and the existing data, the purchasing time T is set0Parameters such as purchase period L and local inventory C (T); wherein the purchase time refers to the date of the seller making purchase order from the supplier, and the purchase period refers to how often the seller makes purchase, generally the delivery periodThe delivery period refers to the period from the time when the seller places the purchase order to the supplier to the time when the supplier delivers the purchase order, and the local inventory refers to the date T existing inventory C1(T0) And placed order not-handed stock C2(T0) Summing;
determining the replenishment quantity f (t) in a period of time in the future according to the replenishment forecasting method in the step (1)i) Wherein t isiRespectively corresponding to a plurality of replenishment time points in the time period.
And calculating the purchasing quantity of the purchasing time according to the inventory of the local warehouse and the output quantity of the local warehouse in the replenishment period.
At the time of purchase T0Determining a procurement quantity I (T)0) To ensure FBA replenishment demand in this procurement period, procurement I (T)0) Inventory C (T) with the key node "local warehouse" of the day0) The sum, the output of the key node during the replenishment period must be met.
The output of the local warehouse during the replenishment period comprises:
the local warehouse receives the batch of goods from the purchase order placing to the delivery of the supplier, namely the time period T0~T0+ FBA replenishment demand in L;
the local warehouse receives the batch of goods, and the time period T is the time period until the next purchase0+L~T0FBA replenishment demand within + 2L;
safety stock of local warehouse, i.e. time period T0+2L~T0FBA replenishment demand within +3L, where T0Indicating a procurement time and L indicating a procurement period.
From the above relationship, it can be obtained
Thereby obtaining a purchase quantity of
From the above formula, it can be seen that at T0The purchase amount of the day is related to the replenishment demand of the next three purchase periods and the existing local inventory, and the replenishment quantity f (t) is related to the formulai) Are all calculated in advance. Since the purchase date and replenishment date are usually staggered, f (t) is calculatedi) Corresponding correction is needed according to the time difference, and the corrected replenishment quantity is specifically expressed as follows:
wherein, f (t)i) For replenishment time tiThe replenishment quantity.
Thus the purchase quantity is further expressed as:
I(T0)=f′(ti)-C(T0)
wherein, I (T)0) For purchase time T0Of (d), f' (t)i) The corrected replenishment quantity is obtained according to the time difference between the procurement time and the replenishment time, C (T)0) And warehousing the local warehouse.
The following takes three replenishment time points in three procurement periods as an example, as shown in fig. 3.
At T0The procurement amounts on this day are:
I(T0)=f(t1)+f(t2)+f(t3)-C(T0)
due to the time difference between the purchase date and the delivery date, when the purchase amount is calculated by adopting the above formula, three time points t in the formula1,t2,t3The quantity of FBA replenishment needs to be calculated in accordance with the previous replenishment prediction method and also needs to take into account T0To t1,t2,t3The predicted sales over time, i.e.:
it will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.
Claims (9)
1. A cross-border e-commerce purchasing and replenishment method based on Amazon FBA is characterized by comprising the following steps:
(1) determining the quantity of FBA replenishment entering an Amazon warehouse from a local warehouse by adopting a replenishment prediction method, wherein the replenishment prediction method comprises the following steps:
setting parameters of estimated delivery date, head journey days, delivery interval and Amazon safety stock days, calculating predicted sales volume, and simultaneously acquiring FBA stock and in-transit stock;
calculating amazon inventory according to the FBA inventory and the in-transit inventory;
setting a replenishment rule, and calculating the FBA replenishment quantity according to the output quantities of the Amazon inventory and the Amazon warehouse in the replenishment period;
(2) determining the number of purchases from a supplier into a local warehouse by using a purchase prediction method, wherein the purchase prediction method comprises the following steps:
setting purchasing time, purchasing period and local inventory parameters, and calculating the FBA replenishment quantity in the replenishment period;
and calculating the purchasing quantity of the purchasing time according to the inventory of the local warehouse and the output quantity of the local warehouse in the replenishment period.
2. The amazon FBA-based cross-border e-commerce procurement and replenishment method as claimed in claim 1, wherein the amazon inventory is calculated by the following formula:
B(t0)=B1(t0)+B2(t0)
wherein, B (t)0) Amazon stock indicating the estimated delivery date, B1(t0) FBA inventory indicating estimated delivery date, B2(t0) An in-transit inventory representing a projected shipment date.
3. The amazon FBA-based cross-border e-commerce procurement and replenishment method of claim 2, wherein the output quantity of the amazon warehouse within the replenishment cycle comprises a time period t0~t0Predicted sales in + Δ t, time period t0+Δt~t0Predicted sales within + Δ t + τ, and time period t0+Δt+τ~t0Predicted sales within + Δ t + τ + D, where τ represents delivery interval and D represents Amazon safety stock days.
4. The amazon FBA-based cross-border e-commerce procurement and replenishment method of claim 3 wherein the replenishment rules comprise:
when the FBA inventory is sufficient, i.e.In time, the calculation formula of the FBA replenishment quantity is specifically expressed as follows:
5. The amazon FBA-based cross-border e-commerce procurement and replenishment method of claim 4 wherein the replenishment rules further comprise:
when the FBA is in short stock, but the stock in transit is sufficient, i.e. When it is set to t1Date of conversion of in-transit inventory to FBA inventory, date of complete outage of FBA inventory, t23Date of conversion to FBA inventory for expedited restocking;
if t1<t2Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
if t1≥t2And t is3<t2Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
if t1≥t2And t is3≥t2Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
6. the amazon FBA-based cross-border e-commerce procurement and replenishment method of claim 5 wherein the replenishment rules further comprise:
when the FBA is in short stock and the stock is in short stock in transit, that isWhen the temperature of the water is higher than the set temperature,
if t3<t2<t1Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
if t2<t3<t1Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
if t2<t1<t3Then, the calculation formula of the FBA replenishment quantity is specifically expressed as:
7. the amazon FBA-based cross-border e-commerce procurement and replenishment method of claim 6 wherein the output volume of the local warehouse during the replenishment cycle comprises a time period T0~T0+ FBA replenishment demand in L, time period T0+L~T0+2L FBA replenishment demand, and time period T0+2L~T0FBA replenishment demand within +3L, where T0Indicating a procurement time and L indicating a procurement period.
8. The amazon FBA-based cross-border e-commerce procurement and replenishment method according to claim 7, wherein the calculation formula of the procurement quantity of the procurement time is specifically represented as:
I(T0)=f′(ti)-C(T0)
wherein, I (T)0) For purchase time T0Of (d), f' (t)i) According to the time difference between the purchasing time and the replenishment timeCorrected replenishment quantity, C (T)0) And warehousing the local warehouse.
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CN112734320A (en) * | 2020-11-26 | 2021-04-30 | 上海领健信息技术有限公司 | Purchasing task plan generation method, system and terminal |
CN113408981A (en) * | 2021-06-09 | 2021-09-17 | 广东全程云科技有限公司 | Intelligent tracking management method, device and system for automatic part orders |
CN113780611A (en) * | 2020-12-10 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Inventory management method and device |
CN114819831A (en) * | 2022-04-27 | 2022-07-29 | 南京希音电子商务有限公司 | Advance method, device and storage medium based on amazon FBA warehouse |
CN115345719A (en) * | 2022-10-20 | 2022-11-15 | 深圳美云集网络科技有限责任公司 | Cost data missing reminding method based on e-commerce system and related products |
CN115983767A (en) * | 2023-03-21 | 2023-04-18 | 深圳美云集网络科技有限责任公司 | Replenishment method and system based on multiple commodities |
CN116011934A (en) * | 2023-03-21 | 2023-04-25 | 深圳美云集网络科技有限责任公司 | Commodity replenishment method and system based on target inventory |
CN114819831B (en) * | 2022-04-27 | 2024-07-05 | 南京希音电子商务有限公司 | Method, equipment and storage medium for replenishment and dispatch based on Amazon FBA warehouse |
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112734320A (en) * | 2020-11-26 | 2021-04-30 | 上海领健信息技术有限公司 | Purchasing task plan generation method, system and terminal |
CN113780611A (en) * | 2020-12-10 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Inventory management method and device |
CN113408981A (en) * | 2021-06-09 | 2021-09-17 | 广东全程云科技有限公司 | Intelligent tracking management method, device and system for automatic part orders |
CN113408981B (en) * | 2021-06-09 | 2022-08-12 | 广东全程云科技有限公司 | Intelligent tracking management method, device and system for automatic part orders |
CN114819831A (en) * | 2022-04-27 | 2022-07-29 | 南京希音电子商务有限公司 | Advance method, device and storage medium based on amazon FBA warehouse |
CN114819831B (en) * | 2022-04-27 | 2024-07-05 | 南京希音电子商务有限公司 | Method, equipment and storage medium for replenishment and dispatch based on Amazon FBA warehouse |
CN115345719A (en) * | 2022-10-20 | 2022-11-15 | 深圳美云集网络科技有限责任公司 | Cost data missing reminding method based on e-commerce system and related products |
CN115345719B (en) * | 2022-10-20 | 2023-02-14 | 深圳美云集网络科技有限责任公司 | E-commerce system-based cost data loss reminding method and related product |
CN115983767A (en) * | 2023-03-21 | 2023-04-18 | 深圳美云集网络科技有限责任公司 | Replenishment method and system based on multiple commodities |
CN116011934A (en) * | 2023-03-21 | 2023-04-25 | 深圳美云集网络科技有限责任公司 | Commodity replenishment method and system based on target inventory |
CN116011934B (en) * | 2023-03-21 | 2023-09-01 | 深圳美云集网络科技有限责任公司 | Commodity replenishment method and system based on target inventory |
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