JP2000187690A - Method for preparing customer's value map - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a new method for analyzing the purchasing action of a customer at the time of purchasing merchandise in a market from purchase data, and for measuring the customer's values for the specified market. SOLUTION: This method for preparing a customer's value map comprises a purchase quantity classifying step for collecting data constituted of the customer's code of a customer inputted at a selling store and the merchandise code, quantity, purchase sum, and purchase date of merchandise in a prescribed period when the customer purchase merchandise in a specific market, and for classifying the merchandise purchase quantity of a customer or a customer in a household unit by which financial contribution to merchandise in the specific market can be measured into plural hierarchies m based on the data, and a brand purchase concentration level classifying step for classifying the concentration level of the kind of purchased brand by which the level of loyalty or attachment to each brand of merchandise can be measured into plural hierarchies n based on the data, and a customer's value map generating step for dividing customers into m×n cells based on the two classifying steps, and for generating numbers, chart, or graph indicating the purchasing situation of the customer' s group of each cell from the data, and for displaying the data like a map in each m×n cells.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION The present invention relates to a customer who purchases products of various brands in a specific market, from the purchase data of the customer when the customer purchases the market or brand product. This is a way to find out which customers are supported and what kind of purchasing behavior is worth the market and brand products. A new customer value map creating method for displaying a map in a map form.

[0002]

2. Description of the Related Art Conventionally, for example, a method such as ABC analysis has been used to analyze sales and the like at a store, and several top-ranking types of sales in a specific market are selected. Display, sales and promotion activities.

[0003] However, the types of products are increasing along with the diverse needs of customers, and it is not possible to accurately grasp the various values of the products, the types of customers who are purchasing the products, the potential for purchasing, and the like by using only these methods. was there.

[0004]

SUMMARY OF THE INVENTION The present invention has been made in view of the above points, and an object of the present invention is to analyze the purchasing behavior of a customer who purchases a product on the market from the purchasing data. A new method for measuring customer value for a specified market, and a new method for measuring customer value for a specified brand in the market.

[0005]

In order to solve the above-mentioned problems, a method for creating a customer value map according to the present invention is characterized in that when a customer purchases a product in a specific market, the customer code of the customer is input at a store. , Collecting data including a product code, a quantity, a purchase price, and a purchase date of the product for a predetermined period, and making a financial contribution to the specific market based on the purchase quantity, purchase capacity, and the like of a customer or a household unit. A purchase quantity classifying step of classifying the data into a plurality of layers m based on the data, and a degree of loyalty or commitment of the customer to each brand of the product is based on a concentration of the purchased brand type. Based on
The customer is divided into m × n cells based on the brand purchase concentration classifying step of classifying the customer and the two classifying steps, and a number table or a graph showing the purchasing situation of the customer group of each cell is obtained. A step of generating a customer value map corresponding to a market, which is generated from the data, and the data is displayed in a map form in each of m × n cells.

In the present invention, the purchase amount classification step includes arranging each customer in an order of a large purchase amount, setting a customer group occupying up to about 50% of the total purchase amount to a heavy layer, and the total purchase amount from the next rank. Of the total purchase amount is classified into three layers, a light layer and a remaining layer.

In the present invention, in the step of classifying the degree of concentration of brand purchase, the number of purchase brands is determined to be approximately one, and the royal class in which the household has a share of 75% or more, and the number of purchase brands is two to three. Semi-royalty brands with brands within 50% and less than 75% of households that are determined to be within the category, and switcher demographics without brands with undetermined purchase brands and households with 50% or more market share It is characterized by being classified into three layers.

Further, the present invention is characterized in that the number table or the graph indicating the purchase status of the customer group of each cell displays the purchase amount or the share of the purchase amount with respect to the elapsed years for each brand. .

Further, in the present invention, a number table or a graph showing the purchase situation of the customer group of each cell displays the number of customers or households with respect to the elapsed years, the purchase amount per household, or the purchase price. It is characterized by the following.

[0010] Further, the present invention is characterized in that the number table or graph showing the purchase status of the customer group of each cell displays the household composition ratio, purchase price ratio, purchase volume ratio or purchase volume during a predetermined period. And

According to the present invention, the number table or the graph showing the purchase status of the customer group of each cell is obtained by dividing the data collected for the predetermined period into two periods of a preceding period and a following period. The outflow rate of the number of customers or households belonging to the cell to the other cells in the latter period is displayed.

Further, according to the present invention, the number table or the graph showing the purchase status of the customer group of each cell is obtained by dividing the data collected for the predetermined period into two periods of a preceding period and a following period, and The number of customers or the number of households belonging to the cell indicates the inflow rate flowing from each of the other cells in the previous period.

Further, the present invention provides a customer code of a customer input at a store when the customer purchases a product in a specific market.
Data including the product code, the quantity, the purchase price, and the purchase date of the product is collected for a predetermined period, and the financial contribution to the products of a plurality of brands in the specific market is based on the product purchase amount of the customer or household. And a purchase quantity classification step of classifying a plurality of levels P based on the data, and a brand loyalty or a degree of commitment of the customer with respect to a specified brand in the product are determined by a purchase brand type mainly including the specific brand. Based on the degree of concentration, the negative brand loyalty or the degree of commitment is based on the degree of concentration of the type of purchase brand mainly for other brands other than the above-mentioned specific ones. The customer is divided into P × Q cells based on the degree classification step and the two classification steps, and the customer group of each cell is divided. P brand number table indicating the purchase situation or a graph generated from the data, the data respectively
And a step of generating a customer value map corresponding to a brand, which is displayed in a map on x cells.

Further, in the present invention, the purchase amount classification step includes arranging each customer in an order of a large purchase amount, setting a customer layer occupying up to about 50% of the total purchase amount to a heavy layer, and selecting the total purchase amount from the next rank. Of the total purchase amount is classified into three layers, a light layer and a remaining layer.

In the present invention, in the specific brand concentration degree classification step, the specific brand is determined to be about one type, and the royal class in which the household share of the specific brand accounts for 75% or more, and two to three types mainly for the specific brand. Within 50% of households of specific brands
The semi-royal segment, which accounts for less than 5%, the switcher segment, whose brand is not fixed and the household share is 50% or more, and the other brands are determined to be about one type, and the household share of brands other than specific brands Is 7
Other brand royal class, other brands occupying 5% or more, other brands are mainly determined within 2 or 3 types, and non-specific brand brands have a household share of 50% or more and less than 75%. It is characterized by being classified into five layers of other brand semi-royalties.

Further, according to the present invention, the number table or graph showing the purchase status of the customer group of each cell displays at least the composition ratio of the number of customers or households and the composition ratio of the purchase amount or the purchase price. Features.

Further, according to the present invention, the number table or the graph showing the purchase status of the customer group of each cell is obtained by dividing the data collected for the predetermined period into at least two periods and based on the preceding period data and the following period data. Is characterized by displaying the composition ratio of the number of customers or the number of households and the composition ratio of the purchase amount or the purchase price, and displaying the change ratio of the composition ratio between the previous period and the subsequent period.

Further, according to the present invention, the number table or graph showing the purchase status of the customer group of each cell is obtained by dividing the data collected for the predetermined period into two periods of a preceding period and a following period, and dividing each cell into the preceding period. The number of customers or the number of households belonging to the cell indicates the outflow rate flowing out to other cells in the latter period.

Further, according to the present invention, the number table or the graph showing the purchase status of the customer group of each cell is obtained by dividing the data collected for the predetermined period into two periods of a preceding period and a following period, and The number of customers or the number of households belonging to the cell indicates the inflow rate flowing from each of the other cells in the previous period.

[0020]

DESCRIPTION OF THE PREFERRED EMBODIMENTS A method for creating a customer value map according to the present invention will be described with reference to FIGS.

FIG. 1 shows an example of a purchase report in which, when a customer purchases a product, data including a customer code, a purchased product code, a quantity, a purchase price, a purchase date, and the like are input at a store. Created only for the specific market being studied, for example, beer.

This purchase report is collected over a predetermined period. The collected data is divided into a certain period to create a customer value map, and the customer's purchasing behavior is measured and analyzed.

The customer value map includes a "customer value map corresponding to the specified market" for analyzing the specified market, and a "brand specified for the market" for analyzing the brand products specified for the specified market. FIG. 2 shows one embodiment of the former creation method, and FIG. 3 shows one embodiment of the latter creation method.

First, the "market-ready customer value map" will be described with reference to FIG. First, as described above, measurement analysis is performed by dividing collected data at regular intervals (S2).
1) It may be annual or monthly. The latest period as the _{T 0,} the previous period _{T 1,} the before the previous period ... the first period and _T 2 ··· _{T x.} Next, each period _{T 0, T 1, T 2} ··· T to _x of data _D 0, _{D 1}
, And _D 2 ··· _{D x.} Each Data D ₀ of the data D ₁ and the most recent period T ₀ in FIG. 2 prior period T ₁ showing how to create a map.

First, the data D ₁ and D ₀ classify customers as follows. In other words, customers are classified into two categories: a financial contribution to the market to be measured and analyzed and a loyalty (loyalty or commitment) to a specific product in the market. Specifically, assuming that the monetary contribution is based on the purchase amount of goods by the customer or household, the customers are arranged in descending order of purchase amount, and classified into m layers from the top (S22, S).
25). If m = 3, that is, if there are three classifications, they are divided into three layers as follows. H: Heavy tier (customers occupying about 50% of total purchase amount from the top) M: Middle tier (customers occupying approximately 30% of total purchase amount from next rank) L: Light tier (total purchase amount) The rest of the customer segment)

On the other hand, the loyalty for a specific product is based on the degree of concentration of the type of the purchased brand, and the customer is classified into n levels as the degree of concentration is closer to one type (S23, S26). If n = 3, that is, if there are three classifications, they are divided into the following layers. LY: Royal class (purchased brands are determined to be about 1 type) (households with brands that occupy more than 75% of households) SL: Semi-royal class (purchased brands are determined within 2 or 3 types) (Some households have brands that account for 50% or more and less than 75% of households) SW: Switcher segment (Purchased brands have not been determined) (Households without brands that have a household price share of 50% or more)

Next, the customers are grouped into m × n groups. The data D ₁ and D ₀ are also correspondingly divided into m × n pieces. If m = 3 and n = 3, it is divided into 3 × 3, that is, 9 cells. Thereby, a matrix display of the purchase status of each cell can be performed from the divided data (S2).
4, S27).

Furthermore by comparing the divided data of the data D ₀ of the divided data and the most recent period T ₀ of the data D ₁ of the previous period T _1, it is possible to perform a matrix display chart of a change in the purchase situation (S28) .

Next, FIGS. 4 to 7 show specific embodiments relating to the "specified market value customer value map".

FIG. 4 is a customer value map corresponding to the specified market for knowing the basic structure of the specified market to be measured. The number of households purchasing goods in the market and the amount of purchase per household b in the market are calculated for every 9 cells for each period T ₂ , previous period T ₁ , and latest period T ₀ , with the customer as a household unit. It should be noted that the basic structure of the purchase situation may be measured by the purchase capacity or unit per household depending on the product.

FIG. 5 is a specified market-ready customer value map showing the basic structure of the designated year. In each cell, the household composition ratio, the purchase price composition ratio, and the purchase capacity per household are displayed.

FIG. 6 is a specified market-ready customer value map showing the rate of change during the designated year. The rate of change is shown relative to the previous year.

FIG. 7 is a market-specific customer value map showing how the share (%) of the product brands A, B, C, D,... . Note that brands other than the product brands A, B, and C are not shown. FIG. 7 shows the share of each brand A, B, and C in each customer group divided into 9 cells. FIG. 8 does not divide into 9 cells, and the brands A, B, and This shows the change of the C share every month. However, it is displayed one year ago from FIG.

As shown in FIG. 8, product brands A and B
The exchange of shares starts with the month marked with x, but FIG. 7 shows just the month marked with x. In FIG. 8, the brand A is ranked higher until the month of the cross, but the brand B starts after the month of the cross.
The brand B is eventually ranked higher while the top rank is replaced many times. In FIG. 7, the most important customers, that is, the cells of the royal layer LY and the heavy layer H (LY.H) show the same state. Further analysis of FIG. 7 shows that the royal layer LY
In addition, in the cells of the middle layer M (LY · M), the royal layer LY and the light layer L (LY · L), the brand B is already higher than the brand A immediately after the month marked X.
That is, this customer value map has foresight.

As described above, the "specified customer value map corresponding to the market" is a customer group cell (LY.H, a cell close thereto) important for a specific brand product in the market, and a customer group cell (LY.H) important to the market. H, SL ・
H, SW, H cells) and customer group cells (LY, M, LY, L, and cells close to them) that show a foresight to the market, etc. It becomes a matrix display.

Next, as described above, a method of creating a "customer value map corresponding to a brand specified in a market" for analyzing a brand product specified in a market to be measured will be described with reference to FIG.

First, the collected data is divided for each fixed period (year or month), and a map for each period is created with each data (S31). Here, the data D of the previous period _{T 1
1} shows a flowchart for creating a map by classifying customers of data D _{0 in} the latest period T ₀ .

The classification of the customer is performed by dividing the financial contribution to the branded product and the loyalty (loyalty or commitment) to the specified brand and the branded product into two levels.

More specifically, it is assumed that the degree of money contribution depends on the purchase amount of goods by the customer or household, and the customers are arranged in descending order of purchase amount and are classified into P layers from the top (S32, S3).
5). If P = 3, it is divided into three layers as follows. H: Heavy tier (customer occupying up to about 50% of total purchase amount from the top) M: Middle tier (customer occupation of up to about 30% of total purchase amount from next rank) L: Light tier (remaining total purchase amount) Customer base)

On the other hand, the royalties for the specified brands and other brand products other than the specified brands are classified according to the degree of concentration of the type of the purchased brand, and are classified into the Q layer from the one with the highest royalties for the specified brand (S3)
3, S36). If Q = 5, it is divided into five layers as follows. LY: Royal layer (purchased brand is determined to be about 1 type) SL: Semi-royal layer (purchased brand is determined within 2 or 3 types) SW: Switcher layer (purchased brand is not determined) OSL: other OLY: Other brand royalties (purchased brands are about 1 type)

Next, the customer group is divided into P × Q groups. The data D ₁ and D ₀ are also divided into P × Q pieces. If P = 3, Q = 5, the cell is divided into 3 × 5 cells. Thus, a matrix display of the purchase status of each cell can be performed from the divided data (S34, S37).

Further, by comparing the divided data of the data D _{1 in} the previous period T ₁ with the divided data of the data D _{0 in} the latest period T ₀ , it is possible to display a chart matrix of the change in the purchase status (S 38).

9 to 11 show a specific embodiment of the "customer value map corresponding to the brand specified in the market".

FIG. 9 shows a customer value map corresponding to the specified brand of the market to be measured. Here, the customer value map of the previous year and the current year showing the household composition ratio and the composition ratio of the purchase amount respectively for the 15 cells of the concentration of the specified brand and the other brand and the purchase amount of the product of the customer are shown. However, the customer value map at the right end shows the change rate of the current year with respect to the previous year in each cell. This example is an example when the specified brand has grown. In this figure, since the light layer L has a small purchase amount composition ratio, it is shown as a total of 5 cells.

FIG. 10 shows the most important customer group (L
This is a “customer value map corresponding to a brand specified in the market” in a pattern indicating to which customer group the 100 households (YH) flowed out this year. According to FIG. 10, 56 (56%) of 100 remain, and 44% have moved to another customer group, that is, have flowed out. The outflow destination is (L
(Y / M) 22 (22%) and (SL / H) 15 (15%)
And the most in adjacent cells of customer groups.

FIG. 11 shows, in contrast to FIG. 10, a pattern showing “customer value corresponding to the specified brand in the market” in which pattern the 283 of the most important customer group (LY · H) of the current year came from which customer group of the previous year. Map ". According to FIG. 11, 43 out of 100 (43%) have moved from the previous year, and 57% have flowed in from another customer group. The inflow destination is (LY · M) 15 (15%), (SL
H) 18 (18%) and (SWH) 11 (11%) customer groups have many inflow destinations from adjacent cells.

As described above, the “customer value map corresponding to the specified brand in the market” defines the cells of the high-quality customer group for the specified brand, and measures the trend to obtain the high-quality customer group (LY. H),
It is possible to grasp the degree and pattern of maintaining and leaving good customers and the growth degree and pattern of becoming good customers in cells such as (LY · M), (SL · H) and (SL · M). Further, based on the degree and pattern of the attitude change of the excellent customer, for example, the effect of the marketing market activity such as advertisement is analyzed and used for the decision-making on the subsequent treatment.

[0048]

According to the method for creating a customer value map according to the present invention, the following effects can be obtained since the above-described configuration is employed. (1) With the specified customer value map corresponding to the market, it is possible to measure and analyze the customer group important for the market and the product more accurately than before. (2) It is also possible to grasp customer groups that have a foresight in the market, and to make effective subsequent decision-making in combination with the analysis result of (1). (3) By using the customer value map corresponding to the specified brand in the market, a good customer group for the specified brand can be measured and analyzed, and the degree and pattern of retention, withdrawal, growth, etc. of the good customer can be grasped. (4) Further, based on the degree and pattern of the attitude change of the excellent customer, the effect of the marketing market activity such as the advertisement is analyzed, and the decision on the subsequent measures can be accurately made.

[Brief description of the drawings]

FIG. 1 is a chart showing a purchase report.

FIG. 2 is a flowchart of a method for creating a specified market-ready customer value map according to the present invention.

FIG. 3 is a flowchart of a method for creating a customer value map corresponding to a specified brand in a market according to the present invention.

FIG. 4 is an embodiment of a specified market-compatible customer value map (the number of households and the purchase price for each period).

FIG. 5 is an embodiment of a specified market-ready customer value map (designated year).

FIG. 6 is an embodiment of a specified market-ready customer value map (change rate between designated years).

FIG. 7 is an embodiment of a specified market-ready customer value map (change in brand share every month).

FIG. 8 is a view showing a change in monthly brand share of a specified market.

FIG. 9 is an embodiment of a customer value map corresponding to a brand specified in the market (households for each fiscal year, purchase amount composition ratio, and the rate of change between fiscal years).

FIG. 10 is an embodiment of a customer value map corresponding to a brand specified in a market (an outflow pattern of the best customer group).

FIG. 11 is an embodiment of a customer value map corresponding to a brand specified in the market (inflow pattern of the best customer group).

[Explanation of symbols]

LY Royal layer D ₀ , D ₁ , D ₂ Data H Heavy layer L Light layer M Middle layer OLY Other brand royal layer OSL Other brand semi-royal layer SL Semi-royal layer SW Switcher layer T ₀ , T ₁ , T ₂ latest, previous , Each period before

 ──────────────────────────────────────────────────続 き Continued on the front page F term (reference) 3E042 CD04 CD08 CD10 5B049 BB11 BB49 CC05 CC08 CC31 EE01 FF03 FF04 GG09 9A001 GG05 JJ56

Claims (15)

[Claims] When a customer purchases a product in a specific market, the customer collects data including a customer code, a product code, a quantity, a purchase amount, and a purchase date of the customer input at a store for a predetermined period, The monetary contribution to the specific market is based on the purchase amount, purchase quantity, purchase capacity, and the like of the product of the customer or the customer per household. And a step of classifying the degree of loyalty or commitment of the customer to each brand of the product according to the degree of concentration of the type of purchase brand, and classifying the degree of brand purchase into a plurality of levels n based on the data; The customer is divided into m × n cells based on two classification steps, and a number table or graph showing the purchase status of the customer group of each cell is generated from the data, and How to create customer value map which is characterized by comprising the market corresponding customer value map generation step of displaying the data in the map shape of m × n cells, respectively. 2. The purchase amount classifying step includes arranging each customer in an order of a large purchase amount, allocating a customer class occupying up to about 50% of the total purchase amount to a heavy tier, and arranging about 30% of the total purchase amount from the next rank. 2. The method according to claim 1, wherein up to% is classified into a middle tier, and the remaining customer tier of the total purchase price is categorized into three tiers, a light tier. 3. The brand purchase concentration classifying step comprises the steps of determining that the number of purchase brands is about one, the royal class in which there is a brand having a household share of 75% or more, and the number of purchase brands within two to three. It is decided,
Semi-royalty brands that have a household share of 50% or more and less than 75%, and switcher tiers where there is no brand whose purchase is not determined and there is no brand that has a household share of 50% or more. 3. The method according to claim 1, wherein the customer value map is created. 4. The number table or graph showing the purchase status of the customer group in each cell displays the purchase amount or the share of the purchase amount with respect to the elapsed year for each brand. , 2 or 3 described above. 5. The number table or graph showing the purchase status of the customer group of each cell displays the number of customers or households with respect to the elapsed years, the purchase amount per household, or the purchase amount. The method for creating a customer value map according to claim 1, 2, or 3. 6. A numerical table or graph showing the purchase status of the customer group of each cell is a household composition ratio in a predetermined period,
4. The method according to claim 1, wherein the purchase amount ratio, the purchase amount ratio or the purchase amount is displayed. 7. A numerical table or graph showing the purchase status of the customer group of each cell, wherein the data collected for the predetermined period is divided into two periods of a preceding period and a following period, and belonging to each cell in the preceding period. The outflow rate at which the number of customers or households that have flowed out to other cells in the latter period is displayed.
2. The customer map creation method according to 2 or 3. 8. A numerical table or graph showing the purchase status of the customer group of each cell, wherein the data collected for the predetermined period is divided into two periods of a preceding period and a following period, and belongs to each cell in the latter period. 4. The customer map creating method according to claim 1, wherein the number of customers or the number of households indicates an inflow rate flowing from each of the other cells in the previous period. 9. When a customer purchases a product in a specific market, data including a customer code of the customer, a product code of the product, a quantity, a purchase price, and a purchase date input at a store is collected for a predetermined period. A purchase amount classifying step of classifying a plurality of levels P based on the data, based on the data, assuming that the financial contribution to the products of a plurality of brands in the specific market is based on the purchase amount of the products by a customer or a household; The brand loyalty or commitment degree of the customer with respect to the specified brand is based on the concentration of purchased brand type mainly on the specific brand,
The negative brand loyalty or degree of commitment is based on the purchase brand type concentration degree mainly for other brands other than the specific one, and a specific brand concentration degree classification step of classifying a plurality of layers Q based on the data, The customer is divided into P × Q cells based on the two classification steps, and a number table or a graph showing the brand purchase status of the customer group of each cell is generated from the data, and the data is P × Q each. A method for generating a brand-specific customer value map that is displayed in a map on Q cells. 10. The purchase amount classification step includes arranging each customer in an order of a large purchase amount, setting a customer class occupying up to about 50% of the total purchase amount to a heavy class, and starting from the next order, occupying about 30% of the total purchase amount. 10. The method of creating a customer value map according to claim 9, wherein up to% is classified into a middle tier, and the remaining customer tier of the total purchase price is categorized into three tiers, a light tier. 11. The step of classifying the degree of concentration of the specific brand is performed in such a manner that the specific brand is determined to be approximately one type, and the royal class in which the household share of the specific brand accounts for 75% or more, and the specific brand is determined to be within two or three types. The semi-royal segment, which has a specific brand's household share of 50% or more and less than 75%, the switcher segment of a specific brand purchase where there is no brand to be purchased and the household share is 50% or more, and other brands About one type, brand other than the specific brand occupies 75% or more of the household's share in the household Other brand royal class, other brands are mainly purchased within 2 or 3 types, other brands other than the specific brand Of other brands with 50% or more but less than 75% of households The method according to claim 9 or 10, wherein the royalties are classified into five layers. 12. The number table or graph showing the purchase status of the customer group of each cell displays at least the composition ratio of the number of customers or households and the composition ratio of the purchase amount or the purchase price. The method for creating a customer value map according to claim 9, 10 or 11. 13. A numerical table or graph showing the purchase status of the customer group of each cell, wherein the data collected for the predetermined period is divided into at least two periods, and each data is divided into at least two periods based on the preceding period data and the following period data. The composition ratio of the number of customers or the number of households and the composition ratio of the purchase amount or the purchase price are displayed, and the change ratio of the composition ratio between the previous period and the subsequent period is displayed. Or the customer value map creation method described in 11. 14. A numerical table or graph showing the purchase status of the customer group of each cell, wherein the data collected for the predetermined period is divided into two periods of a previous period and a subsequent period, and the data belongs to each cell in the previous period. 12. The customer value map creation method according to claim 9, 10 or 11, wherein the number of customers or the number of households indicates the outflow rate flowing out to each of the other cells in the latter period. 15. A numerical table or graph showing the purchase status of the customer group in each cell, wherein the data collected in the predetermined period is divided into two periods of a preceding period and a following period, and belongs to each cell in the latter period. 12. The customer value map creation method according to claim 9, 10 or 11, wherein the number of customers or the number of households indicates an inflow rate flowing from each of the other cells in the previous period.