TWM638928U - Intelligent timing marketing system - Google Patents
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Abstract
一種智能時序行銷系統，主要技術是，資料儲存裝置儲存一產品時序資料集，產品時序資料集包含多筆新戶交易資料，每一新戶交易資料包含一客戶辨識碼、開戶時間、多項已購買金融產品、多項已購買金融產品的每一的交易時間、多項已購買金融產品的交易順序。建模設備根據一待推薦客戶辨識碼、待推薦客戶辨識碼已購買的第一項金融產品與產品時序資料集產生一個人化推薦資訊，個人化推薦資訊包括一待推薦客戶辨識碼、多項推薦金融產品。行銷設備根據待推薦客戶辨識碼與個人化推薦資訊產生一目前推薦名單。An intelligent time-series marketing system, the main technology is that the data storage device stores a product time-series data set, the product time-series data set includes multiple new account transaction data, and each new account transaction data includes a customer identification code, account opening time, multiple items purchased The financial product, the transaction time of each of multiple purchased financial products, and the transaction sequence of multiple purchased financial products. The modeling device generates a personalized recommendation information based on the identification code of a customer to be recommended, the first financial product purchased by the customer identification code to be recommended, and the product time series data set. The personalized recommendation information includes a customer identification code to be recommended, multiple recommended financial products product. The marketing device generates a current recommendation list according to the customer identification code to be recommended and the personalized recommendation information.
Description
本新型是有關於一種行銷系統，特別是指一種智能時序行銷系統。The present invention relates to a marketing system, in particular to an intelligent sequential marketing system.
由於新往來客戶缺乏過往交易紀錄，只有新往來客戶開戶當時的屬性資料，使得現有的金融科技可用以分析的資料不足，而無法對客戶未來期望的金融產品進行預測及推薦，且由於多數新往來客戶在未有持續銷售其他金融產品的情形下，僅有活存帳戶交易，導致新往來客戶容易轉成靜止戶或甚至流失，在專利CN110223107A提出一種基於相似對象的參考廣告確定方法、裝置和設備，雖然有提及關於新往來客戶的處理技術，但是其技術手段是在目標對象為銀行的新客戶的情況下，目標對象沒有歷史交易數據，是以風險偏好、收入層次、工作行業、產品偏好、消費水平等客戶屬性來計算客戶相似度，而沒有根據歷史金融產品交易數據，導致仍然無法克服對新進客戶未來期望的金融產品進行預測及推薦的問題，因此，如何利用金融科技提高新往來客戶與銀行的密切關係，降低客戶流失是未來研究方向。Due to the lack of past transaction records of new customers, only the attribute data of new customers at the time of account opening, the existing financial technology can not analyze the data, and it is impossible to predict and recommend financial products that customers expect in the future, and because most new customers In the absence of continuous sales of other financial products, customers only have live account transactions, resulting in new customers easily turning into static accounts or even lost. Patent CN110223107A proposes a method, device and equipment for determining reference advertisements based on similar objects , although it mentions the processing technology of new customers, but its technical means is in the case that the target object is a new customer of the bank, and the target object has no historical transaction data. , consumption level and other customer attributes to calculate customer similarity, but not based on historical financial product transaction data, resulting in still unable to overcome the problem of predicting and recommending financial products that new customers expect in the future. Therefore, how to use financial technology to improve new customers? The close relationship with the bank and the reduction of customer churn are future research directions.
因此，本新型的一目的，即在提供一種能夠克服先前技術缺點的智能時序行銷系統。Therefore, one purpose of the present invention is to provide an intelligent timing marketing system capable of overcoming the shortcomings of the prior art.
於是，該智能時序行銷系統包含一資料儲存裝置、一建模設備，與一行銷設備。Therefore, the intelligent timing marketing system includes a data storage device, a modeling device, and a marketing device.
資料儲存裝置儲存一產品時序資料集，產品時序資料集包含多筆新戶交易資料，每一新戶交易資料包含一客戶辨識碼、開戶時間、多項已購買金融產品、該多項已購買金融產品的每一的交易時間、該多項已購買金融產品的交易順序，其中，該多項已購買金融產品包括一台幣定存、外幣活存、外幣定存、基金、智能理財、人身保險、房貸、信貸、黃金存摺、房貸壽險的至少之二。The data storage device stores a product time-series data set. The product time-series data set includes multiple new account transaction data. Each new account transaction data includes a customer identification code, account opening time, multiple purchased financial products, and the multiple purchased financial products. The transaction time of each transaction and the transaction sequence of the multiple purchased financial products, among which the multiple purchased financial products include Taiwan currency fixed deposit, foreign currency live deposit, foreign currency fixed deposit, fund, smart wealth management, life insurance, mortgage, credit, Gold passbook, at least two of mortgage life insurance.
建模設備電連接該資料儲存裝置，以接收該產品時序資料集，且根據一待推薦客戶辨識碼、該待推薦客戶辨識碼已購買的第一項金融產品與該產品時序資料集產生一個人化推薦資訊，該個人化推薦資訊包括一待推薦客戶辨識碼、一產品推薦路徑的多項推薦金融產品、每一推薦金融產品具有一時間區間，其中，該時間區間的定義是該推薦金融產品的建議交易時間距離該待推薦客戶辨識碼的開戶時間的一時間差。The modeling device is electrically connected to the data storage device to receive the product time-series data set, and generates a personalized product according to a customer identification code to be recommended, the first financial product purchased by the customer identification code and the product time-series data set Recommendation information, the personalized recommendation information includes a customer identification code to be recommended, a number of recommended financial products on a product recommendation path, and each recommended financial product has a time interval, wherein the definition of the time interval is the recommendation of the recommended financial product A time difference between the transaction time and the account opening time of the customer identification code to be recommended.
行銷設備具有一行銷活動資料庫，且電連接該產品整合裝置以接收該個人化推薦資訊儲存在該行銷活動資料庫，且根據該待推薦客戶辨識碼的開戶時間及開戶目的與該個人化推薦資訊與一目前時間，產生一目前推薦名單，該推薦名單包括該待推薦客戶辨識碼、一目前推薦金融產品，其中，該開戶目的是相關於該待推薦客戶辨識碼已購買的第一項金融產品，該目前推薦金融產品的定義是該時間區間所對應的該推薦金融產品，該時間區間相關於該目前時間與該開戶時間的一時間差。The marketing equipment has a marketing activity database, and is electrically connected to the product integration device to receive the personalized recommendation information stored in the marketing activity database, and according to the account opening time and account opening purpose of the customer identification code to be recommended and the personalized recommendation Information and a current time to generate a current recommendation list, the recommendation list includes the customer identification code to be recommended and a currently recommended financial product, wherein the purpose of opening an account is the first financial product that has been purchased related to the customer identification code to be recommended Product, the currently recommended financial product is defined as the recommended financial product corresponding to the time interval, and the time interval is related to a time difference between the current time and the account opening time.
本新型的功效在於：應用客戶同質相近的原理，新戶產品路徑滲透模型根據新進客戶所購買的第一項金融產品作為開戶目的，以預測後續不同時間點所要推薦的金融產品，克服無法對新進客戶進行預測及產品推薦的問題。The effect of this new model is: applying the principle of homogeneous and similar customers, the product path penetration model for new customers uses the first financial product purchased by new customers as the purpose of opening an account, so as to predict the financial products to be recommended at different time points in the future, and overcome the inability to identify new customers Questions for customers to make predictions and product recommendations.
在本新型被詳細描述前，應當注意在以下的說明內容中，類似的元件是以相同的編號來表示。Before the present invention is described in detail, it should be noted that in the following description, similar elements are denoted by the same numerals.
參閱圖1，為本新型智能時序行銷系統的一實施例，利用客戶同質相近的原理，藉由分析相同開戶目的之新客戶在往來後的產品購買行為及時間順序，結合人工智慧分析大數據資料產生符合相同目的之客戶的金融產品推薦路徑，根據時間順序預測其往來之後的分別於不同時間點透過系統自動依序推薦金融商品，以數位科技的方式提供客戶適切的個人化行銷資訊，其中，智能時序行銷系統包含一資料儲存裝置1、一建模設備2、一行銷設備3與一通路設備4。Referring to Figure 1, it is an embodiment of the new intelligent time-series marketing system. Using the principle of homogeneous and similar customers, by analyzing the product purchase behavior and time sequence of new customers with the same purpose of opening an account, combined with artificial intelligence to analyze big data data Generate financial product recommendation paths for customers who meet the same purpose, predict their contacts according to the time sequence, and automatically recommend financial products sequentially through the system at different time points, and provide customers with appropriate personalized marketing information in the form of digital technology. Among them, The intelligent timing marketing system includes a data storage device 1 , a
資料儲存裝置1儲存一產品時序資料集與一細項資料集，在本實施例，產品時序資料集包含多筆新戶交易資料，每一新戶交易資料主要是以過去二年內，首次與本行往來的新客戶為分析母體，並觀察分析母體於一年內的金融產品的購買交易情形，具體而言，每一新戶交易資料包含一客戶辨識碼(例如身分證碼、護照號碼)、開戶目的、開戶時間、多項已購買金融產品、該多項已購買金融產品的每一的交易時間、該多項已購買金融產品的交易順序、客戶屬性(例如薪轉戶、非薪轉戶)，其中，該多項已購買金融產品包括一台幣定存、外幣活存、外幣定存、基金、智能理財、人身保險、房貸、信貸、黃金存摺、房貸壽險的至少之二，其中，該新戶交易資料符合一第一時間區間與一第二時間區間則設定為一新客戶資訊，該第一時間區間的定義從該目前時間到一過去時間的第一時間差，第二時間區間的定義從該開戶時間開始經過一第二時間差，新戶交易資料包括在該第二時間差之間所有已購買的金融產品，該第一時間差是二年，該第二時間差是一年。The data storage device 1 stores a product time-series data set and a detailed item data set. In this embodiment, the product time-series data set includes multiple new account transaction data. The new customer of the bank is the analysis parent company, and observe and analyze the financial product purchase transactions of the parent company within one year. Specifically, each new account transaction data includes a customer identification code (such as ID card number, passport number) , account opening purpose, account opening time, multiple purchased financial products, the transaction time of each of the multiple purchased financial products, the transaction sequence of the multiple purchased financial products, customer attributes (such as salary transfer account, non-salary transfer account), Among them, the multiple purchased financial products include at least two of Taiwan currency fixed deposit, foreign currency live deposit, foreign currency fixed deposit, fund, smart wealth management, personal insurance, mortgage, credit, gold passbook, and mortgage life insurance. Among them, the new account trades If the data matches a first time interval and a second time interval, it is set as a new customer information. The first time interval is defined as the first time difference from the current time to a past time. The second time interval is defined from the account opening Time begins to pass through a second time difference, and the new account transaction data includes all purchased financial products during the second time difference, the first time difference is two years, and the second time difference is one year.
其中，細項資料集主要是指金融產品的細項，例如，金融產品是基金，基金的細項產品包括股票型基金、債券型基金、貨幣型基金、平衡型基金、組合型基金、國外債等六類基金細項。細項資料集包括多筆細項交易資料，每一細項交易資料包含細項產品、細項產品的購買次數、細項產品的金額、客戶屬性，其中，客戶屬性包括性別、年齡、教育程度、該開戶目的、風險評估分析的至少之一。Among them, the detailed data set mainly refers to the detailed items of financial products. For example, the financial product is a fund, and the detailed products of the fund include stock funds, bond funds, currency funds, balanced funds, fund of funds, foreign debt and other six types of fund details. The detailed data set includes multiple detailed transaction data, each detailed transaction data includes detailed products, purchase times of detailed products, amount of detailed products, and customer attributes, among which customer attributes include gender, age, education level , the purpose of opening the account, and at least one of risk assessment and analysis.
建模設備2電連接該資料儲存裝置1，以接收該產品時序資料集，且根據一待推薦客戶辨識碼、該待推薦客戶辨識碼已購買的第一項金融產品與該產品時序資料集產生一個人化推薦資訊，該個人化推薦資訊包括待推薦客戶辨識碼、一產品推薦路徑的多項推薦金融產品、每一推薦金融產品具有一時間區間，其中，該時間區間的定義是該推薦金融產品的建議交易時間距離該待推薦客戶辨識碼的開戶時間的一時間差，其中，該建模設備2包括一產品路徑裝置21、一細項偏好裝置22，與一產品融合裝置23。The
產品路徑裝置21電連接該資料儲存裝置1，以讀取產品時序資料集，由新戶交易資料中的各項已購買金融產品的交易時間進行先後排序，並計算該交易時間距離該客戶的開戶時間的時間區間，將客戶的第一項交易的金融產品訂定為其開戶目的商品，將客戶歸類，第一項交易的金融產品相同者，即視為相同開戶目的，並列出相同開戶目的者所有的交易路徑，以路徑人數最大者訂為最大滲透路徑，如表一，例如，由房貸 、信貸 、房貸、壽險 、外匯活存所組成的路徑的人數最多，所以設定以房貸為開戶目的的最大滲透路徑是房貸 →信貸 →房貸壽險 →外匯活存。且分別計算信貸的時間區間、房貸壽險的時間區間、外匯活存的時間區間各自的平均值，用來決定將在客戶開戶時間的第幾個月後進行金融產品的銷售。The
表一
具體而言，產品路徑裝置21執行一第一機器學習演算法，在本實施例中，第一機器學習演算法包括一決策樹(Decision tree)演算法，該第一機器學習演算法根據該產品時序資料集進行訓練產生一新戶產品路徑滲透模型，該新戶產品路徑滲透模型具有多個產品推薦路徑，每一產品推薦路徑具有一第一項金融產品、接續該第一項金融產品後的多項推薦金融產品、該多項推薦金融產品的順序、每一推薦金融產品的時間區間，例如，有二個產品推薦路徑，其中一產品推薦路徑是房貸 →信貸 →房貸壽險 →外匯活存，其中，房貸就是第一項金融產品、多項推薦金融產品及其順序就分別是信貸 →房貸壽險 →外匯活存，另一產品推薦路徑是外匯活存→外匯定存→保險→基金，其中，外匯活存就是第一項金融產品、多項推薦金融產品及其順序就分別是外匯定存→保險→基金。Specifically, the
進一步說明如何決定每一條產品推薦路徑，第一機器學習演算法根據該多項已購買金融產品的每一的交易時間產生一產品順序，且根據該多個第一項已購買金融產品相同者設定成一相同開戶目的(以表一為例，是以房貸作為相同開戶目的)，該第一項已購買金融產品的定義是從該開戶時間起算的時間點第一次購買的金融產品，且產品路徑裝置根據該產品順序、該相同開戶目的、接續該相同開戶目的所購買的剩餘金融產品產生一滲透路徑資訊，該滲透路徑資訊具有多條滲透路徑，其中，剩餘金融產品的定義是該滲透路徑的非第一項已購買金融產品的其他金融產品，每一條產品路徑具有該相同開戶目的、人數值、多個時間區間所分別對應的金融產品，且將具有該人數值的最大值的產品路徑設定成一最大滲透路徑以作為該產品推薦路徑，其中，時間區間的定義是路徑上的剩餘已購買金融產品的交易時間距離該客戶的開戶時間的時間差，例如，以表一為例，信貸的時間區間是二個月、房貸壽險的時間區間是四個月、外匯活存的時間區間是六個月。Further explaining how to determine each product recommendation path, the first machine learning algorithm generates a product order according to the transaction time of each of the multiple purchased financial products, and sets a product order according to the multiple first purchased financial products that are the same For the same purpose of opening an account (taking Table 1 as an example, housing loans are used as the same purpose of opening an account), the definition of the first purchased financial product is the financial product purchased for the first time from the time of opening the account, and the product path device According to the product sequence, the same account opening purpose, and the remaining financial products purchased following the same account opening purpose, a penetration path information is generated. The penetration path information has multiple penetration paths, wherein the definition of the remaining financial products is the non-partition of the penetration path. For other financial products that have been purchased in the first item, each product path has financial products corresponding to the same account opening purpose, number of people, and multiple time intervals, and the product path with the maximum value of the number of people is set as one The maximum penetration path is used as the product recommendation path, where the time interval is defined as the time difference between the transaction time of the remaining purchased financial products on the path and the account opening time of the customer. For example, taking Table 1 as an example, the time interval of credit is Two months, the time interval of mortgage life insurance is four months, and the time interval of foreign exchange live deposit is six months.
細項偏好裝置22電連接該資料儲存裝置1，以讀取細項資料集，且執行一第二機器學習演算法，第二機器學習演算法包括一隨機森林 (random forests)演算法，第二機器學習演算法根據該進行訓練，產生一細項推薦模型，例如，細項推薦模型是用以預測客戶在股票型基金、債券型基金、貨幣型基金、平衡型基金、組合型基金、國外債等六類基金細項商品的偏好順序。The detailed
產品路徑裝置21接收一待推薦客戶辨識碼與一待推薦客戶所購買的第一項金融產品，該產品路徑裝置21執行該新戶產品路徑滲透模型，該新戶產品路徑滲透模型根據該待推薦客戶所購買的第一項金融產品產生一對應該第一項金融產品的產品推薦路徑，作為一對應該待推薦客戶辨識碼的產品路徑結果。The
細項推薦模型22接收一待推薦客戶辨識碼與一待推薦客戶屬性，該待推薦客戶資料包括該待推薦客戶辨識碼的客戶屬性與細項交易資料，且根據該待推薦客戶資料與該細項資料集進行匹配度運算產生多個匹配度分數，且根據該多個匹配度分數產生一對應該待推薦客戶辨識碼的偏好評分結果，該偏好評分結果包括該多個匹配度分數的最大值所對應的細項產品、該待推薦客戶辨識碼，例如，細項推薦模型記錄三筆細項交易資料所對應的基金的細項產品分別是債券型基金、貨幣型基金、平衡型基金，其中，債券型基金的匹配度分數最大，則將該債券型基金設定為偏好評分結果。The detailed
產品融合裝置23電連接該產品路徑裝置21與該細項偏好裝置22，以接收該產品路徑結果與該偏好評分結果，且將該產品路徑結果與該偏好評分結果進行融合產生一個人化推薦資訊，該個人化推薦資訊包括該待推薦客戶辨識碼、該產品推薦路徑的該多項推薦金融產品、每一推薦金融產品所對應的產品細項，例如，對應某客戶的待推薦客戶辨識碼的最大滲透路徑為「外匯活存-＞外匯定存-＞一般基金」，其中，以一般基金的金融產品為例，便會以該客戶的基金所推薦的產品細項的偏好評分結果，來設定是銷售前述六類基金的其中之一，以更貼近客戶喜好提升成交率。The
行銷設備3具有一行銷活動資料庫，且電連接該產品融合裝置23以接收該個人化推薦資訊儲存在該行銷活動資料庫，且根據該開戶時間與該個人化推薦資訊，產生一目前推薦名單，該推薦名單包括該待推薦客戶辨識碼、一目前推薦金融產品與一目前推薦產品細項，其中，當一目前時間區間符合該推薦時間區間時，該推薦時間區間所對應的該推薦金融產品設定是該目前推薦金融產品，該目前時間區間定義是該目前時間與該開戶時間的時間差。由於新客戶因資料尚新，且交易頻率相對高，故聯絡成功比率亦高，而隨著往來時間拉長，如無經營維繫，有可能發生活動比率逐漸下降，關係轉為薄弱，忠誠度降低，甚至轉為不活動戶或流失，因此，在新進客戶開戶後的黃金時期由行銷設備在特定時間點產生推薦名單，以及時經營行銷相當重要，在此舉例說明，例如，產品路徑裝置21計算以外匯活存為開戶目的者，最大滲透路徑為:外匯活存→外匯定存→保險→基金，且時序為外匯定存在開戶後第二個月，保險在開戶後第六個月，基金在開戶後第八個月；最大滲透路徑的外匯定存建議交易時間是第二個月，行銷設備3從該行銷活動資料庫每月篩選開戶目的為外匯活存者，且開戶時間至目前時間已符合二個月的新往來客戶名單，則目前推薦金融產品是外匯定存；保險建議交易時間是第六個月，行銷設備3從該行銷活動資料庫每月篩選開戶目的為外匯活存者，且開戶時間至目前時間符合六個月的新往來客戶名單，並查詢新往來客戶名單的每位客戶對應的個人化推薦資訊的保險細項是人身保險；基金建議交易時間是第八個月，行銷設備3從該行銷活動資料庫每月篩選開戶目的為外匯活存者，且開戶時間至目前時間符合八個月的新往來客戶名單，並查詢對應的基金細項偏好模型評分結果，決定客戶應推薦的基金種類，以推薦基金的細項產品。The marketing device 3 has a marketing activity database, and is electrically connected to the
通路設備4電連接該行銷設備3，以接收該目前推薦名單，且根據該目前推薦名單產生一銷售資訊，且將該銷售資訊傳輸到一客戶端設備5，其中，該傳輸包括行動推撥、簡訊、電子郵件的至少之一。通路設備4產生一回饋資訊到行銷設備3，以儲存到該行銷活動資料庫，其中，該回饋資訊包括一指示是否成功接觸客戶的資訊、成功接觸的裝置、有無點擊連結的資訊、成功接觸的時間資訊、部分結果資訊，該部分結果資訊包括透過連結購買的金融商品、金額、筆數，且行銷設備3將該部分結果資訊儲存到資料儲存裝置，該部分結果資訊用以更新產品時序資料集，使新戶產品路徑滲透模型根據更新後的產品時序資料集來調校產品推薦路徑。The access device 4 is electrically connected to the marketing device 3 to receive the current recommendation list, and generate a sales information according to the current recommendation list, and transmit the sales information to a client device 5, wherein the transmission includes mobile pushing, dialing, At least one of SMS, email. The channel device 4 generates a feedback information to the marketing device 3 for storage in the marketing activity database, wherein the feedback information includes information indicating whether the customer is successfully contacted, the device that is successfully contacted, information on whether there is a click on the link, and information on the successful contact. Time information, part of the result information, the part of the result information includes the financial product purchased through the link, the amount, and the number of transactions, and the marketing device 3 stores the part of the result information in the data storage device, and the part of the result information is used to update the product timing data set , so that the product path penetration model for new users adjusts the product recommendation path according to the updated product timing data set.
綜上所述，上述實施例具有以下優點：一、 應用客戶同質相近的原理，新戶產品路徑滲透模型根據新進客戶所購買的第一項金融產品作為開戶目的，以預測後續不同時間點所要推薦的金融產品，克服無法對新進客戶進行預測及產品推薦的問題。二、並根據細項推薦模型所計算的一關於客戶屬性的匹配度分數，結合預測客戶對金融產品的細項產品的偏好，更有助於提高產品滲透率。三、 與客戶建立往來關係後，行銷設備根據個人化推薦資訊，在不同的時間點透過通路設備主動推薦商品，加強了客戶經營維繫的力道，且 提高新客戶與本行的密切關係，降低客戶轉靜止或流失。四、與回饋資訊相關的更新後的產品時序資料集，用來使新戶產品路徑滲透模型調校產品推薦路徑，更提高預測準確度。To sum up, the above-mentioned embodiment has the following advantages: 1. Applying the principle of homogeneity and similarity of customers, the product path penetration model for new customers uses the first financial product purchased by new customers as the purpose of opening an account to predict the subsequent recommendation at different time points Financial products to overcome the problem of being unable to predict and recommend products for new customers. 2. According to the matching score of customer attributes calculated by the detailed item recommendation model, combined with the prediction of customer preference for detailed financial products, it is more helpful to increase product penetration. 3. After establishing a relationship with the customer, the marketing equipment will actively recommend products through the channel equipment at different points in time according to the personalized recommendation information, which strengthens the strength of customer management and maintenance, and improves the close relationship between new customers and the Bank, reducing the number of customers Turn static or drain. 4. The updated product time-series data set related to the feedback information is used to make the new user product path penetration model adjust the product recommendation path and improve the prediction accuracy.
惟以上所述者，僅為本新型的實施例而已，當不能以此限定本新型實施的範圍，凡是依本新型申請專利範圍及專利說明書內容所作的簡單的等效變化與修飾，皆仍屬本新型專利涵蓋的範圍內。But the above-mentioned person is only the embodiment of the present invention, and should not limit the scope of implementation of the present invention with this, and all simple equivalent changes and modifications made according to the patent scope of the present application and the content of the patent specification are still within the scope of the present invention. Within the scope covered by this patent.
1:資料儲存裝置 21:產品路徑裝置 22:細項偏好裝置 23:產品融合裝置 3:行銷設備 4:通路設備 5:客戶端設備 1: data storage device 21: Product routing device 22: Detailed item preference device 23: Product fusion device 3: Marketing equipment 4: Access equipment 5: Client device
本新型的其他的特徵及功效，將於參照圖式的實施方式中清楚地呈現，其中： 圖1是本新型智能時序行銷系統的一實施例的系統圖。 Other features and effects of the present invention will be clearly presented in the implementation manner with reference to the drawings, wherein: Fig. 1 is a system diagram of an embodiment of the new intelligent sequential marketing system.
1:資料儲存裝置 1: data storage device
21:產品路徑裝置 21: Product routing device
22:細項偏好裝置 22: Detailed item preference device
23:產品融合裝置 23: Product fusion device
3:行銷設備 3: Marketing equipment
4:通路設備 4: Access equipment
5:客戶端設備 5: Client device
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