| 摘要: | 隨著雲端服務以及網際網路和電子商務的發展，企業得以與顧客進行一對一接觸並提供電子化的服務。然而，雲端服務與網際網路的便利性，使得網路行銷的競爭優勢多於傳統的行銷市場，顧客也因選擇性增多而忠誠度降低。因此，如何吸引顧客是企業經營的一大挑戰。 提供雲端服務客製化產品服務以符合顧客需求是一種解決問題的方式。本文提出一個雲端服務客製化產品資訊系統，以幫助企業能於網際網路中提供客製化產品行銷，以符合客製化的產品消費需求，藉此達到刺激顧客購買意願，以增加銷售量。本文提出的雲端服務資訊系統發展策略架構包含三個構成要素：(1) 電子商務服務； (2) 促銷類型模組； (3) 雲端服務客製化促銷產品。 首先，制定電子商務服務，並以銷售促銷策略為理論基礎；其次，先利用類神經網路中的自適應共振理論(Adaptive Resonance Theory Network, ART)進行市場區隔後，再運用資料探勘技術中的關聯規則探勘(Association Rule Mining)及序列型樣探勘(Sequential Pattern Mining)有效率地分析顧客（包括所有顧客、族群顧客以及個別顧客）消費行為，找出候選促銷產品；最後，利用雲端服務評估指標對候選促銷產品進行評估以產生最終的促銷產品。另一方面，除了雲端服務客製化的促銷產品外，促銷產品的促銷價將隨顧客的不同而調整。盼能藉由以主動的雲端服務客製化促銷產品與價格，提高顧客忠誠度並且增加企業利潤。
With the development of cloud services and the Internet and e-commerce, enterprise to one-to-one contact with customers and the delivery of electronic services. However, cloud services and the convenience of the Internet, makes the network marketing of competitive advantage than traditional marketing, customer loyalty due to selective increase reduces. Therefore, how to attract customers is a big business challenge. The paper presents a cloud service customized product information system, to help businesses to be able to provide customized product marketing in the Internet in order to meet consumer demand for customized products, in order to stimulate the customers buying in order to increase sales. Cloud service of information system development strategic framework proposed in this article contains three elements: (1) e-commerce services, and (2) promotion type modules, and (3) the cloud services customized promotional products. First of all, develop e-commerce services, and sales promotion strategy as the theoretical basis and, second, first class of neural network Adaptive resonance theory (Adaptive Resonance Theory Network, ART) following a market segment and application of association rules in data exploration techniques exploration (Association Rule Mining)-and sequence-like exploration (Sequential Pattern Mining) Efficient analysis of customers (includes all customers, community customers, individual customers), consumer behavior, identify candidates for promotional products and, finally, using the cloud service delivery and evaluation of targets to evaluate candidates for promotional products to produce the final promotional products. The other hand, in addition to cloud services customized promotional products, promotional products sales price will vary for different customers and adjust. We hope that through active cloud services to customized promotional products and prices, increase customer loyalty and increased profits. |
