Products and Services

As the scale of e-commerce continues to expand into fast-growing numbers and variety of goods, customers need to spend a lot of time to find the products that they want to buy. This process of browsing a lot of irrelevant information and products will no doubt affect the mindset of the customer negatively. In order to solve these problems, intelligent recommendation (also known as personal recommendation) system came into being. Intelligent recommendation system based on user characteristics and purchase behavior of interest, recommends user to user information and items of interest, so as to achieve the ultimate realization of cross-selling.

Cross-selling also known as upselling is the concept of bundling various items and products into a package and selling to the customer. Broadly speaking, cross-selling is also included with customer recommending the product or service to the other customers.  For example, if a company’s Marketing Department orders a photocopier, one can take the opportunity to assure the company’s Finance Department or other departments to promote the product.

Cross-selling’s research on consumer usage showed that by older customers seeked out for the association between the various products and look for opportunities to achieve product bundling. But the same strategy can also be applied on new market segment.

Intelligent recommendation system is built on massive data mining on the basis of an advanced business intelligence platform to help e-commerce. Various web sites offer completely personalized decision support and information services for their customers. Shopping site’s referral system to recommend products for customers, automating personalized product selection process to meet customer’s individual requirements, web site’s hottest-selling merchandise, customer’s past purchases and records, are all tools of data mining used today.

In the era of e-commerce commercial shopping website provides a wide range of goods so customers not only can’t learn all products through a screen at a glance, but also cannot directly check the quality of the goods. Therefore, customers need an Electronic shopping assistant, which can refer consumer products based on his interests and past shopping history.