As a dark horse of retail electric dealers, shop 1th maintained a remarkable growth rate of 300% for 3 consecutive years. Behind continuous high-speed growth, a forward-looking and intelligent it architecture is indispensable. As early as 2010, No. 1th Shop CTO and Vice President of technology department June insight into the rapid development of the electric business industry trends, for a shop set up a new evolution of the architecture. June that the CTO should be as accurate as possible about the development of the business, because the business can be pulsed, but the technology has to set aside the lead time. And for the business development of the accurate grasp, it is his 1th store system can support the rapid development of shop 1th is an important reason.
From the beginning, the Korean army for the 1th store system set a high goal, his benchmark is Amazon, 2010 to the system is to be able to support a single day 5 million processing volume. Subsequently, based on internal promotion of operational efficiency, the principle of external improvement of customer satisfaction, the Korean Army has developed a highly intelligent PiS (Commodity intelligence platform) system to support business decision-making.
Two of the core issues of online retailing are: What goods to sell? At what price? The PiS system solves the problems of the two retailing industries.
PiS system through the collection of information on the sales of various electric dealers ' websites, monitor the sales of various goods and classes, and combine the products and categories of Shop No. 1th to analyze the data. Intelligent selection module, through the mining of commodity intelligence information and sales trend analysis and collation, release the selection report, guide the procurement personnel to select products and make category planning, to provide scientific basis for operational decision-making, to achieve the category fine, digitized operation.
PiS system through the real-time collection of all the electric Dealer website, all merchandise and promotional information, and combined with the cooperation provided by the offline supermarket information, according to the various categories of marketing objectives, the use of MNL (multinomial Logit model) pricing model directly adjust the scientific and predictable commodity prices, and using PDCA Cycle verification model to achieve price optimization, rapid response to market changes, automatic pricing, price adjustment work.
Since the PiS system is online, it has helped the purchasing department and the Sales Operations department achieve automated operation and intelligent decision-making. Now 1th stores have half of the merchandise through the system automatic price adjustment and pricing, artificial intervention as a supplementary means, has increased sales 1.5 times times more than 30% of the increase in Maori. By the end of the year, the application of automatic price adjustment of goods will reach 90%. Depending on the support of this intelligent system, store 1th can respond to the market faster than competitors in a shorter period of time, and this is the number 1th store in the fierce competition in the electricity business to survive, the development of the winning weapon.