New electric dealer decide into home appliances can predict the best time to buy

according to the advice given by decide.com, users do not want to buy for the time being, then they can watch the price timeline and set themselves a price drop notice.

now, if you're thinking about buying a new cell phone, if you want to spend less money, my advice is to think twice ——— first to listen to decide's opinion.

decide.com, a new E-commerce site launched last June, predicts that consumers will be the best time to buy an electronic product, given the speed with which electronic products are updated and market prices have changed too quickly.

The use of

decid is simple. First login to decide.com, in the search box to enter the electronic products you want to buy, decide.com will be based on their own proprietary technology to predict the price of the product in the future, tell you should wait a second to buy or buy now. If the user wants to buy, they can continue to purchase by their selected sellers. If the user does not want to buy at the moment according to the advice given by decide.com, then they can watch the price timeline and set themselves a price drop notice to get their ideal purchase price. In addition, they will even show you a comprehensive update timeline for your product, so that you don't wander through old products. Not only that, all sorts of rumors about the upcoming new product, for example, all sorts of rumors about IPhone5 can be found here as well. And for their own predictions, they will also give a "confidence score" to let consumers know how much they are confident about their predictions.

in fact, Decide.com quite confident, their self-confidence from the strong data mining and analysis capabilities. First they built a "linear analysis model" that added tens of thousands of electronic products to their own database. And find a lot of http://www.aliyun.com/zixun/aggregation/7330.html "> Technology blogs and websites to get product announcements and rumors, and eventually use" Advanced machine learning and semantic mining algorithms " To predict future product release times. In addition to the product release time forecast, they will also use the proprietary price prediction algorithm to take into account the billion price volatility information and more than 40 different price factors to make a comprehensive price forecast.

We can see that the whole product release and price forecasting system is built on the mining and analysis of massive data. And in order to prove that their predictions are effective (at least locally effective), they will be screening 10 items a day to pay the insured, that is, users buy these 10 products two weeks of decline in the price, they will make the difference to pay.

However, we do not know whether these 10 products are manually operated or really is the machine recommended. If it really stems from Decide.com's recommendation on data analysis, then its price forecasting system should be a success. Also worth pointing out is that D Eci-de.com's profit model is to collect the dealer's commission, for instance, its charge Amazon Commission proportion is as high as 4. So is this going to work?

decide.com, which initially supported the three-time forecasting service for televisions, laptops and cameras, later extended its services to mobile phones, now adds 33 new purchases of electronic products, including audio equipment, computer components, gaming equipment and tablets. Today, D Eci-de.com extends its predictive services to home appliances, including refrigerators, washing machines, microwaves, and so on.

Company CEO Mikefridgen said the reason is to enter the field of household electrical appliances because there are many similarities between home appliances and consumer electronics, prices are very volatile. With the passage of time, the price of household appliances will decline, the average decline in 10%, and some can reach 25%, which makes the household appliances become decide.com price forecasting services, another kind of ideal service object. For ordinary users, this could help them save on big-ticket appliances such as refrigerators and washing machines.

so far, Decide.com has provided users with millions of time forecast services, with a forecast service accuracy of 77% and an average savings of 54 dollars per user. Decide.com's iphone and Android apps have also been launched, and ipad apps are scheduled for launch next month. Up to now, decide.com a total of 8.5 million U.S. dollars investment.