The computer has changed our desktop and derived a smart phone that can realize all functions except the card swiping. In recent years, the smart POS machine has not brought more value to the merchants. Too many gimmicks are considered by the industry to be a false proposition!
Under the premise of shrinking POS market, smart POS, as a product that should be a market transition, has encountered the impact of the domestic QR code payment market, so its existence cycle will become more and more short! At present, the capital market has poor feedback on such products, and most of them are unwilling to intervene too much.
Since the launch of the smart pos, different brands have competed. Really talk about the "smart" smart POS, most of which not only integrates card payment, scan code payment, NFC payment, card payment distribution, group purchase verification, take-out system and other functions, based on the big data analysis platform, bringing more to the merchants. Convenient and intelligent service.
How to identify true and false smart POS
From the payment data, the pseudo-smart POS is only a traditional pos machine that scans the code gun, sweeps the dock and other scanning equipment. Simply put, it is just a simple hardware, lack of matching background, does not have the precipitation function of merchant data, and can not further analyze the data. No data, let alone talk about "O2O".
From the marketing data, pseudo-smart POS has no marketing function. At present, the main online marketing method of smart POS is to launch electronic coupons through WeChat, Alipay, etc., after the payment data is precipitated, push electronic coupons, electronic membership cards, etc. to the customers after the precipitation, so as to attract them to visit the store again. The realization of repeated purchases, which completes the mutual conversion of online and offline customers in O2O, is a function that pseudo-smart POS can not have.
From the service data, some "smart POS" that claim to be able to connect to third-party applications is actually a mini-pad. In fact, in addition to paying attention to payment and marketing, offline stores also have consumer links such as selling, booking, queuing, and ordering. If these links are completely dependent on third-party apps, most of the transaction data will remain on the third-party platform, not the merchants. The pseudo-smart POS has no way to analyze the user data generated by these functions, and cannot perform big data analysis. The value of these service APP big data cannot be reflected.
The amount of payment transactions, the amount of card transactions, and the amount of service orders are the key to measuring smart POS. All three aspects require the support of big data analysis, and pseudo-smart POS is not enough. From these three points, we can accurately distinguish between smart POS and pseudo-smart POS.
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