Sentence examples for network merchant from inspiring English sources

The number of debit cards in the network is the total number of debit cards issued by the network       Merchant acceptance in the network (times ) Number of debit cards by issuer Merchant acceptance in the network is the percentage of merchants accepting debit cards where the network operates.

Lemon, the makers of the mobile wallet by the same name, is today releasing a new mobile payment tool whose goal is to allow the app's users to make purchases from Lemon Network merchants without having to continually re-enter their credit card information.

New invitations to join MerchantCircle have increased 59percentt overall, and in-network, merchant-to-merchant connections overall up over 123percentt.

The card companies agreed to let merchants steer customers to the payment network the merchant preferred.

One reform would be to create a First National Bank of Innovation — a state-sponsored network of merchant banks that invest in and lend to innovative projects.

International card services brought in $1.2 billion in revenue, as did both global commercial services and global network and merchant services.

It's pretty much like a couple of services Uber has tested (remember Corner Store or Uber Essentials?) though the U.S. firm is preparing to introduce a larger network for merchant delivery, as we reported in April.

But neither PayNearMe nor Dwolla have the brand name recognition of PayPal, and despite Walmart's size, it is still but one retailer, not a larger network of merchants, like the many merchants offering PayPal support.

The company's January ICO raised $7 million in token purchases, which can now be used as payment through a network of merchants in Nigeria, Kenya and Rwanda.

But it's a boast with substance: Rearden has clearly managed to monetize his AI vision at a significant scale by bringing under one umbrella a vast network of merchants and providers and then negotiating discounts as well as enforcing policies on behalf of its client corporations.

Through machine learning and the ability to see fraudulent activity across a whole network of merchants, Sift Science is able to bring that number down to seven percent or less.