Nigeria’s Appi Technologies Deepens food tech with APPIEATZ

Sun, Jan 31, 2021
By editor
2 MIN READ

Tech

By Paul Ukpabio

Chideera Emerenini, Chief Innovation Officer of the outfit said the solution is already receiving good reviews from consumers who were part of the test operation of the application.

“APPEATZ is just days old and it has received so many reviews and also attracted huge calls for partnership form would-be ventures who admires the huge values it brings to the industry” he adds.

The application which is downloadable from both App Store for Android devices and Apple Store on Apple devices has a ton of personalization configuration that makes it an interesting application to engage with when hunger calls.

According to Emerenini; “Apart from aggregating the best restaurants and eateries by geo-location, the app bargains discounts for its users that beats the going rate and only available in-app”

For ease of payment APPIEATZ also allows on-boarders to pay through in app wallet apart from the conventional cards options and cash on delivery options.

“This feature allows people who have budgeted funds for the meals for a period of time to move the funds on the app and side-step recurring transactions fees for every time they would like to make a purchase,” he said.

The app also has a facility to track the dispatch of the meals from the time they leave the vendor, heading to be delivered. He said the feature was necessary to help bridge the disconnection and douse the anxiety that is connected to the delivery of meals at this point.

Emerenini said the App also has the feature that allows a user to: “chat up the vendors from the time your order is accepted on the app to perhaps clarify or even personalize your order further”

APPEATZ also makes room for a user who doesn’t want to have their meals delivered but would rather pick, “some of the users can be on the app just to jump some long queues that are traditional at good restaurants” he adds.

The apps keep purchase history and help the user to automate order from the pattern of purchase that the user has made that the algorithm has noticed.

– Jan, 31, 2021 @ 10:16

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