Alden Richards Nakitang Nag-I Love You Kay Maine Mendoza Sa Text?

Maine Mendoza and Alden Richards Remain Closer I Love You Text Seen

Maine Mendoza and Alden Richards remain to be inseparable these days. Even in headlines on internet news.

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And of course on social media buzzes, the two are still top trending. Fans die hard and casuals are talking about this post claimed by Ms J

Which supposedly said that they  texted each other I Love Yous. Although no confirmation on this.

The fact remains that Maine and Alden are closer than ever. Maine is spotted wearing the RING.

One thing also remains that the I Love Yous will never stop as fans worldwide are eagerly waiting for their projects.

For now they are CEOing their own McDonalds franchises. Speaking of McDonalds, news say that the company is growing.

McDonald’s runs 3.7% in the pre-market thanks to first quarter results that showed better-than-expected comparative sales.

The American fast food giant has posted quarterly profits of $ 1.33 billion or $ 1.72 per share, down from $ 1.38 billion or $ 1.72 per share in the same period last year. Analysts expected profits of $ 1.75 per share.

Revenues fell to 4.96 billion from 5.14 billion in the first quarter of 2018, however above the consensus of 4.94 billion.

Comparative sales in the world rose by 5.4% against expectations for + 3%. McDonald’s explained the jump by citing its promotions.
McDonald’s Corporation and Dynamic Yield have announced an agreement under which McDonald’s will acquire Dynamic Yield . McDonald’s is a name that can hardly be unfamiliar. Considering that the iconic brand has tens of thousands of restaurants in over 120 markets around the world.

The company that the restaurant giant has decided to acquire is certainly less known to non-experts. Dynamic Yield is an Israeli company, with offices in New York and Tel Aviv, specializing in personalization technology and decision logic .

The platform defined as Personalization Anywhere by Dynamic Yield is enhanced by artificial intelligence , is omni-channel  and goes beyond Customer Data Management .

In the official announcement of the acquisition announcement, McDonald’s informs that it will use this technology to offer an even more personalized customer experience . The brand also makes some concrete examples of possible applications of this technology.

For example, vary the external digital displays on the Drive Thru menu to show food choices based on the time of day. As well as on the basis of the weather, the current situation of crowding of the restaurant and the most “trend” menu items of the moment. Dynamic Yield technology is also able to provide instant suggestions. As well as displaying additional items to a customer’s order based on the choices already made.

Dynamic Yield looks set to play a crucial role in McDonald’s digital transformation. The contribution of the technology will not be limited to the digital screens of the Drive Thru. It will serve to improve other points of contact of the digital customer experience . Such as, for example, self-order kiosks and the global McDonald’s mobile app .

Dynamic Yield brings artificial intelligence into menus

Liad Agmon , CEO of Dynamic Yield, on the company blog shares the evolution that led to this important turning point.

Dynamic Yield has been working since the beginning to offer solutions for customer-centric organizations willing to consider individualized experiences and personalization a strategic priority .

Created as a small company, Dynamic Yield technology now enhances more than 300 brands on six continents. This technology helps companies create unified customer profiles , launch and optimize personalization campaigns and automate decision-making .

The platform allows the delivery of individual customer experiences on any touchpoint : web, app, email, kiosks, IoT and call center. The data management features of the Personalization Anywhere platform allow the rapid creation of highly targeted and scalable digital interactions .

It is a flexible and powerful tool dedicated to marketers, product managers and engineers. Whose machine learning algorithms enable product recommendations and personalized content and notifications.

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