Weather-Based Food Recommendations

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Pizza Hut Announces its Plans to Build a New AI Technology

Pizza Hut has announced its plans to use an AI technology that will recommend orders to its customers based on the local weather. The hope is this new in-house AI technology will help the company better understand its customer base.

The company is in the early stages of developing this new technology but hopes to use it to understand how location, weather, and behavior affect its customers. In 2016, Pizza Hut launched its Digital Ventures team. This group of tech experts is in charge of developing this new AI technology. The company stated they chose not to buy an off-the-shelf AI product as they prefer to build a technology that is specific to its business. They have not yet released how the weather will play into this technology.

Pizza Hut is not the first fast-food company to introduce AI technologies. Many of its competitors - like McDonald's - have already invested in such technologies.
Trend Themes
1. Weather-based Food Recommendations - Develop AI technology in the food industry that will recommend orders to customers based on local weather to better understand customer behavior.
2. In-house AI Technology - More companies could develop in-house AI technologies to build personalized experiences for their customers instead of buying an off-the-shelf product.
3. AI in Fast Food - The fast-food industry is investing in AI technologies to improve customer experiences and remain competitive.
Industry Implications
1. Food and Beverage - AI technology can be developed and optimized to help customers choose the most suitable foods on menu item, along with recipes, based on the local weather.
2. Hospitality - AI technology can be especially useful in enabling hotels, bars, and restaurants to personalize menu recommendations based on local weather for their customers.
3. Technology - More companies could begin investing in AI technology, with the development of more customizable and specific technologies for their businesses.

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