Hopper Company and Price Fluctuation Prediction

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Hopper Company

Everyone knows how fierce the competition in the travel industry is, how short-lived peak demand is, how frequent are the downturns, and how many destinations do not make money at all. Most travelers cannot decide whether it is better to book tickets months in advance or a few days before departure.

Travel apps help solve this problem. One of them, Hopper, is also designed with predictive analytics in mind.

The app analyzes statistics and scans a uae email list huge amount of prices and other route data. This information then helps create pricing models and tells users when they can buy cheap tickets to their chosen destination.

In Russia there are several aggregators that perform this function: Skyscanner, AviaSales, TripAdvisor.

Retaining staff at IBM

The advantage of predictive analytics is that it gives good results in the long term and allows the company to achieve its goal. It also helps to understand why the organization has such high turnover and suggests ways to stop it.

For example, with the help of IBM's powerful Watson computer, you can find the factors that push employees to quit. It collects data, structures it, calculates qualitative indicators for all employees and determines which of them are most likely to leave.

For business owners or managers, this is a good opportunity to identify the causes of turnover in order to stop it. This method can be used to estimate the costs required to attract new personnel or retain current employees. All this significantly reduces operating costs.

Growing Under Armour's Target Audience

Sportswear manufacturer Under Armour uses predictive analytics algorithms to gauge public opinion and, in particular, the emotional tone of consumer writing. This helps to understand their attitude towards the brand, increase market share due to a new audience or a free niche. To solve this problem, the company needs to have an idea of ​​who its customer is, in order to influence them with personalized messages.

Nowadays, the company is not only engaged in the production of sports goods - it also creates smart gadgets such as fitness trackers, smart watches, etc. All the information that is collected about people using these applications is sent to Under Armour. Thus, the company's database contains data on more than 200,000,000 buyers. Thus, technology helps companies not only connect offline and online reality, but also improve their product.

Sberbank: Reducing Risks with the Big Five

Sberbank

Risk assessment is an important aspect of banking. For them, risk means reduced income. Before approving a loan, a financial institution must be sure that the client is able to repay it. Previously, to understand how solvent a person was, it was necessary to ask him a lot of questions. Now it is enough to look at how the client behaves on social networks.

Sberbank used this artificial intelligence capability to assess a person's psychological profile. This is the Big Five technology, which allows you to determine the client's reliability by analyzing 5 personality traits: sociability, honesty, openness, law-abidingness, and emotional stability. Thanks to the innovation, Sberbank was able to earn $50,000,000 in profit.

[yadaysrdone]

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