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Neuton Use Cases for Neural Network and Machine Learning

Churn prevention
Challenge:
In the data-driven world, predictive churn management is a trending topic full of new possibilities. Effective churn prevention based on data mining and machine learning is typically dependent on a tremendous amount of existing data as well as new data.
Solution:
AI is a great solution for predictive churn that can help achieve these goals:
understand the key factors of client attrition
identify the clients most at risk of leaving
provide targeted insights on which retention actions should be implemented
Why Neuton:
Neuton excels and operates optimally, often requiring less than 10% of the data set needed for neural network training by other solutions, therefore allowing customers to achieve the same results, if not often times better, with less data.
Smart targeting
Challenge:
Direct marketing campaigns are expensive. Wrong targeting can damage your brand. Recipients are tired of getting too much spam and might opt out. Traditional techniques are not effective, resulting in lower response rates, which leads to higher acquisition costs.
Solution:
Artificial intelligence solutions can dramatically boost accuracy for identifying prospects with the highest probabilities for conversion for a certain marketing campaign, so that only those with a high likelihood of response will be contacted.
Why Neuton:
Neuton does not require any special knowledge or training, therefore it brings the tremendous power of artificial intelligence to the fingertips of each and every marketer. Furthermore, Neuton is as effective with small sets of data as it is with large datasets, making it available for any Small and Medium size businesses who might otherwise have less access to big data and less historical data from which to otherwise derive value out of their statistics.
Personalized offers
Challenge:
Customers increasingly expect more personalized engagement. They also demand engagement at the right time, on the right device, with the right message. An email with a generic message has a much lower click rate than a personalized offering. However, for B2C businesses, it is not possible for human teams to personalize every offer to adapt it to the individual needs and preferences of millions of customers.
Solution:
Today it is very easy to understand consumers and create 1:1 personalized offers with AI. Machine learning can help marketers personalize messaging and engagement to reach audiences of one more effectively. Neural network models can use a various set of parameters such as prior purchases, preferences, and interests to generate a relevant and compelling offer.
Why Neuton:
Neuton democratizes AI by making it available to companies of all sizes regardless of the amount of statistical data they have on their customers. Neuton works with small sets of data as well as with large datasets. Neuton also generates models that predict much faster than those built with other AI solutions, thus making it possible to deliver personalized offers and customer experience on the fly. Furthermore, thanks to its simple and user-friendly interface, working with Neuton is so straightforward that any marketer can handle it.
Sales forecasting
Challenge:
Accurate sales forecasts enable companies to make informed business decisions and predict short-term and long-term performance. In doing so, they also give insight into how a company should manage its workforce, cash flow, and resources. The challenge is that the majority of all AI machine learning algorithms excel only when the training data set contains significant amounts of data, which can be difficult to acquire.
Solution:
Neuton gathers data about past deals, both won and lost. It looks at data signals, such as emails, meetings, even phone calls, and analyzes how they relate to sales outcomes. Insights from the data are applied to the current pipeline, and the software then rates deals, provides visibility into them, and even advises sales reps on the next actions to take.
Why Neuton:
Neuton excels with both large sets of data well as small sets of data, therefore enabling effective neural network learning in either circumstance to meet business objectives. This enables Small and Medium size businesses with little historical data to do more with fewer statistics.
Pricing Optimization
Challenge:
Setting prices can be a challenge, in particular in industries like travel and transportation where prices may change almost hourly, constantly adapting to changing market conditions. The amount of data is so impressive that it is becoming impossible for managers to make efficient pricing decisions using traditional methods. Even a slightly suboptimal decision-making process inevitably leads to tangible losses.
Solution:
AI allows companies to make the best price decisions every time for every product and via every channel. Machine learning solutions automatically determine your best prices taking into account all relevant context conditions including seasonality, price elasticity, demand, inventory levels and competitive products and prices.
Why Neuton:
Neuton is so easy to use that any retailer can take advantage of it. Its elegant simplicity and ease of use makes artificial intelligence available to all users irrespective of their technical and scientific background.