The operational applications of this technology are many. It helps marketing and sales specialists to improve audience segmentation, to optimize their communication channels and to manage conversions; in general, it helps to improve all the processes that a company needs to optimize its results.

In Marketing, these are the solutions that could significantly optimize your processes:

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  Predictive sales model

  • It allows you to know which customers will be more loyal to your services or products. This will allow you to make reward program strategies much more specific per customer.

• 
  Churn prevention model

  • This is a predictive solution that identifies which individuals have a high probability of churn. As a result, retention or customer service teams can focus their efforts on customers who need to be intervened before they churn.

• 
  Intelligent Segmentation

  • AI-powered segmentation is able to group different types of profiles in order to personalize messages or services that may be of greater interest, by group.

• 
  Optimization of promotions and
  profit maximization

  • Increase the possibility of conversion by identifying and sharing the most relevant promotions for each customer, taking into account their interests and profiles.

• 
  Analysis of success factors
  in advertising campaigns

  • Provides visibility into campaign success factors to facilitate the development of creative guidelines for the creation of your marketing materials.

In e-commerce, these are the solutions that could significantly optimize your processes:

• 
  User experience

  • Helps streamline and optimize communication between the areas involved in your customers' experience through Machine Learning.

• 
  Optimization of promotions and profit maximization

  • Increases the chances of customer conversion by identifying and sending promotions according to each customer's profile.

• 
  Delivery time optimization

  • It helps determine and map the most efficient routes according to the parameters of expected delivery times, fleet availability and cargo capacity.

• 
  Demand forecasting

  • It generates forecasts that benefit the planning of strategies capable of reducing the risks of stock-outs, streamlines the distribution of assets through the different points and establishes competitive prices.

• 
  Cross-selling optimization

  • Increases the chances of customer conversion by identifying properties and behavioral patterns.

• 
  Smart pricing

  • It helps to analyze internal and external data on fixed and variable prices, as well as to identify the causes of changes in product value at different points of sale, in order to make automatic and cost-effective adjustments.