Build high-quality custom models without ML expertise

Catalyst AutoML is a Machine Learning capability that analyzes data and predicts the outcome automatically using Catalyst. You can train models in AutoML with any data associated with your application and achieve predictive analytics. The automated APIs and predictions are achieved through a series of machine learning algorithms that are automated on the platform. All you have to do is enter your data, then leave it to the platform to analyze the patterns.

Key Features

 

Detailed evaluation reports

Using the AutoML feature on Zoho Catalyst, you can obtain a detailed evaluation report of the trained model. The evaluation reports provided by AutoML contains insightful and actionable information, that is different for each model variant based on relevance.

 

Abstract data models

AutoML is of great advantage for both AI experts and others. This means that you need not be a Machine learning expert in order to implement an ML algorithm in an application. You can rely on the platform to train and implement algorithms which are abstracted so that you can focus on the core performance of the application.

 

Robust and predictive data models

Build machine learning models that are easy to deploy within the application. The data can be customized in order to train them according to your goals.

 

Multiple model classification

The accuracy of the model's predictions depends on the columns you select for training the model. And these models are classified based on the data type of the target column into Regression, Binary-class classification, or Multi-class classification.

Use cases

  • Recommendation Engines
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  • Dynamic Pricing
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  • Sales forecasting
 

Build intelligent recommendation engines

An ecommerce service uses AutoML to predict and suggest recommendations for those products a user might be interested in. The service constructs an efficient recommendation engine by collecting explicit and implicit data from the user’s browsing and purchase history, and uses AutoML to analyze and discover patterns in the datasets.

 

Predict the price based on multiple factors

A ride service hailing mobile application uses AutoML to determine the price for a trip dynamically. The AutoML model predicts the right price for a trip, consistent with the incentive given to the driver, customer satisfaction, and profitability based on various factors such as the time of day, location, weather, customer demand, cab availability, and more.

 

Forecast sales numbers

A pharmaceutical company uses AutoML in a web application designed to be used internally by the company’s sales team. The sales analysts use the application to analyze previous sales and revenue data, evaluate sales patterns, and predict trends in their upcoming proposals to formulate a sales forecast and plan strategies. They create and train several models in AutoML, using datasets of various sample sizes in their application.