Our Bot Store

Customer Survey Analysis (Linear Discriminant Analysis)

The Bot takes in the input data in a CSV file and performs the LDA algorithm-driven classification and provides output in the MS excel.

Naive Bayes Model

This Bot performs text classification and real-time predictions of various analytics problems using Naive Bayes as a Machine Learning model.

Decision Tree Classifier

This bot is based on the principle of Decision Tree Classifier to expedite business decisions. Bot takes in input data in CSV file & provides output in MS excel.

Gaussian Mixture Model

Bot takes in input CSV file & prepare the clusters using the Gaussian model where sub-population exists within normally distributed whole population & output Excel.

Random Forest Classifier

A business user could use this bot, which is based on the principles of ‘Random Forest’ Classifier and provide output in the MS excel.

Support Vector Machine

Business users could use this bot to classify large volume high dimensional data to solve business classification problems (Principles of Support Vector Machine).

XGBoost Model

A business user could use this bot to perform decision tree-based ensemble classification which is based on principle of gradient boosting framework i.e. XGBoost.

Impact Analysis using Correlation Model

Apply Correlation Model as a Bot to your workflow and automate your business processes. This Bot measures, how two or more variables are related to one another. It establishes statistical parametric correlation operation among multiple numerical variables and provides the impact and degree of relationship.

BENEFITS

Improve Decision Making

Speed up decision making for the real world applications in the area of ‘Finance’, ‘Marketing’, and ‘Insurance’.

Increase Productivity

Save approximately 30% time in feature selection process and automation workflow creation.

Zero Maintenance

Model is provided as SaaS using serverless function architecture of Azure. It is easy to setup, highly scalable and fault tolerant.

USE CASES

Understand the Impact of weather on sales.

Analyze Impact of Digital Marketing Spent on Sales/revenue.

Understand the Degree of change in relationship between social media brand campaign activity and visits to brand website.

Analyze Impact of weather on depressive disorder, Bipolar and Melancholia.

Sales Forecasting Model using SARIMAX algorithm

Apply Sales Forecasting Model as a Cloud Bot to your workflow and automate your business processes. This Bot provides sales forecast for user-specified time periods for planning, production and other factors. Business can forecast growth, trends, patterns and seasonality, by analyzing the various combinations of input variables.

BENEFITS

Strategic Decision Making

Helps develop an appropriate strategy to reduce gap between targeted and estimated growth.

Increase Productivity

Save approximately 40% time in planning process.

Achieve Sales Goals

Helps in operations resource planning and marketing campaign planning to achieve sales goals.

USE CASES

An organization looking to forecast Daily, Weekly, Monthly product sales while being cautious of seasonality.

A Retail store planning inventory levels based on sales forecast based on seasonal variations.

Customer Segmentation Model

Apply Customer Segmentation Model as a Cloud Bot to your workflow and automate your business processes. This bot segregate groups with similar traits and assign them into clusters.

BENEFITS

Target Right Segment

Get relative viable clusters for targeting and strategizing i.e. behavioral segmentation, persona creation and anomaly detection.

Increase Productivity

Save ~30% of an analysts time to prepare Customer Segmentation for business processes such as fraud detection, Marketing email campaigns, Target customer persona and many more.

Zero Maintenance

Model is provided as SaaS using serverless function architecture of Azure. It is easy to setup, highly scalable and fault tolerant (Each request is independent of another request).

USE CASES

Identify most profitable customers and target them in your marketing campaigns to increase sales per customer.

Segment your customers by purchase history and their interest to target right product/ service.

Segment patients based on their medical history and demographic to recruit right patients for clinical trial.

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