RixDigi – AI Development & Automation Solutions

Custom Machine Learning & Predictive Business Analytics

Transform your historical company data into proactive forecasting engines that predict sales demand, identify customer churn risks, and optimize pricing strategies.

✓ Accurate Demand Forecasting: Minimize inventory stockouts and excess holding costs.

✓ Customer Churn Prevention: Identify at-risk accounts weeks before cancellation occurs.

✓ Custom Statistical Models: Built exclusively on your historical metrics and business dynamics.

150%

Reduction in Manual Workload

60%

Faster Decision-Making

Improved Workflow Efficiency

40%

Task Automation Rate

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Component	Technical Framework
Algorithms	XGBoost, LightGBM, Random Forest, ARIMA, Prophet, Neural Networks
Data Tooling	Python (Scikit-Learn, Pandas, NumPy), Apache Spark, SQL
Storage & Warehousing	Snowflake, BigQuery, AWS Redshift, PostgreSQL
Model Explainability	SHAP values, LIME feature importance dashboards

Component

Technical Framework

Algorithms

XGBoost, LightGBM, Random Forest, ARIMA, Prophet, Neural Networks

Data Tooling

Python (Scikit-Learn, Pandas, NumPy), Apache Spark, SQL

Storage & Warehousing

Snowflake, BigQuery, AWS Redshift, PostgreSQL

Model Explainability

SHAP values, LIME feature importance dashboards

Implementation Process

A 6-week path from data exploration to production API deployment.

WEEKS 1–2

Data Exploration & Cleaning

Audit historical data completeness, handle missing values, and extract relevant features.

WEEKS 3–4

Model Training & Cross-Validation

Train multiple algorithm baselines and evaluate against test datasets.

WEEK 5

Feature Importance & Explainability

Build transparent dashboards explaining what features drive model predictions.

WEEK 6

Production API Deployment

Package the model into an automated inference API that updates your dashboards daily.

01 WEEKS 1–2

Data Exploration & Cleaning

Audit historical data completeness, handle missing values, and extract relevant features.

02 WEEKS 3–4

Model Training & Cross-Validation

Train multiple algorithm baselines and evaluate against test datasets.

03 WEEK 5

Feature Importance & Explainability

Build transparent dashboards explaining what features drive model predictions.

04 WEEK 6

Production API Deployment

Package the model into an automated inference API that updates your dashboards daily.

Custom Machine Learning & Predictive Business Analytics

Stop Making Forward-Looking Decisions with Historical Reports

Core Capabilities

Technical Specifications

Implementation Process

Data Exploration & Cleaning

Model Training & Cross-Validation

Feature Importance & Explainability

Production API Deployment

Data Exploration & Cleaning

Model Training & Cross-Validation

Feature Importance & Explainability

Production API Deployment

Your Success Story Starts Here
Let’s Begin!

Custom Machine Learning & Predictive Business Analytics

Stop Making Forward-Looking Decisions with Historical Reports

Core Capabilities

Technical Specifications

Implementation Process

Data Exploration & Cleaning

Model Training & Cross-Validation

Feature Importance & Explainability

Production API Deployment

Data Exploration & Cleaning

Model Training & Cross-Validation

Feature Importance & Explainability

Production API Deployment

Your Success Story Starts Here Let’s Begin!

Your Success Story Starts Here
Let’s Begin!