Si-DAX for CPG

Additional features

Automated Modeling and Analysis

Automates the process of creating models and analyzing data from various consumer sector sources.

Multi-level Deep Network Recommendation Engine

Works in conjunction with a smart data-hub to quantify and harmonize all market factors and generate recommendations.

Neural Networking Techniques

Examines data using neural networking techniques.

Deep Learning Algorithms

Constantly improves predictions as real-world results are monitored and used to fine-tune analysis.

Advanced, Self-Correcting Predictive Analytics

Capable of performing predictive analytics across all types of data, including complex and unstructured Big Data.

Future Outcome Modeling and Prediction

Enables modeling and predicting future outcomes using simulations that account for all market variables.

Scenario Play-out and Impact Foresight

Allows users to play out different scenarios and foresee their potential impact in advance.

Accurate Warnings and Notifications

Provides extremely accurate alerts to issues and opportunities, enabling timely action to optimize performance.

Significantly Improves Time, Cost, Quality

Aims to reduce the time and effort for data analysis, optimize costs, and enhance the quality of insights.

Automatic Data Collation and Harmonization (Speed)

Automatically gathers and unifies data from diverse sources (company, external, third-party, web, open).

Constantly Adapting Analytical Routines (Accuracy)

Learns from business outcomes and continuously adapts analytical routines to maintain accuracy as conditions evolve.

Accepts Diverse Inputs (Diversity of Inputs)

Processes both structured business data (from ERP, CRM) and non-structured "Big" data from web and IoT sources.

Proprietary Universal Data Structure

Automatically combines and harmonizes different and incompatible data types into a unique structure for accurate insights.

Automated Technical and Mathematical Aspects (Usability)

Automates complex data analysis, making insights, alerts, and recommendations accessible to all business users.

Designed for Business Users (Interaction)

Is ready to use and does not require technical skills, making it an intuitive tool for business teams.

Automated Monitoring for Significant Events

Continuously monitors data for crucial occurrences.

Alert Delivery through Preferred Communication

Delivers alerts via email, text, or other preferred communication technologies.

Testable and Comparable Response Strategies

Allows users to test and compare recommended response strategies via the Si-DAX web application or preferred dashboards.

Chatbot Interaction

Users can interact with Si-DAX through a chatbot.

Easy AI Adoption

Designed to work directly with existing data sources, enabling companies to leverage AI without needing advanced data services or data lakes.

Always-on Automated System

Replaces manual, expensive analytics processes with a continuous, automated system.

Modularity and Scalability at Incremental Unit Cost

Ensures wider adoption and maximum impact due to its flexible and cost-effective scalability.

Forward-Looking System

Enables timely and quality decision-making at both strategic and execution levels.

Enhances Data Asset Value

Leverages a company's data assets for better decision-making and competitive advantage.

AI Augmented Human Decision Making

Improves creativity and collaboration by augmenting human decisions with AI insights.

Pre-built AI-Driven Analytical Application Foundations

The platform comes with pre-built foundations for AI-driven analytical applications.

Unique Data Crunching Engine

Analyzes data feeds and predicts future outcomes for businesses.

Considers Widest Spectrum of Causal Factors

Analyzes a broad range of causal factors at a fine level of detail in near real-time.

Pre-determined and Specific Applications

Offers pre-determined applications (for FMCG/CPG companies or Retailers) or allows development of custom applications.

Continuous Learning for Forecast Accuracy

Continuously learns from more data and business outcomes to improve the accuracy of business forecasts.

Integrates Diverse Data Sources

Brings together historical, real-time, and predicted data from in-house applications, external market feeds, news, social media, weather, consumer satisfaction sites, surveys, and other online sources.