INSIA
INSIA Push AI

Reactive to Proactive Analysis

Built-in AI and ML Models with Automated ML Ops and Custom Models

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Harnessing the Power of AI

AI-Powered Analytics That Pushes Insights Proactively to the Right User at the Right Time

AI Features

Push AI

Reactive to Proactive

Predictive Analysis

Automated alerts with language & data reports for anomalies

Auto Insights

Automated alerts on business performance deviations

i-360°

Automated alerts with language & data reports for anomalies

Predictive Analytics Toolkit

Build, train, and deploy predictive models without writing a single line of code

Train your own predictive deep learning model without writing a single line of code

Get instant prediction for any metric across different time periods and dimensions

Filter insights to see targeted predictive outcomes for different business scenarios

Prediction that improves over time and gives you the best fit model for your data

Auto Insights

Pushed proactively to your inbox

Auto Insights mobile app mockup

Get performance updates in plain language

Feedback loop for ongoing learning & sharper insights

Filtering engine for pushing relevant insights only

Auto scheduler for right insights at the right time

i-360° — One Click Auto-Analysis

Complete automated analysis of your data in a single click

Get performance updates in plain language

Feedback loop for ongoing learning and sharper insights

Intelligent filtering engine for pushing relevant insights only

Insight auto scheduler for the right insight at the right time

Varied Analysis for Varied Needs

Right insights at the right time to the right person through proprietary filtering and threshold engine with dynamic control limits

Time comparison

Time series analysis of data to uncover seasonalities and growth

Forecasting

Forecasting to prepare you for future business challenges

Which Where

Identify elements which are winners or losers

Contribution

Identify biggest contributors to a particular scenario

Relationship

Uncover patterns between multiple variables

Customer level fill rate for Region A has decreased by 45% in last 2 months
Sales executive N has not met her target from last 3 months
SKU 15 and SKU 18 are sold together for 50% times at Store C in last 3 months
Competitor B has reduced its operational cost by 40% in last quarter
Carrier D has delivered maximum damaged goods in last 2 weeks
Impressions have increased by 20% WOW on last Friday for Series C
Spend is forecasted to increase by 35% for category X in next 3 months
Route B has registered maximum delay in shipment in last month
Correlation is highest for Character N during Thriller Plot in North California
Character A has maximum correlation of SOD and impressions in last week
Opex has increased 20% in current month owing to new Rental lease
AI-generated insight card

Focus on insights.

Not data preparation!

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