A UNIQUE

A.I. SOLUTION

We offer a unique A.I. solution, the core of which is our proprietary
technology "Behavior Mapping". 

Behavior Mapping, helps to simplify how to make sense of your
ever-changing customer behavior i.e. their wants, needs and interests. 

 

With behavior mapping, you can focus on dynamic interest patterns to benefit from opportunities and mitigate risks. 

 
BRANDS HABIT SAVINGS NEEDS NEEDS IMPULSE Flow of Interest Behavior node

Behavior Mapping 

We consider collective behavior to be fluid and dynamic. Based on business needs, “Behavior Nodes” are formed. These can be brands, product categories, consumer actions or demographic etc.  with a unique fingerprint. 

The A.I. then develops a dynamic map of “Flow of Interest” between those Behavior Nodes. Analyzing and tracking this “Flow” helps in understanding the underlying dynamics of behavior.
 

Insight AI then track this ever-changing dynamic Behavior Map to have the most complete understanding of consumer behavior.

SOLUTIONS

  • Which products have customers liked ?
     

  • Time when customers are most likely to purchase ? Hourly - Day of month - Month of year
     

  • Preferred Price range 
     

  • Popular Style of product 
     

  • From where are your customers viewing / purchasing ? (Highly localized analysis) 

How to attract new Customers

01

With Dynamic Behavior Mapping, identify different customers cohorts, predict customers interest patterns and identify how and when to attract new customers.

 
 

 

The focus here needs to be firmly on customers who have visited but not purchased. We offer wholistic solution to analyze multitudes of exit points. 


Exit-Points could be ,

  • Product Page 
  • ​Non- product Page 

  • ​Cart exits 

  • ​Returns

  • ​Shop Floor analysis 

Analysis is performed 1. first time or repeat customers OR 2. registered or un-registered customers. 

02

why customers visit but don't buy

Understand why some consumers visit the product pages but it does not convert into a buy.

 

 

A.I. can, 

  • Segment your customers into active and passive

  • For individual customer A.I. can predict most likely products that can be purchased 

  • And optimum time the purchase can occur.

Your can use these insights to fine tune your communication to 

accelerate Passive to Active conversion. Similarly you can mitigate passive to active conversions as well. 

03

WHO SHOULD you TARGET AND WHEN

Get insight into Active and Passive customers, with the ideal time of day and products to be recommended to them.

 

Comprehensive report of Footprints which captures the product journey of each and every product within the system along with its categories. All product-based data will be supplemented with time and geo location ( when available ) of the user interactions with that particular product.

Following are the list of reports that will be generated,

  • Gain and Loss analysis 

  • Time Analysis

  • Geo-Location anlysis

  • Product Overview

  • Product Footfall Mapping 

  • Category Footfall Mapping

04

WHAT IS THE product JOURNEY

Gain Loss Analysis, Time analysis, geo-location based product analysis and footfall mapping gives in-depth insights into individual product journey.

 
 

  • Learn from Past campaigns 
    Based on data related to previous campaigns and their performance, we can now forecast the possible overall impact of the new campaign. 

  • Learn from Competitors campaigns 
    If there is data of competing entity then we can also extract the knowledge from their performance and use it to improve our predictions.

  • Get absolute best time for campaign execution
    A. how particular brand and their competitor have performed, 
    B. when a set of competitors has run their campaigns

05

HOW DO WE GET MOST OUT OF CAMPAIGNS

Analyze past marketing campaigns and give actionable insights into future campaign planning

 

  • Analysis to help inventory decision for shops
    Based on the prediction and forecasting of Online consumer behavior with respect to specific regions, we will provide analysis that could help inventory decisions for the retail outlets.

  • Learn from Competitors campaigns 
    The previous product similarity mapping will also aid in planning sales executive strategies at the shop floor of retail outlets. Example, 

    • Planogram of products

    • If the consumer likes a particular product, which other products should the sales executive recommend to him

    • Based on the demand, what are the likely inventory needs for that region.
       

06

WHAT CAN WE LEARN FROM SHOP FLOOR

Base your inventory management decisions, product planning and placement from analytical insights