Our Process

Track

Computer Vision
Customer Movement
Environmental Attributes
Customer Multi-channel Engagement

Understand

Customer Satisfaction
Customer Patterns
Customer Interests
Employee Engagement
Employee Efficiency
Impact of Environment

Predict

Customer Intentions
Customer Buying Behavior
Targeted and Optimized Environments
Demand
Effective Messaging
Effective Pricing
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The steps in the machine learning process

1
User Interactions
We pay attention and learn how to adapt
2
Trained User Data
We connect their preference, behavior and choices
3
Unique Patterns
Machine Learning Engine identifies and surfaces patterns unique to each user
4
Reinforcement
We predict how a change will impact the user's experience
5
Decision Trees
A structured series of options, choices and actions
6
Content Libraries
Just the right piece of content, at just the right moment for that user.
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