Devpost
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Supporting T-Mobile's Representatives to Support Customers
Elegantly convey consumer relationship & interaction through a beautiful UI, semantic analysis, and token-summarizing
T-Mobile's Empathy Recognition Relay Assistant
Crowded stores often make it difficult for company representatives to promptly attend to customers - we fix that.
Telling Customer's Story through Data
Snap nutrition details and get enlightened
Provides representatives with an system which generates the best recommendations for the customer given their profile
Customers are always important and we try to understand their choices on carrier
Understanding customers by tracking their foot patterns to enable business intelligence and empowering sales reps
This project will help T-Mobile reps gain faster insights into what their consumers want and need.
We made a prototype application that can be run on sample mobile devices to collect valuable user interaction data.
Predictive classifying factors contributing to customer churn in near realtime window.
An application to facilitate and improve the retail experience for T-mobile customers and employees
AI powered problem solver for common mobile phone issues.
Empower T is an application that would help solve the problem of staffing rates and labor at T-Mobile stores.
The Un-Churner for the Un-Carrier. Machine Learning to fight customer churn and increase retention.
Voicemail caught up to speed
One plan, One number, One carrier. T-Mobile
A Complete Store Experience Enhancement AI
Help your store run smoothly with the latest face recognition technology and get your customers what they really want
An ML algorithm that holistically determines a customer's sadtisfaction and likelihood of visiting a retail store
An intelligent app to shape traffic into T-Mobile stores by using machine learning & location services
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