Retail Stress Management with AI/Cognitive Stressometer

Efficiently monitoring customers stress to enhance their experience during peak shopping events.

Goals

Swiftly pinpoint and categorize stressed customers.
Deploy an RPA for real-time detection and resolution of complaints within the client’s system.
Rapid implementation ahead of Black Friday, to mitigate complaint surges and augment satisfaction scores.

Goals

Swiftly pinpoint and categorize stressed customers.
Deploy an RPA for real-time detection and resolution of complaints within the client’s system.
Rapid implementation ahead of Black Friday, to mitigate complaint surges and augment satisfaction scores.

Strategy

Assembled a specialized team including a Data Scientist, Data Engineer, and Scrum Master for comprehensive transformation.
Incorporated speech analytics and Natural Language Processing (NLP) for targeted intervention on detected stress cases.
Introduced an insightful dashboard that offers actionable directives for operational teams.

Strategy

Assembled a specialized team including a Data Scientist, Data Engineer, and Scrum Master for comprehensive transformation.
Incorporated speech analytics and Natural Language Processing (NLP) for targeted intervention on detected stress cases.
Introduced an insightful dashboard that offers actionable directives for operational teams.

Highlights

The specialized Litigation Service operation screens, categorizes, and actionably addresses cases flagged by the Stressometer.
A specialized workflow is employed to alleviate customer dissatisfaction, ensuring a smoother customer journey.

Highlights

The specialized Litigation Service operation screens, categorizes, and actionably addresses cases flagged by the Stressometer.
A specialized workflow is employed to alleviate customer dissatisfaction, ensuring a smoother customer journey.

Results

Achieved deployment just tin time for Black Friday, spanning just three sprints.
KPIs Improvement:
- Willingness to transact with the company again surged from 48% to 56%.
- Resolution timeliness drastically shortened from 14 days to merely 6 days.

Results

Achieved deployment just tin time for Black Friday, spanning just three sprints.
KPIs Improvement:
- Willingness to transact with the company again surged from 48% to 56%.
- Resolution timeliness drastically shortened from 14 days to merely 6 days.

Customers for Life

Resolutive Chatbot for The Electric Energy Sector

Positioning Customer Care Touchpoints

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Retail Stress Management with AI/Cognitive Stressometer

Goals

Goals

Strategy

Strategy

Highlights

Highlights

Results

Results

Cases

Customers for Life

Resolutive Chatbot for The Electric Energy Sector

Positioning Customer Care Touchpoints