Technology20 cols · 200 rows
This dataset contains detailed records of IT service tickets, combining structured metadata (such as priority, category, and assignment) with rich ticket descriptions suitable for natural language processing. It enables automated ticket triage, prioritization, and advanced analytics for IT support operations, making it ideal for machine learning and process optimization.
| ticket_subject | category | priority |
|---|
| Laptop battery fails to charge | hardware | medium |
| Cannot print from office printer | hardware | high |
| Server room temperature alert | hardware | critical |
departmentstatusurgency+14 more
Technology17 cols · 200 rows
This dataset provides comprehensive logs of customer support tickets, including detailed issue descriptions, resolution times, outcomes, agent involvement, and customer satisfaction ratings. It enables analysis of support process efficiency, identification of bottlenecks, and development of NLP models for automated ticket classification and resolution prediction.
| customer_name | ticket_status | issue_category |
|---|
| Javier Martinez | open | billing |
| Samantha Lee | resolved | account |
| Ahmed Al-Sayed | pending | billing |
ticket_idcustomer_idcustomer_email+11 more
Telecommunications22 cols · 200 rows
This dataset provides detailed records of telecom customer support tickets, including issue types, resolution timelines, agent actions, and customer satisfaction ratings. It enables process optimization, root cause analysis, and AI/ML chatbot training by offering granular insights into ticket lifecycles and outcomes.
| customer_name | service_type | issue_category |
|---|
| Emily Anderson | mobile | network |
| Michael Young | broadband | billing |
| Ana Rodriguez | fiber | technical |
ticket_idcustomer_idcustomer_email+16 more
Technology16 cols · 200 rows
This dataset provides a detailed record of customer support tickets, including issue descriptions, priority levels, agent assignments, status updates, resolution times, and customer feedback. It enables comprehensive analysis of support operations, agent performance, and customer satisfaction, making it valuable for service optimization and reporting.
| customer_name | status | assigned_agent_name |
|---|
| Alice Johnson | Resolved | Samuel Lee |
| Juan Martinez | In Progress | Priya Singh |
| Ravi Patel | Closed | Emily Chen |
ticket_idcustomer_idcustomer_email+10 more
Finance22 cols · 200 rows
This dataset provides granular records of customer interactions with banking call centers, including timestamps, agent and customer details, interaction topics, sentiment, resolution status, and full transcripts. It is ideal for customer experience analytics, agent performance monitoring, and training conversational AI models to improve banking services.
| customer_name | agent_name | interaction_type |
|---|
| Sophie Müller | Emily Carter | inquiry |
| Mikhail Ivanov | Irina Morozova | complaint |
| Carlos García | Lucía Torres | feedback |
interaction_idcustomer_idcustomer_phone+16 more
Technology18 cols · 110 rows
This dataset provides comprehensive tracking of customer service calls, including caller and agent details, issue categories, resolution status, escalation, and customer satisfaction ratings. It enables organizations to analyze service quality, monitor agent performance, and identify trends or bottlenecks in call resolution processes. Ideal for improving response times, optimizing support operations, and enhancing customer experience.
| customer_name | agent_name | issue_category |
|---|
| Maria Gomez | James O'Neill | billing |
| Aiden Smith | Priya Menon | technical |
| Oluwaseun Adeoye | Li Wei | account |
call_idcustomer_idcustomer_email+12 more
Finance15 cols · 200 rows
This dataset provides detailed records of digital banking customer support chat sessions, including full transcripts, participant identifiers, timestamps, issue categories, resolution outcomes, and customer satisfaction ratings. Designed for customer experience analysis and automated agent training, it enables deep insights into support interactions, common issues, and service quality trends.
| agent_type | issue_category | resolution_status |
|---|
| bot | card lost | resolved |
| human | account access | resolved |
| bot | order status | resolved |
chat_idcustomer_idagent_id+9 more
Technology19 cols · 200 rows
This dataset provides comprehensive logs of tech support tickets, including customer and agent details, ticket lifecycle events, escalation history, and resolution outcomes. It enables technology firms to analyze support processes, optimize resource allocation, and improve customer satisfaction through actionable insights.
| customer_name | issue_category | status |
|---|
| Samantha Lee | software | resolved |
| Rajesh Kumar | network | open |
| Emily Foster | hardware | pending |
ticket_idcustomer_idcustomer_email+13 more
Telecommunications13 cols · 100 rows
This dataset provides a comprehensive record of trouble tickets from creation to closure, detailing issue types, priorities, team assignments, resolution times, SLA compliance, root causes, and preventive actions. It enables robust tracking of network or service incidents, supports operational analytics, and facilitates continuous improvement in incident management processes.
| issue_category | priority | status |
|---|
| outage | critical | closed |
| degradation | high | closed |
| intermittent | medium | closed |
ticket_idcreated_datetimeclosed_datetime+7 more