Armakuni

High Volume of Customer Inquiries: Customers had to rely on traditional communication channels, causing delays in responses and inefficiencies.

Lack of Automated Support for Technical Queries: Technical support queries required manual intervention, leading to increased resolution time.

Absence of Intelligent Case Routing: No system to intelligently route customer issues to the right team, leading to inefficiencies in issue resolution.

No Automated Follow-ups & Proactive Engagement: Customers did not receive proactive updates or follow-ups, impacting engagement and satisfaction levels.

Limited Insights into Support Metrics: Lack of real-time insights into customer support metrics affected decision-making and service improvements.

Agentforce AI-Powered Chatbot for Real-Time Assistance: • Integrated Agentforce chatbot to handle FAQs and technical queries, reducing manual workload. • Provided instant responses to common support inquiries related to cloud solutions and services.

Automated Technical Query Resolution & Knowledge Base Integration: • Developed an AI-powered knowledge base that enables self-service resolution for frequent technical queries. • Reduced dependency on manual support by surfacing relevant documentation and solutions.

Intelligent Case Routing & Escalation Management: • Implemented an intelligent ticketing system within Agentforce that assigns cases to the right teams based on query type and complexity. • Ensured seamless case escalation for unresolved issues with full context preservation.

Proactive Customer Engagement & Follow-ups: • Automated follow-ups for ongoing cases to keep customers informed about resolution progress. • Sent proactive notifications and recommendations based on customer interactions.

Real-Time Analytics & Performance Insights: • Integrated dashboards and reports to track key performance indicators (KPIs) such as response time, resolution rates, and customer satisfaction. • Provided actionable insights for continuous service improvements.