🤖 You can watch a demo here -> AI Call Demo
HelloDesk AI is an AI sales call agent designed for handling both inbound and outbound calls.
It helps clients save time by providing accurate transcripts, detailed call summaries, and insightful analytics. The AI is engineered to sound like a real human, ensuring a natural and engaging interaction for users.
Role : Freelance Design Consultant
Responsibilities : 0 to 1 Product Design
Team : Solo Designer
Timeline : 1 Month
How can we simplify inbound AI calls and analytics for salespeople?
Constraints
Develop a simple MVP with basic features.
Initial version excludes dynamic scheduling capabilities.
Prioritize testing and refining the MVP before adding advanced features.
Focus on core functionalities like automated call handling and basic analytics.
Limit scope to ensure stable and reliable performance in initial rollout.
The Indian Artificial Intelligence Market size was valued at USD 5.2 Billion in 2022 and is projected to grow to by USD 23.4 billion by 2032, exhibiting a CAGR of 18.20%
Businesses in India are increasingly looking to automate tasks and improve efficiency. AI sales agent tools can help with repetitive tasks like lead generation, qualification, and email outreach, freeing up salespeople for more strategic activities.
Limited Possibilities for Tracking Progress: It is challenging to monitor and measure progress effectively without automated tools.
High Potential for Human Error: The manual nature of dialling numbers and recording customer information increases the risk of mistakes and omissions.
Difficulty in Tracking Call Summaries: Manually keeping track of call summaries can be cumbersome and prone to errors.
Challenges in Monitoring Daily Call Metrics: It is difficult to consistently track and report on the number of connected and converted calls each day without automation.
Inefficiency in Calling Candidates: Calling candidates one by one from a list is time-consuming and inefficient.
Solutions
Call Details
Connected calls, failed calls, and converted calls can be displayed in the call history table or a separate dedicated section with counters or progress bars.
Scheduled calls can be highlighted within the call history or displayed in a separate calendar view.
Average pickup time can be shown as a separate metric on the dashboard.
Call Analytics
Analyze call data to identify the best and worst days for calling based on factors like call volume, success rates, and customer wait times. This can be displayed visually on a chart or graph.
AI-powered Call Summaries
Implement AI to analyze call recordings and generate summaries that capture key points, next steps, and any customer sentiment. This can be automatically displayed after a call.
Real-time Call Tracking
Use AI to categorize calls in real-time based on their status (connected, failed, etc.). This ensures accurate and up-to-date data on the dashboard.