Sold by: Instadesk
Deployed on AWS
Instadesk LLM Inbound Voicebot is an intelligent voice interaction system powered by large language models, capable of handling inbound customer calls 24/7 automatically. The system supports 100+ languages with multi-turn dialogue, contextual memory, sentiment analysis, and emotion recognition capabilities. It seamlessly integrates with CRM/ERP business systems to automate complex scenarios including order inquiries, transaction processing, and after-sales support. Compared to traditional IVR menu navigation, this solution increases call self-service resolution rates from less than 20% to over 80%, significantly reducing labor costs and customer churn.
Overview
Traditional IVR menu-based voice navigation has long been a pain point for customers users must repeatedly press buttons, navigate deep menu hierarchies, and are forced to transfer to human agents when they make a wrong selection or encounter complex issues. This leads to continuously declining customer satisfaction. Industry data shows that over 80% of customer inquiries still come through voice channels, yet the inefficiency of traditional interaction methods has become the biggest bottleneck in enterprise customer service systems.
Instadesk LLM Inbound Voicebot fundamentally transforms this landscape. Powered by proprietary vertical-specific large language models and advanced natural language understanding technology, the voicebot can understand customer needs just like a human agent, with capabilities including colloquial expression recognition, complex long-sentence comprehension, and contextual memory continuity. Customers dont need to learn any operational procedures, they simply speak naturally, and the system automatically understands intent and completes the service.
Core Technical Capabilities
LLM-Powered Semantic Understanding Breaks through the limitations of traditional keyword matching, accurately recognizing colloquial expressions, ambiguous references, and complex logic, with intent recognition accuracy reaching over 85%
Contextual Memory and Multi-Turn Dialogue Supports 10+ rounds of coherent conversation, maintaining continuity even with interruptions or topic jumps
Sentiment and Emotion Recognition Identifies customer emotional states through voice analysis, proactively adjusting service strategies when dissatisfaction is detected to prevent complaint escalation
Seamless Business System Integration Deep integration with CRM, ERP, and ticketing systems via an agent orchestration engine, enabling a conversation-as-transaction closed loop
Multilingual Localization Support Supports 100+ languages and natural dialogue in smaller languages including Indonesian, Malay, Vietnamese, and Thai, deeply adapted for Southeast Asian and other overseas markets
Application Scenarios
Product Inquiries 24/7 automated answers to questions about features, pricing, and inventory
Order and Logistics Tracking Real-time order system integration for instant order status and shipping information
After-Sales Service and Repair Requests Guided customer service request submission, automatic ticket generation, and dispatch
Complaint Handling Complaint intent identification, intelligent routing to appropriate processing nodes, and automated ticket creation
Account Management and Transactions Password resets, information changes, appointment bookings, and other operational requests
Deployment and Compliance Assurance The system supports three flexible deployment options SaaS, private cloud, and hybrid cloud with multi-region sites already established on AWS in Singapore, Japan, Europe, and the United States, precisely meeting global compliance requirements including GDPR and CCPA. Enterprises can adopt the solution in phases according to business development needs or deploy the complete solution at once.
Highlights
- Powered by LLM based deep semantic understanding and multi-turn dialogue, the system automatically handles over 80% of routine inbound calls,including order inquiries, product questions, and after-sales support with human transfer reserved for complex scenarios. Compared to traditional IVR resolution rates below 20%, this solution reduces labor costs by more than 30%, allowing teams to focus on high-value service.
- Through a powerful agent orchestration engine, the system directly calls CRM,ERP, and ticketing system APIs to complete operational closed loops including returns, logistics tracking, password resets, and appointment bookings. Customers never need to repeat themselves; the voicebot automatically tags key information and syncs it to human agents, ensuring service continuity and delivering true conversation-as-transaction.
- The system is already deployed across multiple AWS regions, including Singapore, Japan, Europe, and the United States. It supports 100+ languages and natural dialogue in smaller languages such as Indonesian and Malay, deeply adapted for Southeast Asian, European, and American markets. Meeting global compliance requirements including GDPR and CCPA, it is an ideal choice for Chinese enterprises going global and local overseas enterprises undergoing digital transformation.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Cost/month |
|---|---|
pro_inbound_seat | $5,999.00 |
100k_Pro_Min | $1,710.00 |
LLM_inbound_seat | $10,999.00 |
100k_LLM_Min | $3,060.00 |
Dimensions summary
This contract listing charges through four separate units you combine to fit your needs. Two of them are seat units: one Pro inbound seat and one LLM inbound seat. These represent agent capacity for the two service levels. The other two are call-minute bundles, each sold in blocks of 100,000 minutes: one Pro minute pack and one LLM minute pack. You buy seats to enable agents and minute bundles to cover call volume. Add more units as your seat count or usage grows. Pricing scales with the quantity of each unit you select.
Top-of-mind questions for buyers
A seat represents agent capacity for handling inbound calls at that service level. The Pro seat covers standard inbound handling. The LLM seat uses large language models for natural speech understanding, context retention across turns, and document retrieval from your knowledge base. You buy one seat per concurrent agent slot you need.
Seats and minute bundles bill independently and appear together on one invoice. Seats enable agent capacity. Minute bundles cover call volume in blocks of 100,000 minutes. For heavy call traffic, minute bundles usually drive the larger share. Add more of either unit as your needs grow.
Each bundle covers a fixed block of 100,000 call minutes at the matching service level. When usage nears that block, you buy additional bundles to cover more volume. Pro minutes apply to Pro service and LLM minutes apply to LLM service. Bundles do not convert between service levels.
www.instadesk.com
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