SoftServe Digital Concierge
Enhance your customer service with Generative AI. SoftServe Digital Concierge, accelerated by NVIDIA NIM™ inference microservices and NVIDIA Avatar Cloud Engine (ACE), makes it all simple. Acting as a company representative , it offers in-depth knowledge, supports navigation, and answers inquiries 24/7. The solution reduces wait times for your customers and lets your team focus on complex, high-value tasks instead of handling routine queries.
Across multiple sectors — fintech, healthcare, retail, or public services — businesses face growing demands for quick and personalized customer interactions. Failing to address this leads to higher operational costs, lower customer satisfaction, and lost revenue.
The Digital Concierge accesses your data and can provide it to customers, employees, and anyone needing prompt assistance. Whether online or at your physical locations, it delivers accurate information every time, without exception. All while the latest advancements in Generative AI and computer graphics make every interaction more engaging and personalized.
SoftServe digital concierge makes it happen.
Digital Concierge Explained
SoftServe Digital Concierge is an interactive virtual assistant accelerated by the Gen AI and NVIDIA suite of tools. It brings AI-driven customer service capabilities to multiple sectors, making interactions more engaging and efficient.
Built on NVIDIA AI Enterprise, Digital Concierge benefits from the rapid deployment of Gen AI workflows through the application of NVIDIA NIM. This enables the avatar to handle large data volumes, process natural language, and recognize audio with high accuracy.
- Cut down on the need for extra staff
- Make customer interactions smoother
- Improve overall operational performance
- Reduce expenses with smarter solutions
How It Works
Front End – Digital Avatar
SoftServe Digital Concierge uses NVIDIA ACE, NVIDIA Riva, and the NVIDIA Audio2Face component to deliver a highly realistic virtual assistant. Thanks to the Character Creator tool, it captures speech and facial expressions with impressive detail.
Core Brain – LLMs and Gen AI
With RAG capabilities from the NVIDIA NeMo stack, SoftServe Digital Concierge responds to requests, refers to context, and conveys specific and up-to-date information to your customers. The assistant breaks down complex queries into simple answers and can provide detailed explanations when needed.
Back End – Internal Integration
Digital Concierge integrates with your existing systems and databases, enriching conversations with detailed and contextually relevant information. It uses both historical and personal data to offer tailored explanations and responses.
Solution Architecture
The Digital Concierge is built on two critical NVIDIA technologies: NVIDIA Riva
provides automatic speech recognition and text-to-speech capabilities with high accuracy
and performance. Meanwhile, the NVIDIA NIM gives access to preferred open-source language
models, such as Llama and Mistral.
NVIDIA AI Enterprise Software Used
- NVIDIA ACE Agent
- NVIDIA Riva
- NVIDIA Audio2Face
- NVIDIA NIM
- Vision AI
Use Cases
Customer Support
Customer Support
- Serve hundreds of people at once
- Provide support in multiple languages: English, Spanish, German, French, and more upcoming soon
- Enhance your brand's customer satisfaction
Product and Services Education
Customer Support
- Serve hundreds of people at once
- Provide support in multiple languages: English, Spanish, German, French, and more upcoming soon
- Enhance your brand's customer satisfaction
Navigation Assistance
Customer Support
- Serve hundreds of people at once
- Provide support in multiple languages: English, Spanish, German, French, and more upcoming soon
- Enhance your brand's customer satisfaction
Customer and Staff Onboarding
Customer Support
- Serve hundreds of people at once
- Provide support in multiple languages: English, Spanish, German, French, and more upcoming soon
- Enhance your brand's customer satisfaction
Customer Support
- Serve hundreds of people at once
- Provide support in multiple languages: English, Spanish, German, French, and more upcoming soon
- Enhance your brand's customer satisfaction
Our Implementation Cycle
01Rapid Assessment Workshop
- Clarify the specific business use case
- Understand the client's business goals and desired outcomes
- Identify pain points and areas for optimization
- Review existing data sources and identify required data points
- Develop an implementation roadmap and prepare a proposal
02Pilot Phase
- Design a prototype to showcase core functionalities
- Build and validate the solution as POV
- Conduct testing and gather feedback for improvement
- Document performance and code details
- Get ready for large-scale rollout
- Share results for client review and approval
03Deployment at Scale
- Move from POV to production-ready
- Scale the solution according to business requirements
- Continuously upgrade and enhance the system
- Advise on further integration and utilization of the digital assistant
- Establish monitoring processes using MLOps best practices
- Provide ongoing support and maintenance
- Clarify the specific business use case
- Understand the client's business goals and desired outcomes
- Identify pain points and areas for optimization
- Review existing data sources and identify required data points
- Develop an implementation roadmap and prepare a proposal