The future of conversational AI is now
Embark on a journey into the future of conversational AI with Grid Dynamics, where innovation meets customer engagement at the speed of now. LLM-driven conversational AI is modernizing digital communication and empowering enterprises to redefine customer experiences. Whether it’s the convenience of a virtual shopping assistant, the ease of contact center automation, or the expediency of GenAI-powered knowledge discovery, we tailor production-ready AI solutions that put your customers at the forefront.
Leverage breakthroughs in natural language processing (NLP), semantic search, question answering, and large language models (LLMs), ensuring relevant, on-demand and personalized results that seamlessly mimic human interaction. As the torchbearers of AI innovation and customer-centricity, Grid Dynamics is not just bringing you the future of conversational AI now; we’ve been delivering it for over 8 years. However, as we witness the current surge of conversational AI on a truly monumental scale, your journey into this transformative world can’t wait any longer.
Conversational AI use cases
VIRTUAL SHOPPING ASSISTANT
Redefine CX from discovery to delivery
Virtual shopping assistants redefine the retail experience by seamlessly integrating a suite of features. Conduct product searches and receive personalized recommendations tailored to your preferences. Compare products effortlessly and have your questions about them answered in real time. The assistant navigates unstructured data, delving into customer Q&As, reviews, how-to articles, and more, providing comprehensive insights. Finally, streamline your purchasing process by making orders directly through the assistant. This all-in-one shopping assistant ensures a convenient and informed shopping journey, combining search, comparison, information retrieval, and transaction capabilities in a single, intuitive interface.
CUSTOMER SUPPORT
Streamline and accelerate customer support
Enhance customer satisfaction through AI-powered support optimization. Implement smarter self-service bots with natural language understanding for 24/7 multilingual assistance and personalized experiences. Automate call centers and common requests like order status using speech recognition. Reduce strain on agents via smart routing and boost productivity with conversation summaries, on-brand smart responses, and seamless access to company knowledge bases.
AI COPILOT
Harmonize customer interactions
Navigating the complexities of customer interactions, an AI-powered copilot system serves as an invaluable aid for seamless transitions to live agents. In situations where some questions require the expertise of a human touch, the copilot steps in to summarize the ongoing conversation, ensuring a smooth handover to customer support agents. Beyond that, it excels in finding, generating, and suggesting answers, enhancing the efficiency of support teams by providing instant and relevant information. With the ability to complement and assist, the Copilot redefines customer support, combining the strengths of AI and live agents for an unparalleled service experience.
KNOWLEDGE BASE
Get knowledge at your fingertips
Elevate your AI experience with a conversational knowledge base, seamlessly incorporating a wealth of information for enhanced efficiency and collaboration. Accelerate new employee integration by providing easy access to essential onboarding materials and company policies, foster efficient collaboration through expertise discovery that connects employees with internal experts, improve daily task efficiency by offering real-time information support, and elevate decision-making with data-driven insights.
CONVERSATION INTELLIGENCE
Identify customer insights
Uncover the hidden gems in your customer interactions through conversation intelligence. Extract valuable insights from call transcript analysis, identify churn drivers, and conduct customer complaints analytics. Empower your business to make informed, data-driven decisions that enhance services and elevate the overall customer experience.
Conversational AI technologies
LARGE LANGUAGE MODELS (LLMS)
Harness the power of conversational AI with LLMs
As pioneers in enterprise AI, we are leading the charge in harnessing the power of generative AI and LLMs. From chatbots and customer support to advanced search and copilot systems, we’ve mastered various applications, including question-answering, summarization, and analytics. Enrich the landscape of human-AI interactions by integrating cutting-edge LLMs, setting the stage for a new era of seamless and intelligent communication.
NATURAL LANGUAGE PROCESSING (NLP)
Craft nuanced conversations with NLP
By incorporating advanced NLP techniques across our conversational AI solutions, we ensure dialogue management, intent classification and named entity recognition that goes beyond traditional AI. From crafting personalized shopping experiences to refining search capabilities and empowering insightful analytics, our expertise in NLP transforms conversational AI into a nuanced and intelligent conversation with your users.
SEMANTIC VECTOR SEARCH
Semantic search revolution: Beyond keywords
Take your search experience to new heights with AI-powered semantic vector search technology. Our numerous implementations for Tier 1 US retailers are a foundational achievement, enhancing the discoverability of products and information through the power of semantic vectors and contextual relevance. Whether you’re searching for products, documents, or next best actions, this innovation ensures accurate, relevant, and personalized results, setting a new standard for search capabilities in the digital landscape.
QUESTION ANSWERING SYSTEMS
Answer beyond limits with BERT
Transcend the barriers of question-answering systems with BERT-based technology. We focus on domain adaptation for machine reading comprehension using Transformers, pushing the boundaries of AI capabilities. This initiative is not just about understanding and responding to user queries; it’s about providing a level of intelligence that transforms the way information is processed and shared.
Our clients
RETAIL
HI-TECH
MANUFACTURING & CPG
FINANCE & INSURANCE
HEALTHCARE
How our conversational AI technology works
Designing conversational AI is a multidisciplinary field. To understand the user, we combine our expertise in ML-based speech recognition and natural language processing with context management to maintain the actual state of the dialog.
To fulfill user requests, we employ our deep expertise and familiarity with solutions in search, question answering, and enterprise integration.
With years of experience in enterprise integration and system engineering, we are able to seamlessly connect conversational AI capabilities with existing enterprise services.
At the heart of the Conversational AI system lies a dialog manager that is responsible for tracking the context of the conversation. It maintains the state of the conversation, routes incoming requests to specific dialog agents, supports context switching and more.
We employ a hybrid of rule-based and neural dialog managers to create a smooth and reliable conversational experience.
We use state-of-the-art NLP models to solve tasks like intent classification, entities and relation extraction, coreference and more. We employ a variety of transfer learning and knowledge distillation techniques to help adapt the solution to your domain specifics.
Question answering based on unstructured data such as product descriptions, FAQ, reviews or knowledge articles is an essential part of the conversational AI functionality. We use the latest Machine Reading Comprehension models to ingest and analyze your data and automatically extract the answers your customers need.
Accelerate implementation with our Conversational AI blueprint
We have developed a battle-tested reference architecture for an AI conversational system. This microservices architecture simplifies the extension of virtual assistant functionality with new dialog agents and allows for the mix and match of in-house and 3rd party implementations of key capabilities.
We focus on open source and cloud native software, and state-of-the-art deep learning model architectures to enable seamless deployment on any public cloud or private infrastructure. We partner with AWS, Google Cloud, and Microsoft Azure cloud providers to ensure the highest efficiency and best practices.
Features
- Open source — we utilize state-of-the-art open source modules in your custom-designed application. Using well supported open-source modules ensures your application will remain relevant, regardless of future trends.
- Pluggable cutting-edge NLU models — state-of-the-art NLP models are used to solve tasks like Intent and Entity extraction. We use various transfer learning techniques to adapt the solution to specific domains.
- Support for a variety of channels — Google Home, Alexa, Facebook Messenger, Slack, or Teams, our architecture supports a wide array of channels.
- Bespoke language models tuned to your domain — this ensures the best possible understanding of your user base.
- Highly scalable and robust — microservices architecture ensures high scalability and resilience.
Technology stack
- Infrastructure — AWS, GCP, or Microsoft Azure are supported. On-prem solutions are available as well.
- Deep learning — a choice of TensorFlow or Pytorch.
- NLU/NLG — bespoke in-house models, Dialogflow, Lex, or Luis integration.
- Question answering — bespoke in-house models, Kendra, Q&A maker.
Read about our conversational AI
Get started with Conversational AI
We provide flexible engagement options to design and build conversational AI systems. Contact us today to start with a workshop, discovery, or PoC.
Workshop
We offer free half-day workshops with our top experts in conversational AI to discuss how to apply virtual assistants to your business and share industry best practices.
Proof of concept
If you have already identified a specific use case for visual search we can start with a 4–6 week proof-of-concept project based on your data and your domain to demonstrate the power of modern conversational AI.
Discovery
If you are in the stage of requirements analysis and strategy development, we can start with a 2–3 week discovery phase to identify the correct use cases for conversational AI, design an optimized solution, and build an implementation roadmap.
More AI solutions
Modern conversational AI is redefining our workday, our shopping experience, our homes, and our daily habits. As more and more conversational devices and virtual assistants enter our lives, customers and employees expect to be able to engage in conversation with your enterprise from any device or channel, on‑demand, day or night.
We design and implement conversational AIs that will empower your team and delight your customers.
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