Cookie Settings
Get access to all the tools and information necessary for the customer's life cycle at Odigo by heading to our client portal
Provide around-the-clock personalized and convenient customer care.
Automatically recognize customer context and respond appropriately in a natural way.
Consistently learn and improve from previously unrecognized new intentions.
Deliver tailored answers to your customers by using real-time data to ask meaningful questions.
Drag and drop builder to create meaningful, natural conversations powered by AI.
Offer an omnichannel bot on a wide range of channels such as phone, chat, and WhatsApp.
Understand customer’s intent through advanced natural language understanding (NLU) and automate conversation analysis and summarization with generative AI.
View key indicators on language usage and supervise bot conversations to make the right changes to your bot.
With banks reducing their number of brick-and-mortar locations, how can they continue to deliver rewarding, personalized customer experience?
By deploying a truly omnichannel bot, you can provide your customers with the personalized care they want with the increased freedom and convenience that self-service delivers, anytime, anywhere and on any device.
Discover how 30+ years of experience in managing vocal journeys through interactive voice recognition (IVR), augmented with natural language processing (NLP), can streamline your automation-based qualification process.
Our 24+ years of natural language understanding (NLU) experience drive AI innovations that facilitate natural conversations with your customers.
Easy integration with the latest AI technology from Google and IBM enables you to assemble the most effective set of tools for your contact center.
AI with contextual understanding provides agents with recommendations that improve resolution rates.
Design and run intelligent outbound campaigns that encourage engagement and strengthen customer relationships.
A customer service bot is an automated interactive program designed to provide customer service or information in real-time. They can be very simple rule-based programs or use various AI methodologies like natural language understanding, conversational AI or generative AI to better understand and respond to inquiries or requests.
A chatbot is a great way to provide 24/7/365 service through text-based interfaces like messaging apps, websites or mobile apps. These customer service bots utilize increasingly sophisticated AI methodologies, making it easier than ever to interact with them. A further bonus is that by collecting contextual details these bots can also pre-qualify queries, providing agents with details that will accelerate resolution and optimizing the use of agent time.
Designing and building a customer service bot involves several crucial steps: defining objectives, selecting a platform or framework, designing conversational flows, training on high-quality data, establishing KPIs and integrating and deploying the bot. Utilizing a SaaS-based provider can simplify this process, especially for organizations lacking in-house expertise. These platforms offer customizable solutions and low-code interfaces for easy changes, to streamline deployment and maximize efficiency.
The ‘best’ AI for customer service depends on several factors, including the specific needs and objectives of your business and the intended function of the customer service bot. Natural language understanding, powered by large language models or conversational AI, is advantageous, particularly in industries with diverse terminology. However, the significance of this feature may vary based on the touchpoints offered to customers. In scenarios where a few high-frequency FAQs dominate, a basic bot with well-planned and tested responses may suffice. Conversely, in industries with stringent regulations or where accuracy is paramount, using generative AI could pose risks of breaching protocols with serious implications.
Request a demo
Contact our experts
Client testimonials
