Make your customers want to engage again dialogg.ai
Make your customers want to engage again Luc Jacobs CEO and founder of Nixxis “In a highly competitive landscape, we aim to provide you with an efficient, powerful and reliable tool. In this regard, we have invested heavily in R&D and trained highly qualified teams in order to provide you with a premium professional service. “
AI in the Contact Centre 01
Call Centre AI Market 2023-2030
Industrial Revolution (1760-1840) = + 75% of Costs are Human Energy for boiling water
Industrial Revolution (1760-1840) 25% of Costs are Human
What happened with skills & salaries?
Problem 1 Humans in Contact Centres Customers spend dozens of minutes waiting in queue and even more outside of business hours First-call resolution rate is usually too low (too much call-back necessary Current customer service still generate too much client dissatisfaction (churn, bad reputation) Problem 2 Problem 3
Where AI can (really) help today & tomorrow? REAL-TIME speech-to-text technology that helps agents understand better the live client interaction. We engage the future of optimized Agent and Supervisor TRANSLATE LIVE POST-CALL ANALYSIS Agent Assist each customer exchange and turn it into a growth opportunity (upselling, anti churn process, increase the FCR,...) that serves as the ultimate foundation for quality monitoring, intelligent understanding of each customer conversation and automatic compliance Supervisor Assist Instant Sales Opportunities Objection Handling Auto Quality Monitoring Auto Coaching Auto Compliance Data insights AI Virtual Agent
How are you working today? Answers to 80% of repetitive questions are done by your agents using standard scripts and manual "copy and paste", making them sounds like robots.
With Generative AI Transform your existing business expertise into natural, engaging conversations that addresses customer issues effortlessly and automatically .
ChatGPT A clear leader
Our implementation model We are using API and SDK to implement ChatGPT which helps to easily integrate with various platforms like web , mobile and social media . We also provide the mechanism to help user administrator to interact with the AI instance. Data Input to ChatGPT. ChatGPT can process various types of data, making it versatile for customer interactions. It accepts the following types of data: Textual Data : Plain text input for questions and inquiries. Documents : PDFs, Word files, or other document formats containing relevant information. Web Pages : URLs of web pages that contain customer service information. API Integrations : Integration with other systems to fetch real-time data, such as customer profiles or order status.
A True Global Solution Clarification Model trained to recognize its limitations and prompt users for clarification Escalation Graceful handover mechanism to transfer such queries to human agents for complex questions. Integration Defining the platforms to integrate: Web, Mobile, Social. Our APIs and SDKs reduce the implementation cost Security Hosting on Azure ISO27001 infra with data encryption and full compliance with regulations (HIPAA, GDPR, etc.). Training Initial Training but also the Continuous Training to ensure the AI is updated Monitoring Provide Human Review to improve accuracy and relevance. Privacy Sensitive user data, anonymized or removed before feeding initial training data to AI.
Data Sources To effectively train ChatGPT for customer service, we need access to diverse and relevant data sources . These can include: Customer Support Tickets : Historical customer inquiries and support ticket data. FAQs : Frequently Asked Questions documents and knowledge bases. Product Documentation : Manuals, guides, and documentation related to your products or services. Social Media Interactions : Data from social media platforms, including customer feedback and queries. Chat Logs : Historical chat conversations from previous customer interactions. Data sources need to be regularly updated to ensure ChatGPT's responses remain current and accurate.
Customer Use Cases 03
Helpdesk Bot The Company ARC is an American moving relocation company . They offer relocation services to clients all across USA. They keep receiving the same questions from users a lot like: “When does the move starts? How can I submit over budget expenses?” Those questions take ARC employee a lot of time to answer and then follow-up with users. Objectives ARC wanted an AI Chatbot to: Act as ARC virtual assistant helping transferee’s concerns about their moving including personalized recommendation . Help ARC’s clients to quickly get a summary on how their employees move are going.
Helpdesk Bot Results Increase of over 15% the conversion rate of new clients. Removed 25% of human effort to answer most common concerns. Increase of 17% overall NPS (Net Promoter Score).
Sales Bot The Company Agoyu is a moving platform which offer consumers the ability to search for pricing and connect to movers across USA and get the best discounted offer using the embedded bidding system. The problem is that the consumers often went to Agoyu to search for the best prices and then leave for Agoda or Booking.com to book the rest of their trip. Objectives Agoyu wanted an AI Assistant to: Automatically follow up with the abandoned cart via SMS and/or email. Offer real-time consultations to convince customers to book further with them.
Sales Bot Results Increase by 28% the rate of returning customers . Increase 10%+ in Lead conversion. Reduced by 23% human efforts in customer support.