Customer Experience and AI

Intelligent Chatbot

Give your customers instant answers 24/7 with chatbots powered by GPT and custom NLP models. Answer even complex questions with 95% accuracy thanks to natural language understanding, and hand over seamlessly to a live agent when needed.

Conversation Analytics

Analyze call center conversations with AI. Gain customer insights through sentiment analysis, topic classification and quality scoring. Boost agent performance by 30% and detect churn risk early.

Omnichannel Support

Unify web, mobile, WhatsApp, Instagram and social media channels on a single platform. Keep customer history in sync across all channels and deliver a consistent, personalized experience.

Self-Service Portal

Enable 70% of your customers to solve their issues on their own with an intelligent knowledge base and FAQ systems. Reduce call volume and increase customer satisfaction.

Our Capabilities

Intelligent Customer Experience Solutions

All the AI tools you need to transform customer service

Intelligent Chatbot & Virtual Assistant

Chatbots powered by GPT-4, Claude or custom fine-tuned models that deliver uninterrupted 24/7 customer support using your brand voice and knowledge base.

GPT-4/Claude integration or custom NLP model development
Multilingual support (TR, EN, DE, AR and 40+ languages)
Corporate knowledge base (RAG) and document analysis integration
Smart routing and handoff to live agents
Conversation history and context-aware responses

MVP: 4-6 Weeks | Full Scope: 10-14 Weeks

Conversation Analytics & Voice Analysis

Automatically transcribe call center conversations, run sentiment analysis and gain customer insights. Optimize agent performance and customer experience.

Automatic transcription with Speech-to-Text (97%+ accuracy)
Sentiment analysis: positive, negative, neutral and emotion shift mapping
Topic classification and trend analysis
Agent quality scoring and coaching recommendations
Early warning system for customer churn risk

Pilot: 6-8 Weeks | Full Scope: 12-16 Weeks

Omnichannel Customer Platform

Unify web, mobile app, WhatsApp Business, Instagram DM, Facebook Messenger and email channels on a single platform. Deliver a consistent, personalized experience.

WhatsApp Business API, Instagram and Facebook Messenger integration
Single customer view (360° customer view) and history synchronization
Channel-based performance analysis and reporting
Automatic ticket creation and CRM integration
Personalized message templates and campaign management

Pilot: 6-8 Weeks | Full Scope: 14-18 Weeks

Self-Service Portal & Knowledge Base

Enable 70% of your customers to solve issues on their own with smart search, AI-powered FAQs and interactive guides. Reduce call volume.

AI-powered semantic search and smart recommendation system
Dynamic FAQs and automatic content updates
Interactive troubleshooting guides (decision trees)
Video tutorial integration and step-by-step guidance
User behavior analysis and content optimization recommendations

Pilot: 4-6 Weeks | Full Scope: 8-12 Weeks

How We Work

Our Implementation Process

From needs analysis to go-live, with a structured approach

1. Customer Journey

Mapping current experience.

2. Data Unification

CRM + social + web data.

3. AI Models

Forecasting and segmentation.

4. Operational Integration

Presentation to CX team.

Why Vintara?

Transform Your Customer Experience with AI

Book a free demo call with our chatbot and customer service experts. Let us show you in a live demo how we can add value to your business, and build an implementation roadmap tailored to you.

B2C and B2B experience

Turkish NLP proficiency

GDPR/KVKK compliant

Rapid integration

Request a Demo Now +90 216 740 04 93

60% Operational Cost Reduction

95% Response Accuracy Rate

24/7 Uninterrupted Support

Frequently Asked Questions

What clients ask most about this service

Will an AI assistant (chatbot) genuinely help our customers?

Well-designed assistants answer frequent questions instantly and hand complex requests to humans with full context. The goal is to reduce support load without hurting satisfaction; handover rates are measured continuously.

How does churn prediction work?

Customers at high risk of leaving are identified early from historical behaviour data; retention actions are prioritised by risk score and their impact is measured.

What data is needed for personalisation?

Purchase history, site/app behaviour and segment data are sufficient. All personalisation is designed with GDPR/KVKK-compliant consent management.

Does it integrate with our existing CRM?

Yes. Solutions are integrated into your CRM; your teams keep working in the interface they know, with no separate system to manage.

AI Consulting