What challenges did VavaCars face before AI implementation?

Manual processing of customer feedback created operational inefficiencies. Limited engagement and availability of customer support to answer queries and guide buyers. Customer service agents were overburdened, leading to slower response times and reduced satisfaction.

What was the impact of the AI solution?

Significantly reduced customer service team workload. Improved operational efficiency within customer service processes. Increased customer satisfaction due to personalized and always-available interactions.

Source

MicrosoftProductionEvidence: Low40/100

VavaCars automates customer feedback and enhances engagement

Use case typeConversational assistantsUpdated Jun 13, 2026

VavaCars collaborated with NTT DATA to launch Türkiye's first Microsoft Azure OpenAI implementation aimed at transforming customer engagement in the automotive sector. Following a detailed analysis of VavaCars’ business objectives, the company implemented an AI-powered chatbot on its website. The chatbot automates the previously manual customer feedback process and now provides 24/7 personalized vehicle recommendations. This automation has significantly reduced the workload for the customer service team. As a result, operational efficiency and customer satisfaction have increased. VavaCars' approach signals an intention to continue leveraging AI to perfect its customer experience. The project demonstrates tangible impacts for both employees and customers in automotive sales and after-sales processes.

Organization: VavaCars
Industry: Automotive
Location: Turkey
Published: November 2024

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: VavaCars
Provider: Microsoft
Maturity: Production
Linked source: nttdata-solutions.com

As a result, operational efficiency and customer satisfaction have increased

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Automated Customer Feedback Collection
224/7 Conversational Vehicle Recommendation
3AI-driven Customer Engagement via Chatbot

Deployment of an AI-powered chatbot integrated with VavaCars' website.
Utilized Microsoft Azure OpenAI Service for natural language understanding and dialogue.
Automated end-to-end management of customer feedback and personalized recommendations.
Executed as a full partnership project with NTT DATA delivering implementation, customizations, and integration.

Technologies

Azure OpenAI

Significantly reduced customer service team workload.
Improved operational efficiency within customer service processes.
Increased customer satisfaction due to personalized and always-available interactions.

Implementation partners1

NTT DATA

Sources & evidence1

Evidence: Low40/100Evidence strength