Case Study · Manufacturing

Transforming Dealer & Customer Support with AI

Global OEM Dealer & Service Network

An AI-powered service intelligence platform unified enterprise knowledge to deliver faster, more accurate support across dealer and customer interactions.

Problem

The client managed a global dealer and customer service network where support teams relied on emails, calls, manuals, and legacy systems to resolve service requests. Agents spent valuable time searching for information, leading to inconsistent responses, frequent escalations, longer resolution times, and an inconsistent customer experience across regions.

Approach

Intellectyx implemented an AI-powered Dealer & Customer Service Intelligence platform that consolidated service manuals, historical tickets, CRM data, and enterprise knowledge into a unified intelligence layer. Specialized AI agents retrieved relevant context in real time, suggested accurate responses, triggered service workflows, and continuously improved recommendations through feedback, enabling support teams to resolve customer queries faster and more consistently.

Our Solution

Agents We Created

Specialized AI agents engineered to automate and optimize business operations.

Query Capture Agent
Knowledge Retrieval Agent
Context Assembly Agent
Response Suggestion Agent
Action Trigger Agent
Learning & Feedback Agent
The Platform

See It In Action

A look inside the Dealer & Customer Service Intelligence platform our AI agents power.

platform.intellectyx.com/support
Customer support queue dashboard listing open tickets, SLA risk, and AI auto-resolution rate Ticket detail view with AI diagnosis, confidence score, and a suggested customer response
Technology Stack

Tools Used

Cutting-edge technologies powering intelligent automation.

LangChain LangChain
LangGraph LangGraph
GPT-4o GPT-4o
Microsoft Azure AI Microsoft Azure AI
Azure Blob Storage
Salesforce Service Cloud Salesforce Service Cloud
Microsoft Dynamics 365 Microsoft Dynamics 365
PostgreSQL PostgreSQL
pgvector
Python
SharePoint
Results That Matter

Outcome Metrics

Measurable impact delivered through intelligent automation.

20–30 Mins

Average response time

50%

Reduction in agent handling effort

40%

Improvement in response consistency

30%

Reduction in repeat queries

Improved

Dealer and customer experience

AI-Powered

Knowledge retrieval and response assistance

One Story Among Many

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