CWX
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Technology / Software

Groundbreaking multi-turn Vertex AI conversation agent

Client
Zinier
Industry
Technology / Software
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01Client and problem

Field-service teams needed real-time, AI-driven answers on technicians and operations.

02What CWX delivered

A multi-tenant Vertex AI conversation agent built with Dialogflow CX, LangChain and ReAct.

03What changed

Personalized support and analysis across structured and unstructured field data.

01

Highlights

Zinier, a leader in field service management software, collaborated with CWX to integrate a multi-tenant Vertex AI Conversation Agent. This AI-driven solution enhances operations, providing real-time insights and personalized support for optimized field service management.

02

The challenge

Zinier needed to improve technician management, operational efficiency, and real-time decision-making using AI-driven insights, requiring seamless data migration to GCP and a scalable, secure infrastructure for enhanced service delivery.

03

The solution

CWX developed a Vertex AI Conversation Agent using Dialogflow CX, Langchain, and ReAct frameworks. This agent integrates Zinier’s data on GCP, offering personalized support and analytical capabilities for structured and unstructured data.

04

The implementation process

The CWX solution boosted technician management, operational efficiency, and real-time decision-making. Zinier’s platform now delivers enhanced AI-driven insights, showcasing GCP’s AI capabilities and setting the foundation for future AWS migration.

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