How a CX Services Firm Improved CSAT by 25% Using Salesforce Einstein AI

A growing CX services organization handling thousands of customer interactions daily needed a scalable platform to unify customer data, reduce response times, and unlock predictive insights across sales and service teams.

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Author
IDRMS Team
8 min Read
January 28, 2026

Business Context

A growing CX services organization handling thousands of customer interactions daily needed a scalable platform to unify customer data, reduce response times, and unlock predictive insights across sales and service teams.

Core Challenges

• Fragmented customer interactions across channels


• High average call handling time impacting CSAT


• Missed leads due to delayed follow-ups


• No predictive insight into customer intent or sentiment


• Manual processes limiting upsell and cross-sell opportunities

Content Image

IDRMS Solution Approach

IDRMS designed and delivered an AI-powered Salesforce Service Cloud architecture focused on speed, intelligence, and personalization.


Key components included: Service Cloud for omnichannel case management and SLA tracking, Agentforce to automate website lead capture and route leads intelligently, Einstein AI to predict lead conversion likelihood, analyze customer sentiment in real time, and recommend next-best actions for agents.


Marketing Cloud was integrated to trigger automated, behavior-based engagement, and Einstein Activity Capture provided a 360° customer interaction timeline.

Measurable Results

• 30% reduction in average handling time


• 40% increase in qualified lead conversions


• 25% improvement in CSAT scores


• 20% increase in upselling success

CX TechnologyCase StudySalesforceEinstein AI
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