This company provides aplatform that helps businesses manage their sales, marketing, and customer service operations seamlessly. It uses data and artificial intelligence to enhance efficiency, improve customer satisfaction, and drive revenue growth. Itβs suitable for businesses of all sizes and industries, offering customizable solutions and integration with other tools to create aunified view of customers.
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Salesforce
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Primary Vertical
Clientelling and Customer Relationship Management (CRM)
These are public claims Blurbs AI believes to have been made by Salesforce.
More innovative technology
Salesforce claims that its technology is more innovative and powerful than competitors.
Better customer service
Salesforce claims that its customer service and support are superior to competitors.
Highly customizable platform
Salesforce claims that its platform is more versatile and customizable than competitors.
POS
LOYALTY
RETAIL
SALES
ECOMMERCE
CUSTOMERS
BlurbSTAR Case Study
Air India & Salesforce
Salesforce improves Air Indiaβs customer service with AI integration.
30%
Air India's market share target in India within 5 years.
550,000
Service cases Air India handles monthly.
This profile remains unclaimed. Blurbs can only offer a partial, unverified case
study.
1.
Situation
Air India faced challenges due to decentralized data and high call volumes which made delivering consistent customer experiences difficult. With 550,000 incoming service cases each month, it was a struggle to provide a seamless experience from agent to agent.
2.
Task
Air India aimed to modernize its service experience by giving its customer-facing employees a comprehensive view of customers across all data sources. The goal was to connect disparate data and improve agent productivity using generative AI.
3.
Action
Air India partnered with Salesforce, utilizing solutions like the Einstein 1 Platform, Data Cloud, and Service Cloud. These products unified customer data from various systems, enabling agents to access 360-degree customer views and receive AI-powered recommendations for better service.
4.
Result
The integration led to improved agent efficiency and personalized customer interactions. Agents could resolve cases quicker and offer better recommendations, such as automatic seat upgrades for delayed flights. The move towards AI-driven responses also promises consistent brand messaging across agent interactions.
Keywords
SALESFORCE
EINSTEIN 1 PLATFORM
DATA CLOUD
SERVICE CLOUD
CUSTOMER EXPERIENCE
AI RECOMMENDATIONS
AGENT PRODUCTIVITY
DIGITAL TRANSFORMATION
UNIFIED CUSTOMER DATA
GENERATIVE AI
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