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About CROSS-CRM

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CROSS-CRM Details

Vendor
CROSSCX
Year Launched
2008
Location
7, Rue Léo Delibes, Paris, Île-de-France 75116, FR
Deployment
cloud
Training Options
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Chinese
Users
CRM Managers, Customer Service Managers, Marketing Analysts, Sales Managers, Team Trainers, Quality Assurance Specialists, Contact Center Supervisors, Data Analysts
Industries Served
Customer Service & Support, Telecommunications, Financial Services, Retail & E-commerce, Healthcare & Pharmaceuticals, Hospitality & Travel, Insurance, Banking, Government & Public Sector, Technology & Software
Tags
Contact Center, Customer Experience, CRM, Communication, Customer Service

CROSS-CRM's In-App Market Place

Does CROSS-CRM have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), INR (₹), JPY (¥), AUD (A$), CAD (C$), CNY (¥), HKD (HK$), SGD (S$)

Pros & Cons

  • Comprehensive Data Analytics: Integrates conversation and customer interaction data into centralized, real-time analysis for improved decision-making.
  • AI-Driven Insights: Features Speech Analytics with AI for sentiment analysis, speech-to-text, and proactive data enhancement, boosting customer engagement.
  • Quality Monitoring: Automatically evaluates up to 100% of customer interactions to maintain compliance and improve service quality.
  • CRM Data Integration: Connects and visualizes CRM data through customizable dashboards for efficient strategy development.
  • Employee & Customer Experience Focus: Enhances employee engagement with tools for training and retention, while also improving customer satisfaction.
  • Omnichannel Feedback Collection: Gathers insights from multiple channels, including voice, email, social media, and surveys, to understand customer needs better.
  • Tailored Employee Training: Includes LMS features for targeted team development and performance improvement.
  • Implementation Challenges: Advanced features like AI-driven analysis and comprehensive data integration may require significant onboarding time and expertise.
  • Dependence on Infrastructure: High reliance on robust IT systems and connectivity could be a limitation in regions with limited technical resources.
  • Complex Features: Customizable and comprehensive tools may necessitate extensive training for users to fully harness their potential.

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