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neonFin
Discover Your Hidden Spending Habits

What is neonFin?

neonFin is an innovative financial management platform that transforms traditional budgeting into an engaging and insightful experience. The platform leverages AI-powered receipt scanning technology and advanced analytics to help users track their expenses, understand spending patterns, and make informed financial decisions.

The platform offers comprehensive features including real-time analytics, automated receipt scanning, and lifestyle budgeting tools that track not just expenses but also factors like CO2 emissions and nutrition scores. With its gamified approach through a points system and cross-platform accessibility, neonFin ensures users stay motivated while maintaining complete control over their financial journey.

Features

  • AI Receipt Scanner: Automated receipt and barcode scanning for effortless expense tracking
  • Real-time Analytics: Comprehensive spending analysis and trend identification
  • Lifestyle Budgeting: Track finances, CO2 emissions, and nutrition scores
  • Gamification System: Earn points and unlock levels for meeting budget goals
  • Cross-platform Accessibility: Access budgets from any device
  • Security: GDPR-compliant with EU-based secure data storage

Use Cases

  • Personal expense tracking
  • Monthly budget management
  • Environmental impact monitoring
  • Nutrition tracking
  • Receipt digitization
  • Spending pattern analysis

FAQs

  • How many receipt scans are included in each plan?
    Free plan includes up to 3 receipt scans per month, while Plus plan includes up to 30 scans per month.
  • Is there a limit to the number of products per purchase?
    No, neonFin doesn't limit the number of products that can be added to a single purchase.
  • What advanced analytics are available in the Plus plan?
    Plus plan includes analytics for vegan/vegetarian food share, CO2 production, price changes, and brand shopping patterns.

Related Queries

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neonFin Uptime Monitor

Average Uptime

99.79%

Average Response Time

114.67 ms

Last 30 Days

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