iCapture: Badge Mapping Validation Automation

Overview

The iCapture Badge Mapping Validation Automation feature leverages AI to automate the extraction, parsing, and mapping of badge data from badge APIs directly into client-specific field structures within the iCapture platform. This capability ensures data accuracy, minimizes manual intervention, and accelerates on-site lead capture.

Problem Statement

Manual mapping of badge data from the 125+ badge provider formats to Cvent's standardized or customer-required fields is time-consuming . Using AI, Cvent can reduce validation time, ensure data accuracy, and accelerate the lead capture process for exhibitors.

Feature Description

• AI-Driven Parsing
  Utilizes advanced natural language processing (NLP) and pattern-recognition algorithms to interpret badge API payloads, regardless of provider-specific schema variations.

• Automated Field Mapping
  AI matches incoming badge details (e.g., first name, last name, company, custom fields) with the client’s mapped fields within iCapture, ensuring seamless integration.

• Validation Automation
  Applies rule-based and ML-driven validation to detect and flag anomalies such as misaligned fields, missing mandatory data, or suspicious values before finalizing mapping.

• Continuous Learning
  Incorporates feedback loops to improve parsing and mapping accuracy across future events.

Key Benefits

• Time Savings: Eliminates repetitive manual badge field mapping for each event or badge provider.

• Data Accuracy: Reduces human error and ensures higher-quality data.

• Operational Efficiency: Faster on-site lead capture and a smoother trade show experience.

• Scalability: Effortlessly handles diverse badge data formats at scale.

Competitive Advantage

By embedding AI-driven mapping and validation directly into the iCapture workflow, this feature positions Cvent as a leader in frictionless event tech automation, delivering higher reliability across more badge providers compared to legacy, manual methods or competitor solutions that lack intelligent badge data parsing.