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Client engagement · 2021–22

Client-Customized ID-Verification Web App for an Auto-Dealer Channel

An automotive-dealer fraud-prevention tool

Overview

A customized deployment of the fraud-prevention ID-capture web app, tailored for an automotive-dealer innovation channel. It reuses the document-authentication and face-match capture flow while adapting routing, analytics and configuration for the specific rollout.

Why It Exists

The core ID-verification web app needed a channel-specific variant for an auto-dealer program, same underlying capture-and-authenticate capability, but with its own configurable routes, analytics and branding hooks for that customer’s workflow.

What We Built

A React + Redux application derived from the shared ID-capture base, retaining the camera capture, sharpness/glare image-quality gating, processing and result screens, and the services/api integration to a commercial document-authentication and facial-recognition-match platform (over axios with axios-retry). This variant adds a routes.json for configurable navigation, a prepackager.js build step and envfile handling for environment configuration, and react-ga for Google Analytics tracking. State management uses redux, redux-thunk, redux-persist and connected-react-router, with react-device-detect enforcing the mobile experience.

Technologies & Approach

By branching from the proven capture-and-verify React/Redux app, the team delivered a client-specific build quickly, investing effort in configuration (routes, env, packaging) and analytics rather than rebuilding the verification flow. The same third-party identity-authentication SDK underpins document and face-match checks.

Outcome / Impact

Delivered a tailored, analytics-instrumented ID-verification web app for an automotive-dealer channel, demonstrating the base product’s reusability across customer-specific deployments.

Capabilities Demonstrated

  • White-labeling/customizing a verification product per client channel
  • Configurable routing and environment-driven builds
  • Integration with commercial document-authentication & face-match APIs
  • Analytics instrumentation (Google Analytics) of a capture funnel
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