Doppelganger CRM

Imagine a CRM system, inspired by 'The Prestige' and 'I, Robot', where knowing your customer isn't just about their name and purchase history, but about their unique biometric signature. This is Doppelganger CRM. The core idea is to integrate biometric authentication into a standard CRM. Think facial recognition, voice ID, and potentially even behavioral biometrics (typing patterns, mouse movements). The story unfolds as follows:

1. The Problem: Regular CRMs are vulnerable to fraud and lack true personalization. Customers are often treated as numbers, leading to poor experiences and potential security risks.
2. The Concept: Doppelganger CRM offers enhanced security and superior personalization. When a customer interacts with the company (e.g., phone call, website login, in-store visit), their biometric data is used to instantly and accurately verify their identity. This prevents impersonation and unlocks highly tailored services.
3. How it works:
- Biometric Integration: The system integrates with existing biometric authentication services (e.g., AWS Rekognition, Azure Face API, voice authentication platforms). These APIs are relatively low-cost, especially for smaller businesses. Or, the solution implements an open source solution such as openCV for initial functionality.
- CRM Core: The CRM functionality can be built on top of an open-source CRM like SuiteCRM or Odoo, minimizing initial costs. Custom modules are developed to handle the biometric data.
- Data Storage and Security: Biometric data is stored securely and ethically, complying with all relevant privacy regulations (GDPR, CCPA). A key consideration inspired by 'I, Robot' is to only store anonymized and encrypted biometric templates, not raw data, and only use them for verification and personalization purposes.
- Personalized Experiences: Once a customer is identified via biometrics, the CRM immediately pulls up their profile and customizes the interaction. For example, a customer service representative instantly knows the customer's preferences and past interactions, leading to faster resolution and higher satisfaction.
4. Niche and High Earning Potential:
- Niche: Focus on specific industries where identity verification is critical, such as financial services, healthcare, or luxury goods.
- Low-Cost: Leverage open-source CRM platforms and readily available biometric APIs. The core cost lies in the development of the custom modules and security infrastructure.
- High Earning Potential: Charge a premium for the enhanced security and personalization features. Offer subscription-based pricing with tiered plans based on the number of users and features used. Furthermore, the solution can be bundled as a service offering tailored to specific industries, which can increase profitability greatly.