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B2B2C Flow

Platform for Candidates and HR Users​

This document outlines the B2B2C use case for the BeTalent SaaS platform, which integrates both the Screen and Match modules to serve two distinct user groups:

  • Candidates, who upload, manage, and validate their profiles
  • HR users, who search, evaluate, and perform AI-based semantic matching

Unlike the B2B and B2B2B models, this scenario provides a full platform experience directly controlled by BeTalent, with both modules operating natively within the same SaaS environment:

  • Screen → CV analysis, structuring, and data normalization
  • Match → semantic job–candidate affinity and ranking

The result is a unified recruitment workflow where candidates and HR users interact through a single interface.

Flow Description​

Candidate Flow​

1. Candidate Registration​

The candidate registers on the BeTalent platform and creates a personal profile.

2. CV Upload​

The candidate uploads their CV through the platform’s UI. Supported formats: .pdf, .jpg, .png, .txt, .docx.

3. Screen Module – CV Analysis and Data Structuring​

The BeTalent Screen module analyzes the uploaded CV and extracts structured data, such as:

  • Personal information
  • Photo
  • Job profile
  • Work experience
  • Education (including degree and certifications if applicable)
  • Skills (with estimated experience per skill)
  • Languages

All extracted data is normalized according to the Standardization guidelines.

4. Profile Management​

The candidate can review, validate, and edit the structured information to ensure accuracy and completeness.

5. Optional: Job Suggestions via Match Module​

If enabled, the platform uses the Match module to suggest suitable job roles for the candidate, providing:

  • Affinity score
  • Matching skills
  • Potential improvement areas or semantic gaps

6. Profile Visibility​

Once finalized, the candidate’s profile becomes available to HR users for search, evaluation, and job matching.

HR User Flow​

HR users log into the platform and search for candidates using filters such as:

  • Skills
  • Work experience
  • Education
  • Languages
  • Certifications

2. View Structured Candidate Profiles​

HR users can view fully standardized profiles containing:

  • Job history
  • Skills with contextual experience
  • Education and qualifications
  • Languages
  • Certifications
  • Other normalized attributes

3. AI Matching for Candidate Ranking​

HR users can run the BeTalent Match module to compute candidate–job alignment. The system returns:

  • Semantic affinity score
  • Ranked candidate list
  • Skill–job alignment indicators
  • Strengths and semantic gaps (optional)

4. Candidate Selection​

HR users shortlist candidates directly within the platform to initiate interviews, assessments, or next-stage recruitment procedures.

Benefits of the B2B2C Flow​

User-Centric​

Candidates can manage and enrich their profiles, improving visibility and data accuracy.

Efficient Recruitment​

HR users leverage structured data and AI-based ranking to streamline evaluation and decision-making.

AI-Enhanced Experience​

Screen and Match operate seamlessly to deliver high-quality standardized profiles and precise job–candidate alignment.

Improved Candidate Visibility​

Validated and normalized profiles allow recruiters to discover talent more effectively.

Conclusion​

The B2B2C flow enables a unified recruitment experience in which candidates and HR users interact through a single SaaS platform fully powered by BeTalent. By combining Screen and Match, the platform provides automated CV analysis, structured data visualization, and AI-driven ranking—resulting in a streamlined, consistent, and high-quality talent acquisition process for all stakeholders.