B’Tawfiq
How Cplus Soft’s AI Platform Revolutionized Career Development at B’Tawfiq
Industry
EdTech
Region
US
Duration
4–6 Months
Overview
Challenges Faced by B’Tawfiq
Job seekers often struggle to stand out in a saturated job market, sending countless CVs with minimal response. Employers faced stacks of nearly identical applications, making it difficult to identify qualified candidates efficiently. Manual matching and evaluation lacked accuracy, creating delays in recruitment, while professionals received little guidance on bridging skill gaps. This mismatch between candidate readiness and employer needs resulted in wasted time, reduced placement success, and decreased engagement for both users and recruiters.
Additionally, the absence of a structured platform for candidate evaluation prevented recruiters from making data-driven decisions. Candidates lacked tools to objectively measure their skills against job requirements, and the lack of personalized career guidance hindered professional growth. B’Tawfiq needed an intelligent, scalable solution to streamline recruitment, improve skill development, and increase overall placement success in a competitive market.
Solution Provided by Cplus Soft
Cplus Soft developed an AI-powered career development platform that automatically matches candidates to job opportunities based on their skills, experience, and interests. The platform incorporates skill-gap analysis, suggesting personalized upskilling pathways through Coursera courses, and provides in-platform CV generation. Using a MECE CV scoring framework, candidates are objectively evaluated across education, skills, and experience, enabling recruiters to make faster, more informed hiring decisions.
The recruiter portal allows employers to filter, assess, and shortlist candidates efficiently, while AI-driven updates continuously improve scoring logic and recommendations. By integrating machine learning with career analytics, the platform reduces time-to-hire, enhances candidate engagement, and accelerates career development, ensuring a win-win for both job seekers and employers.
Key Features Implemented
Data Collection Methods for B’Tawfiq
To ensure the platform met user needs and delivered measurable outcomes, Cplus Soft employed a comprehensive data collection strategy:
Surveys
Gathered quantitative data on user satisfaction, skill gaps, and career goals
Interviews
Conducted one-on-one sessions to gain qualitative insights into user experiences and challenges.
Focus Groups
Facilitated group discussions to obtain diverse perspectives and feedback on platform features.
Observations
Monitored user interactions with the platform to identify usability issues and areas for improvement.
Document Reviews
Analyzed existing recruitment materials and CVs to inform the development of the MECE scoring framework.
Data Analytics
Utilized analytics tools to track user behavior, engagement metrics, and platform performance.
Feedback Forms
Collected ongoing user feedback to guide iterative enhancements and feature updates.
Case Studies
Examined similar platforms to identify best practices and potential pitfalls in AI-driven career development.
Setting Up Reporting Frameworks for B’Tawfiq
To monitor the platform’s effectiveness and drive continuous improvement, Cplus Soft established a robust reporting framework:
Impacts after Implementation
92% accuracy in ingredient recognition across varied images.
2.5x increase in user engagement compared to traditional recipe apps.
68% of users reported reducing food waste by using the platform.
80% retention rate after the first recipe search.
95% customer satisfaction, citing ease of use and relevant suggestions.
2.3x traffic growth in the Turkish market through SEO-optimised recipe content.