Verified remote logistics talent pool from Sudan and Africa
Recruiters waste hours sifting through irrelevant candidates like construction project managers when searching for remote logistics talent in Sudan on platforms like Himalayas.
AfriLogiPool maintains a continuously updated directory of pre-verified logistics specialists who have completed practical assessments on supply chain software, customs processes, and remote collaboration. Recruiters browse or get matched to candidates with verified badges, availability calendars, and direct contact. Candidates use a simple mobile interface to maintain profiles and complete verifications.
Recruiters and operations leaders at logistics firms hiring remote specialists in Sudan and similar African markets
Triple-verification system (AI document check + practical skills test + peer reference) focused exclusively on real-world African logistics challenges like cross-border trucking and last-mile delivery.
supportive
Flutter app with logistics scenario quizzes, document upload and video responses
Advanced filters for skills, availability, language, internet reliability score
Daily email and in-app notifications when new jobs match candidate profiles
Admin + AI dashboard to review submissions and award skill badges
Secure direct messaging between recruiters and candidates
Candidates mark availability; recruiters can request interviews directly
Recruiters see view counts and interest metrics on candidates
Automated requests and collection of past employer references
Built-in calendar with automated reminders
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| role | text | No |
| full_name | text | Yes |
| phone | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| location | text | No |
| years_experience | int | No |
| availability_status | text | No |
| verified | bool | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| assessment_type | text | No |
| score | int | Yes |
| status | text | No |
| completed_at | timestamp | Yes |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| profile_id | uuid | No |
| badge_name | text | No |
| issued_at | timestamp | No |
/api/profiles/searchAdvanced search for verified candidates
/api/assessments/submitSubmit mobile assessment results and documents
/api/matchesGet AI-recommended candidates for recruiter
/api/messagesSend message to candidate
3 contact requests per month
None
Custom
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 85 | 12% | $255 | $3,060 |
| Month 6 | 680 | 18% | $3,060 | $36,720 |
Stop guessing. Hire candidates who have already passed practical logistics assessments designed for African markets.
Partner with 3 Sudanese logistics Facebook groups and WhatsApp communities offering free verification and profile promotion to first 50 candidates. Offer free 3-month Pro access to 15 East African logistics companies via warm intros from African diaspora networks on LinkedIn. Launch candidate acquisition campaign using targeted Facebook ads in Sudan, South Sudan and Kenya.
Large volume of remote candidates
No verification or skills testing specific to logistics
Practical assessments and triple verification designed for African logistics realities
Strong vetting process
Focused on software engineers, not logistics or operations roles
Niche focus on logistics and operations roles across Sudan and East Africa
Growing proprietary assessment library and verification data that becomes more accurate as more candidates and employers use the platform (network effects + data moat).
Mobile internet penetration in Sudan has crossed 35% in 2024 while global supply chain disruptions have increased demand for regional logistics expertise.
Difficulty attracting high-quality candidates in Sudan
Heavy focus on candidate acquisition via local communities, offering free skill development content and certification value.
Solo founder cannot manually verify candidates at scale
Build strong AI + peer review system from day one with human review only for edge cases.
Success: 70% of recruiters say they would pay for verified pool access
Success: At least 25 candidates complete full verification and 8 hires made through platform
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