At LumenPath Trading and Services, we are launching an ambitious project to develop a chauffeur service application in Qatar. This app will allow car owners to book verified professional drivers to drive their own cars — whether for daily commutes, business meetings, or safe rides after events.
We’re sharing our vision, requirements, and collaboration opportunities with development companies that want to be part of this journey.
Why a Chauffeur Service App in Qatar?
Owning a car offers freedom, but not everyone always wants — or is able — to drive. Whether it’s an executive heading to a meeting, a family returning from an evening out, or anyone who simply prefers not to drive, there is a strong demand for on-demand chauffeur services.
Our app solves this by connecting car owners to nearby, verified drivers who can come to their location, take over their vehicle, and ensure a safe, seamless journey.
Key Features
Customer App (iOS & Android)
Instant or scheduled bookings. Pickup and drop-off via map. Digital vehicle handover with photos and condition log. Real-time GPS tracking and driver ETA. In-app chat/call with drivers. Secure payments and receipts. SOS emergency button and trip sharing.
Driver App
KYC onboarding (ID, license, background checks). Availability toggle. Accept or decline ride requests. Digital handover workflow with photos. Earnings dashboard with payout options. Safety features and incident reporting.
Admin Panel
Live operations dashboard. Driver verification and management. Pricing and surge control. Payment reconciliation and corporate invoicing. Analytics, reports, and manual dispatch tools.
Safety & Compliance
Safety is central to our platform:
Verified drivers through KYC and background checks. Digital handover protocols to record car condition before and after each trip. Non-owned auto liability insurance for protection. Emergency features (SOS, trip sharing). Compliance with Qatar PDPL and international GDPR standards.
Technical Requirements
The application will be designed to:
Support 100,000+ concurrent users. Maintain 99.9% uptime through cloud hosting. Ensure sub-2 second response times for bookings. Encrypt all sensitive data (AES-256, TLS 1.2+). Provide English and Arabic interfaces for accessibility.
Collaboration Opportunity
This is a from-scratch development project, and LumenPath is seeking collaboration with experienced app development companies that have proven expertise in:
Mobile app development (iOS & Android). Secure payment system integration. Real-time GPS tracking solutions. Compliance with transport and data protection regulations.
📞 Phone: +974 55170700
📧 Email: info@lumen-path.com
About LumenPath
LumenPath Trading and Services is a Qatar-based company specializing in digital transformation, AI-driven applications, and smart mobility solutions. Our mission is to create innovative, reliable platforms that improve lives and businesses across Qatar and the GCC.
1) Customer App (iOS / Android)
1.1 Accounts & Profile
Sign up / login via OTP (SMS/email); optional social login. Profile: name, photo, preferred language (EN/AR), emergency contact. Payment methods: add/remove cards, Apple Pay / Google Pay; set default. Manage addresses: home, work, recent & saved places.
1.2 Booking & Scheduling
Book Now (ASAP) or Schedule Later (date/time). Pickup from GPS or map pin; destination via search; (Phase 2) multi-stop. Service modes: One-way, Hourly (2–8h), Return trip. Fare preview (estimate) with taxes/fees and promo code entry. Special notes (gate code, valet, parking instructions).
1.3 Matching & Live Trip
Auto-assign nearest qualified driver; fallback to re-offer ladder. Driver card preview: name, photo, rating, years of experience. Live map tracking with ETA countdown and status timeline. In-app chat and masked calling. Vehicle handover flow at pickup: Guided photos (front/back/sides), odometer, fuel level. Time-stamped checklist & digital waiver consent. Trip timeline: Arriving → Handover Complete → In Progress → Nearing Drop-off → Completed → Handover Complete.
1.4 Payments & Receipts
Pre-authorization on accept; auto-capture on complete. Tips (percent/custom), promo codes, refunds/cancellations. Receipt with trip route snippet, time/distance/hourly breakdown (PDF/email).
1.5 Safety & Support
SOS button: call local emergency + share live trip with trusted contact(s). Trip-share link (SMS/WhatsApp) with live location and driver details. Report an issue (damage, delay, behavior, payment), with photo upload. Lost & found request flow.
1.6 History & Documents
Upcoming & past trips; filter/search. Download handover photos and condition logs. Invoices for business reimbursement.
1.7 Notifications
Push/SMS/email for key events: match, driver arriving, start/stop, receipts, refunds. Reminder for scheduled rides (T-24h / T-2h / T-15m).
2) Driver App (iOS / Android)
2.1 Onboarding & Compliance
Registration with KYC: ID, license, selfie liveness. Background check status and document vault (license, work permit, insurance) with expiry reminders. Training acknowledgements (code of conduct, safety).
2.2 Availability & Dispatch
Online/offline availability toggle; city/zone restrictions. Job offers with countdown timer; Accept / Decline; auto-expire -> next driver. (Phase 2) Demand heatmap and earnings hints.
2.3 Trip Workflow
Navigate to pickup; arrival confirmation. Contact customer via masked call/chat. Handover at pickup & drop-off: guided photos, odometer, fuel level; condition notes. Statuses: Arrived → Handover Complete → Start Trip → Pause (fuel/parking) → Resume → End Trip → Handover Complete. Expense capture (parking/tolls/fuel) with photo proof for admin approval.
2.4 Earnings & Wallet
Per-trip breakdown (base, time/distance/hourly, surge, tips, approved expenses). Wallet balance; payout requests to bank; payout history. Performance metrics: acceptance rate, cancellations, on-time %, rating.
2.5 Safety & Compliance
SOS (ops + emergency); incident report with photos. Fatigue control: shift hour limits & mandatory breaks (configurable). Auto-lock when required documents expire.
3) Admin Web Console
3.1 Operations Dashboard
Live map of active trips; online/idle drivers; scheduled queue. KPIs: New orders, completion rate, on-time %, disputes.
3.2 User & Driver Management
Customer profiles; notes; blocklist. Driver pipeline: applications → KYC → background check → approval; suspend/restore. Document expiries & bulk reminders.
3.3 Dispatch & Trip Control
Manual assign/reassign; override matching for VIP/corporate. Trip timeline viewer; intervene (pause/cancel/comp) with reason codes. Incident center: tickets, evidence, resolution & SLA tracking.
3.4 Pricing, Products & Promotions
Zones/geo-fences; base + time/distance/hourly pricing; min fare; wait time fees. Surge rules (time/zone-based), coupons/promo codes, referrals (Phase 2). Corporate plans: cost centers, monthly credit limits, consolidated invoices (Phase 2).
3.5 Finance & Reconciliation
Gateway settlements; payouts to drivers; refunds & chargebacks. Approve driver expenses; tax/VAT configuration; downloadable statements.
3.6 Communications & Content
Push/SMS/email templates; announcement banners; FAQs & policy pages (EN/AR).
3.7 Analytics & Reports
Demand heatmaps; conversion funnel; retention cohorts. Driver quality leaderboard; violations & flags. SLA reports: response times, cancellations (driver/customer), incident MTTR.
3.8 Configuration
Handover checklist builder (required photos/steps). SOS escalation contacts; incident categories & workflows. Compliance toggles (required docs, minimum app version).
4) Platform Services (Backend)
4.1 Identity & Access
OTP auth; JWT/OAuth tokens; role-based access (customer/driver/admin). Device binding; admin 2FA; session revocation.
4.2 Geo, Matching & Scheduling
Real-time driver location streaming (WebSockets). Matching score: distance/ETA, acceptance rate, rating, cancellations, recency. Re-offer ladder with timeouts; scheduled rides pre-dispatch window.
4.3 Trip Engine
Finite state machine: Requested → Assigned → Arrived → In-Progress → Completed → Closed. Distance/time calculation (routing service); detours & stops. Media storage for handover photos; integrity & retention policies.
4.4 Payments
Tokenization; pre-auth; capture; tip adjust; partial/full refunds; idempotent webhooks. PCI-aware handling (no raw PAN storage).
4.5 Notifications
Push/SMS/email with templates, localization (EN/AR), rate limiting, DND windows.
4.6 Compliance, Privacy & Audit
PDPL/GDPR features: data access/export/delete; purpose limitation; PII minimization. Audit trail for KYC decisions, admin actions, pricing changes, payouts.
4.7 Observability & Reliability
Centralized logging/metrics/tracing; on-call alerts. Health checks; graceful degradation; circuit breakers; retries with backoff.
5) Trust, Safety & Legal
Mandatory KYC and background checks for drivers. Digital waiver for non-owned auto liability (per trip or per policy). Insurance artifacts upload & validation; expiry tracking. Incident workflows (accident, damage, behavior, lost item) with evidence capture. Content moderation of chat (abuse filter) and names/photos.
6) Configurable Policies (examples)
Cancellation windows & fees (e.g., free <2 min; fee after “driver en-route”). No-show rules; late pickup grace; wait-time charges. Hourly billing granularity (e.g., 15-min rounding). Expense pass-through: parking/tolls/fuel (at cost or with service fee). Driver performance thresholds and progressive discipline.
7) Acceptance Criteria (samples)
Match Time: Request → Assigned ≤ 60s (p50) in core zones; ≤ 150s (p90). Tracking Accuracy: Driver location error ≤ 25m (p90) while moving. Handover Evidence: Min 4 photos at pickup & drop-off before state transition. Payment Success: First-attempt capture ≥ 97% (cards on file). Reliability: Crash-free sessions ≥ 99.5% (30-day rolling).
8) MVP vs Phase 2
MVP: Booking (now/later), matching, handover photos, live tracking, payments, receipts, KYC, basic admin ops, SOS, EN/AR.
Phase 2: Multi-stop, corporate billing, heatmaps & surge automation, referrals/loyalty, advanced analytics.
AI-Powered Driver Matching & Discovery Solution
One of the most critical success factors for a chauffeur service platform is how quickly and accurately customers are matched with the right professional driver. Traditional ride-hailing apps use simple “nearest driver” logic, but that alone does not guarantee quality, safety, or reliability.
By integrating AI-driven solutions, LumenPath can create a smarter, trust-focused marketplace for chauffeur services.
1. Smart Driver Matching Engine
Instead of only using GPS distance, AI algorithms can factor in multiple dimensions:
Driver quality score: based on acceptance rate, punctuality, customer ratings, completed trips. Contextual availability: whether a driver’s past trips align with the requested trip type (hourly, corporate, late-night, etc.). Demand forecasting: predicting spikes in requests (airport areas, event venues, weekends) and pre-positioning drivers nearby. Travel time optimization: AI can predict not just distance, but real-time travel time considering traffic and road patterns.
📌 Example: A customer requests a driver at 6 pm in Doha’s West Bay. Instead of assigning the closest driver stuck in traffic, AI selects another driver slightly farther away but with a faster predicted ETA and a higher reliability score.
2. AI-Based Driver Verification
Identity checks: AI-powered facial recognition can match driver selfies to their ID/license. Document verification: AI OCR (optical character recognition) can scan and validate licenses, IDs, and insurance documents in seconds. Background anomaly detection: AI models can flag inconsistencies in driver applications for manual review (e.g., duplicate IDs, mismatched personal details).
This ensures only trustworthy, professional drivers are onboarded.
3. Dynamic Pricing & Incentives
AI can dynamically adjust:
Pricing: Surge or discounts based on demand/supply in specific zones. Incentives: Personalized driver bonuses to ensure enough professionals are available during peak hours. Corporate packages: AI can analyze company ride history and suggest optimized billing plans.
4. Natural Language & Voice AI
To make booking even easier:
Voice booking assistant inside the app (Arabic + English). Chatbot for support: AI-powered chatbot can answer FAQs, handle cancellations, and escalate to live support when needed. Smart driver routing assistant: AI assistant for drivers (voice-guided safety reminders, optimized parking suggestions).
5. Fraud & Risk Detection
AI models can identify suspicious behavior:
Drivers who consistently cancel after acceptance. Customers who frequently dispute trips or abuse promo codes. GPS spoofing attempts or unusual ride patterns.
These triggers can automatically flag accounts for review or adjust trust scores.
6. Predictive Supply Management
AI forecasts future demand by analyzing:
Historical booking data. Public event calendars (concerts, football matches). Weather patterns (higher bookings during hot summers or rainy days).
This helps pre-alert drivers in high-demand areas, reducing customer wait times.
7. Benefits of AI Integration
Faster matching → Customers get a driver in seconds. Higher reliability → Assignments go to drivers with proven performance. Enhanced trust & safety → AI-verified identities and documents. Better driver earnings → Smarter incentives during peak demand. Scalability → As the platform grows, AI handles complexity without manual intervention.
8. AI Technology Stack (Proposal)
Recommendation Engine: TensorFlow / PyTorch models for matching & demand prediction. Document Verification: Onfido / Sumsub APIs + custom OCR pipeline. Conversational AI: Google Dialogflow or Rasa for chatbot/voice assistant. Fraud Detection: ML anomaly detection models (e.g., isolation forest, gradient boosting). Data Infrastructure: AWS SageMaker, GCP Vertex AI, or Azure ML for model training/deployment.