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Iraq, Erbil

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+380 66 838 2525

info@hanar.ai

ZiGo Smart Mobility Suite (White-Label)

ChatGPT Image Jun 2, 2025, 10_59_48 AM_result

ZiGo Smart Mobility Suite (White-Label)

An end-to-end AI platform that unifies taxi, ride-pooling, furniture & freight moves, and car rentals under one roof. Built by Hanar AI to drop-in with any brand identity, the suite runs cloud-natively or at the edge, delivers real-time decisions, and elevates customer experience.

Module What It Delivers
1. Dynamic Pricing Engine Adjusts fares instantly based on demand, traffic, and local events—raising revenue while cutting wait times.
2. Route & Pooling Optimizer AI groups riders or loads on-the-fly and sends drivers the fastest, congestion-aware routes—saving up to 25 % on fuel and drive time.
3. Smart Load Matching Computer vision estimates furniture or cargo dimensions from photos and pairs each job with the right vehicle and consolidated route.
4. Multichannel Chat Assistant Booking, order tracking, and instant support on web, app, and WhatsApp—available in 20 + languages.
5. Demand Forecast & Fleet Planning Predicts seasonal spikes and recommends vehicle allocation and promos ahead of time.
6. Predictive Maintenance Sensor analytics flag issues before breakdowns, reducing unexpected downtime by 30 %.
7. Fraud & Risk Analytics Detects payment anomalies and risky driving behavior, activating smart insurance rules on the spot.
8. Predictive Operations Dashboard Live KPIs plus two-week revenue and demand forecasts, complete with AI-driven alerts.

Deployment Highlights

  • White-label ready: logo, colors, and domain customized in days.

  • API-first & headless: seamless hooks into Android/iOS apps, ERPs, and payment gateways.

  • Cloud or edge: AWS, Azure, GCP, or on-prem for strict compliance.

  • Built-in MLOps: CI/CD for models, drift monitoring, and automated retraining.

Business Impact: clients achieve up to 35 % higher vehicle utilization, 20 % lower operating costs, and boost CSAT to 4.8/5 within the first three months.

Live project