TrafficAI

TrafficAI is a smart traffic control system that uses reinforcement learning to improve traffic light timing at different intersections. It also helps logistics by using live data like traffic, weather, current conditions and historical patterns, and road closures to choose the best routes and ensure on-time arrivals.

Prototype: The product is not yet commercially available but has demonstrated promising 11% traffic flow improvement in simulations.

Pilot test: We need access to CCTV cameras and control of four traffic lights at an intersection in Tashkent to start real-world pilot testing.

Client Engagements: While we do not have paying clients yet, we have engaged with 2 logistics companies who have expressed interest in early adoption once the product is fully launched.

Customer: logistics companies, e-commerce businesses, and urban transportation authorities.

Location: urban and metropolitan areas in Uzbekistan experiencing traffic congestion and logistical challenges. (and Central Asia).

Value: efficiency, cost reduction, enhance service delivery.

Market size: $30 billion by 2026, +25% CAGR

Hypothetical Customer Base: 500-1,000 organizations

Market Trends: The market for AI in logistics is on an upward trajectory

Problem statement: Traffic congestion is a significant issue in urban environments, leading to long wait times at intersections, increased fuel consumption, and heightened frustration among drivers. In Tashkent, the growing population and vehicle numbers make worse these challenges, resulting in inefficient traffic flow and delays that impact both daily commuters and logistics operations. Studies show that traffic congestion can increase travel times by up to 30%.

Opportunity: By optimizing traffic light timings and reducing congestion, clients can save on fuel costs and improve delivery efficiency. Logistics companies recognize that efficient route management can lead to better customer satisfaction and retention.

1. TrafficAI analyzes live traffic data to dynamically adjust delivery routes, minimizing delays and improving operational efficiency for logistics companies.

2. Optimize traffic light timing at intersections.

INRIX AI Traffic: Offers lane-by-lane speed details, instantaneous updates on road conditions, and safety alerts for incidents and weather-related hazards.

Google Green Light: optimizes traffic lights to reduce vehicle emissions in cities, helping mitigate climate change and improving urban mobility.

Yandex Maps navigator.

Logistia.

Route4me.

TrafficAI is specifically designed with logistics companies in mind, offering tailored features such as route optimization for delivery fleets, which can be customized to meet the unique needs of e-commerce and other logistics providers.

Revenue Streams: Subscription fees for the TrafficAI platform.

Pricing Strategy: estimated from $500 to $2,000 per month per client.

Sales Expectations: $5 million to $10 million ARR over the next 5 years.

Subscription Plans: Monthly or annual subscriptions based on the number of intersections managed or vehicles tracked, ranging from $500 to $2,000 per month.

Consulting Services: Additional revenue from consulting on implementation and integration with existing logistics and traffic management systems.

Data Analytics Services: Offering insights and analytics reports for optimizing operations, which can be sold as a separate service or included in premium subscription tiers.

Market Expansion: Targeting both local markets in Central Asia and global markets, with expectations of growing demand driven by increasing urbanization and the need for efficient logistics solutions.

1. Technology Development: AI models, user friendly interface, integrate with existing logistics systems and CRMs.
2. Data Acquisition: So far we are using open-source HERE real-time traffic API. We will get traffic data from CCTV cameras as well.
3. Pilot testing: pilot testing in Tashkent intersections and beta test with logistics companies.
4. Marketing: promote Traffic AI to municipalities, logistics companies, and transportation authorities.
5. Operational cost: Hiring skilled professionals in AI, data science, urban planning.

At this stage, we are open to discussing equity shares based on the investment amount and the strategic value that an investor can bring to TrafficAI. While I currently do not have a specific percentage in mind, I am prepared to negotiate terms that reflect the investor's contribution and involvement.

Infrastructure Limitations: The effectiveness of TrafficAI relies heavily on existing infrastructure.

Data Privacy Concerns: The collection and processing of real-time traffic data raise significant privacy issues.

Economic Downturns: Economic crises can lead to reduced budgets for public infrastructure projects and lower investments in technology by logistics companies.

Buildspace
SwiftLaunch

Participants of President Tech Award hackathon.
Won GDSG, TechGenius, Hack4DigitalVillages hackathons with same team.