AI-powered decision intelligence for real-time trucking dispatch and resource optimization, lowering the cost of operations - ON-1214

Project type: Innovation
Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences, Operations research
Company: La’ NutraGenAI Inc.
Project Length: 6 months to 1 year
Preferred start date: 12/16/2026
Language requirement: English
Location(s): Brampton, ON, Canada
No. of positions: 3
Desired education level: Undergraduate/Bachelor
Open to applicants registered at an institution outside of Canada: No

About the company: 

La' NutraGen AI Inc. is a Canadian technology company focused on developing artificial intelligence solutions for industrial Operational optimization, health, and wellness. The company combines domain expertise, data science, and machine learning to build intelligent platforms that transform complex data into actionable decisions.
Our flagship initiatives include AI-driven formulation and recommendation systems for nutraceutical, cosmetic, and health-related applications, as well as industry-specific decision intelligence platforms such as KoSh AI for transportation and logistics operations. By integrating diverse data sources and applying advanced analytics, our solutions help organizations improve efficiency, reduce costs, enhance personalization, and accelerate innovation.
La' NutraGen AI is committed to bridging the gap between scientific knowledge and practical business applications. We collaborate with industry partners, researchers, and technology experts to develop scalable AI solutions that address real-world challenges. Our focus is on creating explainable, data-driven systems that continuously learn and improve while delivering measurable value to customers.
Through research, innovation, and commercialization, La' NutraGen AI aims to position Canada at the forefront of next-generation artificial intelligence applications across health, wellness, and operational intelligence sectors.

Describe the project.: 

KoSh AI is an intelligent dispatch decision-support platform designed to improve operational efficiency and profitability for mid-sized trucking fleets. Every day, dispatchers make critical decisions regarding load assignments, routing, driver utilization, and compliance under significant time pressure while navigating fragmented data across transportation management systems (TMS), electronic logging devices (ELD), GPS platforms, fuel systems, and regulatory tools. The lack of real-time decision intelligence often results in increased deadhead miles, underutilized assets, compliance risks, and reduced profitability.
KoSh AI addresses this challenge by creating an AI-powered operational intelligence layer that consolidates data from multiple sources and delivers real-time recommendations at the point of dispatch. The platform evaluates operational, financial, and compliance factors simultaneously to identify optimal load, route, and driver assignments. Over time, the system learns fleet-specific operating patterns and continuously improves its recommendations through machine learning and feedback loops.
Built on over 20 years of industry experience, KoSh AI combines domain expertise with applied artificial intelligence to solve a significant productivity challenge in the trucking sector. The project aims to advance AI-driven decision support for logistics operations while improving fleet profitability, reducing inefficiencies, and strengthening the competitiveness of Canada's transportation industry.

Required expertise/skills: 

Required expertise: Includes Artificial Intelligence, Machine Learning, Data Analytics, and Optimization Algorithms. Proficiency in Python, SQL, data engineering, statistical modeling, and API integration is required. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, and cloud platforms such as AWS, Azure, or Google Cloud is desirable.

The candidate should have experience working with structured and real-time data, predictive analytics, decision-support systems, and dashboard development. Knowledge of optimization techniques, operations research, and algorithm design for routing, scheduling, and statistical tools (PERT/CPM) and resource allocation is highly valuable.

Experience with databases such as PostgreSQL, data visualization tools such as Power BI or Tableau, and software development practices including Git, version control, and agile methodologies is preferred.
Assets include familiarity with transportation and logistics operations, Transportation Management Systems (TMS), Electronic Logging Devices (ELD), GPS telematics, fleet management systems, and compliance regulations.
Experience in Explainable AI (XAI), large language models (LLMs), and enterprise SaaS product development would be beneficial.
Strong analytical thinking, problem-solving, research, and technical communication skills are essential. And a Team collaborator.