Real Time Vehicle Tracking for Logistics Industry

Business Challenges

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Fleet management: Keeping track of a large number of vehicles and ensuring they are properly maintained and serviced can be difficult and time-consuming.

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Cost control: Managing the costs associated with operating a fleet of vehicles, such as fuel and maintenance expenses, can be difficult and may require close monitoring and budgeting.

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Driver management: Finding and retaining qualified and safe drivers can be a challenge, as well as managing and monitoring their compliance with federal regulations.

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Vehicle tracking and telematics: Keeping track of where vehicles are and how they are being used in real-time can be challenging, especially if the logistics company has a large fleet.

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Safety and compliance: Ensuring that all vehicles and drivers comply with federal regulations and industry standards for safety can be challenging and may require regular inspections and audits.

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Route optimization: Finding the most efficient routes for vehicles to take to make deliveries can be challenging, especially in areas with heavy traffic or limited road access.

Solution Approach

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Construction industries and fleet owners are increasingly using AI and IoT systems to monitor vehicles, as they can access all necessary information on a single screen.

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Real-time monitoring, fuel management, driver safety and time management are key factors that many industries are looking for in vehicle tracking systems, which can improve productivity and efficiency.

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The innovative fleet tracking platform allows for the discovery of patterns in vehicle movements and the amount of time each vehicle spends at different locations.

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The application runs on a cloud environment and users have access to the logged information via a web app.

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Insights gained by logging vehicle activity can reveal variations, fluctuations and trends in vehicle movements over time, which can be represented graphically or in tabular form.

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Vision analytics can be used to improve productivity by categorizing vehicle usage based on type and identifying anomalies in patterns.

Business Impact

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Improved efficiency: Vision analytics can help identify patterns in vehicle movements, such as frequently visited locations or common routes, which can lead to more efficient routes and better use of resources.

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Increased productivity: By monitoring driver behavior and identifying areas where improvements can be made, vision analytics can help increase productivity and reduce costs.

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Better fleet management: Vision analytics can provide detailed information about the usage and condition of vehicles, which can help logistics companies make better decisions about fleet maintenance and replacement.

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Reduced fuel consumption: By identifying and addressing inefficient driving habits, vision analytics can help reduce fuel consumption and lower costs.

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Improved safety: Vision analytics can be used to monitor driver behavior and alert managers to potential safety issues, such as speeding or reckless driving.

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Data-driven insights: Vision analytics can help companies gain insights into their operations and identify areas for improvement. This can help in making strategic decisions, forecasting, and predicting future demand.

Technology Stack

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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5 yrs

in AI & ML
Engineering

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40+

AI & ML
Projects for
reputed Clients

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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