UNLEASH YOUR BUSINESS POTENTIAL WITH GURAIFY
Did you know that the decisions made by your traffic department are costing you money?
In Road Transport, there are dozens, even hundreds of factors to consider to make the right decisions.
Tracking
Despite geolocation, the traffic manager must constantly ask the driver about remaining driving hours, weekly rest times, and the estimated time of arrival. This manual process is inefficient and prone to errors.
Driving Hours
Is it time for the weekly rest?
Can the next daily rest period be reduced? 3 + 9? 11 hours?
When will there be time to compensate for a reduced weekly rest period?
Load Assignment
The traffic manager often relies solely on empty kilometers, but there are many other crucial factors such as the freight rate, carrier fees, commitment priority, etc., etc.
Team Management
Does the driver need to return home over the weekend?
Has the driver requested leave for personal matters?
Is the driver following the plan or managing rest periods at their discretion?
Is their production meeting expectations for everyone?
Restrictions
Who controls the application of the minimum wage in Europe?
Have the traffic restrictions in Europe been verified?
Is the driver authorized to travel?
Internal Synergies
Is it a good price? Hmm... Or is it better to sell the load?
Why look for a vehicle outside when another department has my ideal resource?
TrafficLive Artificial Intelligence is the solution, and Guraify is the partner that will guide you on the path to transformation.
TrafficLive Artificial Intelligence is the solution, and Guraify is the partner that will guide you on the path to transformation.
How does TrafficLive work?
Access to Information
TrafficLive accesses data from the TMS/ERP to obtain information on assigned trips and trips pending assignment. In addition to the fleet management system, we obtain the current GPS position and tachograph data in real-time if available.
Data Enrichment
The algorithm enriches the collected data with its own calculations and integration with professional mapping services, helping to optimally visualize and plan the available resources.
Simulation of Each Trip in Progress
For each trip in progress and every 30 minutes, the algorithm calculates the estimated time of arrival by simulating the driver's driving, considering all the information and business rules.
Optimal Resource Proposal
For each trip pending assignment, once we have the complete picture, the algorithm proposes the optimal resources for each pending trip, based on the goal of obtaining the highest profit for the company.
Confirmation and Final Adjustment
Once TrafficLive proposes the optimal resources for each trip pending assignment, traffic operators have the opportunity to review and confirm these assignments at the end of the day or when it is determined that no more trips will enter. This stage allows for manual adjustments if necessary, ensuring that each assignment maximizes the benefit for the company. All changes made to the assignments are recorded in detail, providing accurate data that management can use to evaluate the performance of the traffic department.
ERP/TMS Update
After confirmation of the assignments by traffic operators, the confirmed details are automatically integrated into the ERP/TMS. This step is crucial to maintain consistency and continuity in the company's administrative and operational flow.
Instructions to the Driver
Finally, information about the confirmed assignments is communicated to the drivers through a mobile application. This application not only informs the drivers about the assigned loads but also provides detailed instructions on how to carry out the driving, including the necessary stops and breaks to comply with the established travel plan. This step ensures that all drivers are fully informed of their responsibilities and can fulfill them efficiently.
Access to Information
TrafficLive accesses data from the TMS/ERP to obtain information on assigned trips and trips pending assignment. In addition to the fleet management system, we obtain the current GPS position and tachograph data in real-time if available.
Data Enrichment
The algorithm enriches the collected data with its own calculations and integration with professional mapping services, helping to optimally visualize and plan the available resources.
Simulation of Each Trip in Progress
For each trip in progress and every 30 minutes, the algorithm calculates the estimated time of arrival by simulating the driver's driving, considering all the information and business rules.
Optimal Resource Proposal
For each trip pending assignment, once we have the complete picture, the algorithm proposes the optimal resources for each pending trip, based on the goal of obtaining the highest profit for the company.
Confirmation and Final Adjustment
Once TrafficLive proposes the optimal resources for each trip pending assignment, traffic operators have the opportunity to review and confirm these assignments at the end of the day or when it is determined that no more trips will enter. This stage allows for manual adjustments if necessary, ensuring that each assignment maximizes the benefit for the company. All changes made to the assignments are recorded in detail, providing accurate data that management can use to evaluate the performance of the traffic department.
ERP/TMS Update
After confirmation of the assignments by traffic operators, the confirmed details are automatically integrated into the ERP/TMS. This step is crucial to maintain consistency and continuity in the company's administrative and operational flow.
Instructions to the Driver
Finally, information about the confirmed assignments is communicated to the drivers through a mobile application. This application not only informs the drivers about the assigned loads but also provides detailed instructions on how to carry out the driving, including the necessary stops and breaks to comply with the established travel plan. This step ensures that all drivers are fully informed of their responsibilities and can fulfill them efficiently.
Surpass your limits and achieve unprecedented logistical performance.
Join the forefront of digital transformation in transportation and logistics with our formula powered by artificial intelligence.
Benefits
Optimization and Operational Efficiency
Reduction of Operational Costs
- Minimization of empty kilometers through more precise load assignments.
- Optimization of vehicle and driver use, reducing unnecessary expenses.
Data-Driven Decision Making
- Use of supercomputing to consider multiple factors simultaneously (commitment priority, carrier costs, freight rates, etc.).
- Elimination of human errors in traffic planning and management.
Time Management Improvement
- Automation of the calculation of remaining driving hours and rest times.
- Reduction of time spent on manual communications with drivers.
Innovation and Competitiveness
Adoption of Advanced Technology
- Implementation of AI-based solutions for route optimization and load assignment.
- Use of advanced analysis and prediction tools to improve strategic decision-making.
Increase in Productivity
- Improvement in the operational efficiency of the fleet, allowing the management of more loads with the same resources.
- Increase in customer satisfaction by consistently and efficiently meeting delivery deadlines.
Competitive Advantage
- Differentiation from the competition by using advanced technologies and innovative management methods.
- Positioning as a leader in digital transformation within the logistics sector.
Compliance and Team Management
Legal and Regulatory Compliance
- Automated verification of traffic restrictions and compliance with European minimum wage regulations.
- Ensuring that drivers are authorized and comply with all regulations.
Improvement in Team Management
- Monitoring driver availability and planning rest periods to avoid penalties.
- Ensuring that drivers follow the designed plan and do not manage their time at their convenience.
Transparency and Communication
- Reduction of the need for manual communications and improvement in the accuracy of information received from drivers.
- Enhancements in coordination between different departments to make the most of internal resources.
At Guraify AI, we have calculated that cost savings for a long-distance full-load vehicle can reach 2,000 euros annually, just by reducing empty kilometers. And this is just the beginning.
Ask Yourself
How much does it cost...
...to ensure your company's rules are followed?
...to retain good drivers?
...to train your traffic team?
...to expand your candidate pool for the traffic department?
...to improve the quality of your service?
...to monitor the impact of your traffic department's decisions?
And finally, how much does it cost to rely on error-prone human decisions instead of trusting the precision and efficiency of an AI-based solution?
Hard to believe... right?
You can ask some of the leading companies in the sector that have implemented TrafficLive's artificial intelligence.
Transform Your Traffic Management with GuraifyAI
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