Abstract: The present disclosure provides a method, non-transitory computer-readable storage medium, and a vehicle tracking system for real-time, dynamic and adaptive an artificial-intelligence based cost negotiation for transportation services. The system trains the artificial-intelligence based system to negotiate with one or more users for transportation services. In addition, the system obtains a first set of data from the one or more users. Further, the system prepares a first cost quotation for one or more transport vehicles. Furthermore, the system sends the first cost quotation to the one or more users. Moreover, the system receives a response from the one or more users for negotiating on cost. Also, the system analyses the response from the one or more users. Also, the system continuously interacts with the one or more users for the cost negotiation. Also, the system sends a final cost quotation to the one or more users.

Abstract: The present disclosure provides a method, non-transitory computer-readable storage medium, and a vehicle tracking system for real-time, dynamic and adaptive an artificial-intelligence based cost negotiation for transportation services. The system trains the artificial-intelligence based system to negotiate with one or more users for transportation services. In addition, the system obtains a first set of data from the one or more users. Further, the system prepares a first cost quotation for one or more transport vehicles. Furthermore, the system sends the first cost quotation to the one or more users. Moreover, the system receives a response from the one or more users for negotiating on cost. Also, the system analyses the response from the one or more users. Also, the system continuously interacts with the one or more users for the cost negotiation. Also, the system sends a final cost quotation to the one or more users.

Abstract: The present disclosure provides a method, non-transitory computer-readable storage medium, and a vehicle tracking system for enabling preventive maintenance and security for vehicles in long haul environment. The vehicle tracking system receives a historical data, a current status data and an administrator specified data. In addition, the vehicle tracking system analyzes the historical data, the current status data and the administrator specified data. Further, the vehicle tracking system determines an optimized route for a plurality of vehicles. Furthermore, the vehicle tracking system sends an alert to an administrator if any of the plurality of vehicles deviates from the optimized route. Moreover, the vehicle tracking system alerts the administrator for a preventive maintenance.

Abstract: The present disclosure provides a method, non-transitory computer-readable storage medium, and a vehicle tracking system for enabling an automated decision on selection of a plurality of transport vehicles for long haul route. The system receives a request for one or more transport vehicles for transportation on the long-haul route. The system fetches a second set of data. In addition, the system analyzes a first set of data and the second set of data. Further, the system determines one or more available vehicles from the plurality of transport vehicles. Furthermore, the system prioritizes the one or more available vehicles from the plurality of transport vehicles. Moreover, the system sends an allocation confirmation to one or more users for at least one selected vehicle from the one or more available vehicles. Also, the system notifies at least one vendor of one or more vendors for the transportation of the plurality of products.