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Jumptuit Transport and Logistics

 Jumptuit Transport and Logistic’s (J2T-TL) mission is to protect people and goods in transit, improve the health and well being of workers, and increase public safety in harmony with the environment. J2T-TL provides AI-powered cross-sector scenario forecasting for any geolocation to optimize scheduling and routing, mitigating delays, property and personal safety risk, public health and safety conditions, and carbon emissions.


J2T-TL continuously calculates the optimal time of departure for each scheduled route for each vehicle in a fleet, minimizing the potential number of incidents, travel time, consecutive driving hours per driver, and carbon emissions. AI-powered scenario forecasting of cross-sector conditions and exposures makes it possible for an organization with a large fleet of vehicles to reduce the number of occurring incidents and ensuant claims with a high level of confidence.


Jumptuit’s Event Genesis Intelligence (EGI) identifies the time and place of future events and generates adaptive scenario forecasting based on continuous analyses of Real-Time-Cross-Spectrum-Data (RTCSD) captured via Jumptuit’s Global Data Nets (GDNs).


By more accurately forecasting and reducing the number of consecutive driving hours per route, J2T-TL enables organizations to meet FMCSA Department of Transportation regulations and improve working conditions for drivers. Continuous optimization of vehicle departure schedules enables large fleet carriers to systematically reduce the actual number of pounds of carbon emissions per route for each vehicle and provide auditable carbon emissions reports.


Origin, route, and destination dynamic geolocation scenario forecasts consider the impact of a combination of factors, including conditions in hazard zones, climate emergencies, potential infrastructure failures, weather advisories, carbon emissions, energy consumption, and regulatory compliance.


Dynamic geolocation scenario forecasts also consider the impact of exposures to assess driver health risk, including the combined effect of viruses (e.g., airborne, contact, and environmental), contamination, and environmental conditions, as well as proximity to emergency healthcare services and resources (e.g., hospitals, ICU bed availability, and urgent care facilities).

“Investing to improve driver working conditions is critical in addressing the challenges across the trucking industry and global supply chain. JTL directly addresses the conditions that result in unpaid idle hours for drivers on the road, and put driver safety at risk.”

Donald Leka
Founder, Chairman and CEO


JTL’s SaaS Platform delivers Commercial Fleet Vehicle Asset and Driver Risk Mitigation, featuring AI-Assisted Cross-Sector Scenario Forecasting. JTL’s technology and services augment and enhance corporate risk mitigation, safety, and ESG initiatives, improving operational efficiency across Fortune 500 companies to manage their vehicle fleets, cargo, drivers and occupants. JTL’s unique Augmented Conditions and Obstacles Avoidance Platform can improve overall safety ratings, reduce expenses at all levels from direct over-the-road costs to internal corporate concerns, improve delivery times, and protect drivers and cargo, leading to overall improved profit margins.

IMPROVE SAFETY - JTL augments hardware safety systems, including collision mitigation technology and lane departure warning systems, by providing optimal departure times and routing based upon  AI-assisted forecasts for conditions and obstacles.  JTL’s testing has shown a significant increase in advanced warning time for drivers, allowing them to opt for alternate departure times and routes to circumvent dangerous or less than optimal conditions, additionally improving travel metrics.

IMPROVE WORKING CONDITIONS - JTL Commercial Fleet Driver Management services can augment the driver and help improve driver working conditions and reduce driver turnover by delivering AI-assisted forecasts for route, health, and safety conditions, individualized for each driver.  JTL directly addresses the conditions that result in unpaid idle hours for drivers and put driver safety at risk. JTL’s cross-sector scenario AI-assisted forecasting helps drivers avoid dangerous or less than optimal driving conditions, including climate events and route obstacles. JTL’s individualized health risk assessments help drivers to avoid potentially unsafe health and environmental conditions. JTL also alerts drivers to unexpected route events that could pose a personal safety risk and delivers proximity to healthcare services and resources.   

REDUCE RISK - JTL’s Commercial Fleet Vehicle Asset and Driver Risk Mitigation featuring AI-Assisted Cross-Sector Scenario Forecasting empowers drivers and fleet lessees with a suite of SaaS products that help reduce risk, including equipment damage, third-party damage and injury claims, cargo accident damage, late shipments, warehouse shutouts, and downtime. By forecasting scenarios such as dangerous or less than optimal driving conditions, including climate events and route obstacles and potentially unsafe health and environmental conditions, JTL provides fleet managers and drivers with clear choices to optimize pickups, routing, and deliveries.

EFFICIENT OPERATIONS; COST SAVINGS - The JTL Platform augments existing information services, reducing expenses on fuel, maintenance, expendables, and consumables, while increasing delivery efficiencies through reduced travel times with effective port and warehouse arrivals.  Immediate efficiencies include wear-and-tear reduction, driver hours and safety, reduced overnight expenditures, reduced down-time for drivers and vehicles and reduced carbon emissions.  Incremental efficiencies include improved profit margins, reduced legal fees, insurance premiums, administrative and accounting costs, and interest expenses.

ESG - JTL augments company fleet and logistics efforts to meet ESG goals by providing unique technology to target unaddressed opportunities within company ESG initiatives. JTL’s individualized cross-sector scenario AI-assisted forecasting for drivers and other employees helps to improve worker safety, health, wellness, and efficiency, enabling companies to make meaningful advances in improving worker conditions.  JTL’s Cross-Sector Scenario Forecasting technology provides fleet managers and drivers with clear optimal choices for timing and routing. JTL testing has consistently resulted in a reduction of energy usage and a corresponding reduction in carbon emissions. JTL’s technology complements existing company ESG initiatives, including EV adoption, driver training to maximize fuel efficiency, and other fleet optimization strategies.


JTL’s testing and analysis of Climate Emergency Alerts (CEA) for minimum 200-mile round trip routes on public roads across a broad pattern of geographies and spectrum of weather phenomenon across temperature extremes, has shown a significant increase in advanced warning time for drivers, allowing them to opt for alternate departure times and routes to circumvent dangerous or less than optimal conditions. JTL reduces the number of variables that could negatively impact a commercial route by as much as 70%. JTL will continue testing in Q4 with added data sets.



JTL is offered in two modules - one to protect commercial fleet vehicle assets, and the other to protect commercial fleet drivers. JTL's technology is designed to quickly and seamlessly augment existing information services.


Module One: Cross-Sector, AI-Assisted, Commercial Fleet Vehicle Asset Management Forecasts


  • Origin, Route, and Destination Forecasts

  • Optimal Departure Times and Routing Forecasts

  • Forecasted Events in Hazardous Accident Zones (HAZ)

  • Climate Emergency Alerts (CEA)

  • Climate Infrastructure Alerts (CIA)

  • Optimal Scenario Weather Advisory and Warning Forecasts

  • Optimal Scenario Carbon Emissions Forecasts

  • Optimal Scenario Energy Consumption Forecasts

  • Regulatory Compliance


Module Two: Cross-Sector, AI-Assisted, Commercial Fleet Driver Management Forecasts Individualized Risk Assessment


  • Geolocation Forecasts for Public Health (e.g., airborne, contact, and environmental, contamination)

  • Individualized Risk Assessment Geolocation Air Quality Forecasts

  • Individualized Risk Assessment Geolocation Covid-19 Forecasts

  • Route Geolocation Proximity to Emergency Healthcare Services and Resources (e.g., hospitals, ICU bed availability, urgent care, and pharmacies)

  • Route Geolocation Safety Alerts (e.g., infrastructure failure, first responder activities)

  • Route Geolocation Charging Stations and Fuel Stop Options and Availability

  • Route Geolocation Driver Rest Stops and Overnight Accommodations Options and Availability

  • Regulatory Compliance

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