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Company Spotlights

October 2022

Company Spotlight

Tourmo

For this Company Spotlight, we interviewed Tourmo CEO (Marc Brungger) and CMO (Neil Anderson) about how they provide a mobility workflow automation platform designed for enterprise organizations with business-critical mobile operations. The AI-powered Tourmo platform provides contextualized business intelligence and real-time workflow decision-making to support the critical network of people, vehicles, customers and partners these organizations rely on. For more information on Tourmo, please visit tourmo.ai.

Background: & Value Proposition:  Tourmo was founded in 2014 to help the transportation industry not just collect data, but actually learn from the data to optimize operations. Unlike telematics and infinitely disjointed single-point products that provide data that must be manually analyzed and actioned through trial and error, Tourmo uniquely enables self-service, automated artificial intelligence and machine learning insights to generate and communicate actionable workflows in real time by offering the following key differentiators: 

  1. Device Agnostic:  Ability to integrate with all telematics solutions has enabled smooth transitions onto Tourmo’s platform. Many enterprises with large fleets of mobility assets/personnel (vehicles, drones, people, etc.) have already heavily invested in deploying telematics and point solutions, and they want more return on that investment. Furthermore, Tourmo leverages any other data collection devices, including drivers’ existing mobile phones, creating a frictionless experience for managers and drivers. 

  2. Contextual Data Sources:  In addition to the basic motion data points typically collected (i.e., location, speed, fuel level, etc.), Tourmo also integrates additional sources of data for context (e.g., weather, traffic, topography, etc.). This expands customers’ ability to analyze relationships between motion data and other relevant factors. 

  3. Insights & Automation:  Tourmo uses artificial intelligence and machine learning to curate contextualized business intelligence in real-time, providing its customers with the ability to quickly review relevant performance metrics and manage by exception. Tourmo also creates effective, efficient, AI-driven workflows, which has resulted in dramatic improvements in cost reduction, employee experience, and partners satisfaction for its customers.

Case Studies: The following customer success stories highlight select benefits of implementing Tourmo’s AI-driven solution: 

  1. Fuel Usage:  Tourmo pulled in all of a national food service distributor’s data—telematics, gas cards, fuel sensor, and card transactions—and added context data such as environmental factors (temperature, vehicle type, road incline, traffic, and many others). Then, Tourmo used AI to unify and normalize the data and augmented it with satellite imagery, so they could identify and quantify the situation. Tourmo also delivered a mobile phone app, so drivers would get automated fueling alerts, and finally, digitally coached and incentivized drivers with fuel efficiency awards. 

    The customer could now easily see missing purchases and suspicious fuel-level drops. Without the insights from Tourmo’s Fuel Theft Analysis and Contextualized Inefficient Driving Analysis, the customer would not have been able to pinpoint or even think about the other pieces. Tourmo’s approach provided evidence of different types of fraud that their analysis couldn’t, for example, siphoning versus over-filling. Finally, driver engagement changed behavior for positive results in both theft and driving. In the first 30 days, the customer identified $250,000 in fraud. And within 90 days, they had recovered $1.2 million while also improving their carbon footprint.  

  2. Driving Behavior:  Tourmo deployed its Contextualized Safe Driving Analysis capability for a well-known national retailer of auto parts. This allowed the customer to process mobility data from any smartphone, tablet, or telematics device to produce deep insights into driving behaviors and eliminate false positives. The context-aware artificial intelligence considers many factors, such as location and conditions, for a fair and unbiased analysis, which allows managers to manage by exception. 

    The customer was then able to automate driver feedback, coaching, and recognition: they applied Tourmo’s multidimensional scoring approach, which helps companies quantify and communicate driving risk to increase awareness, get driver buy-in, and quickly correct poor driving. Active communication engages the driver and incentivizes good driving behavior. Tourmo also supplemented their 1-800 cases with Scored Trip Analysis for driver remediation. Tourmo provided a mobile phone-based telematics platform (no new hardware) they could embed into their existing mobile platform to build trust and start measuring behavior. This enabled a gamified coaching and rewards program from pure technology adoption.

Closing Thoughts:  Most organizations gain little or no benefit from data in transportation industry, yet the cost of transportation is in everything we consume and has a major impact on all of our lives, which is why technologies like Tourmo’s will be critical in helping companies become not only more cost efficient but also carbon efficient. We look forward to following Tourmo, as it continues to evolve its platform to allow a more frictionless implementation and to have product features that directly demonstrate the ROI to the managers/users across numerous industries.

Stacy Sapio