TRANSPORTATION & FLEET MANAGEMENT
COMMON SERVICE CHALLENGES FOR COMMERCIAL TRANSPORTATION & FLEET MANAGEMENT
Public transportation companies provide environmentally sustainable transit options that link people, jobs, and community via convenient, comfortable and reliable services. Fleet managers, whether public, private, or commercial, face similar challenges in managing their fleets. Their goals include increasing fleet productivity and reliability, ensuring fleet safety and compliance and reducing fuel and maintenance costs. They do this through services that focus on, but are not limited to, vehicle and equipment maintenance, fuel, mileage, speed management, licensing and compliance and driver safety. Access to real-time vehicle data greatly supports and enables these efforts. Connected vehicles and mobility services are arguably one of the most significant innovations to hit the transportation industry since the assembly line. There is a flurry of activity from OEMs and other manufacturers to add new technologies that promise big benefits in this space, such as saving on fuel and mileage, minimizing unplanned downtime, saving on insurance and maintenance, minimizing traffic violations, and increasing the safe operation of vehicles.
Modern Field Service solutions such as Service Cloud, Salesforce Field Service and ServiceMax empower efficient service management for providing customer support, generating work orders, creating entitlements and dispatching. However, other service challenges require connected assets and AIoT solutions to address, such as knowing exactly when to service a vehicle to avoid failures, minimizing service response and on-site service times, enabling transportation Servitization, and improving schedule adherence. Furthermore, connected public transportation systems allow public agencies to better communicate by providing accurate arrival times and other helpful information. This leads to higher passenger usage, which in turn leads to fewer private vehicles on the road. All these benefits result in faster and safer public transit.
These challenges were the catalyst for Connected Field Service. Connected Field Service enables organizations to transform the way they provide service from a costly break-fix model to a proactive and predictive service model by combining IoT diagnostics, asset management and resource management on an integrated service platform
Public transportation companies partner with Spoke AIOT to connect their field-based capital assets to their Service Management solutions to monitor fleet logistics and performance, improve asset reliability, enhance Call Center support, and reduce service costs. Partnerships typically begin with Visioning and Value Determination sessions to identify various ways that IoT and AI can create value and improve service outcomes. As Use Cases are defined, business benefits are estimated based on actual business performance data and industry value metrics. In parallel, an evaluation of asset connectivity options, machine trajectory data, and security risks is conducted to confirm the technical viability of achieving the defined Use Cases. Once technical viability is confirmed and business benefits are defined, Spoke AIOT partners with customers to define deployment plans and implementation cost estimates.
AIoT projects are most successfully delivered in smart phases. Typically progressing from single-asset pilots to full asset family deployments, to regional deployments, to national deployments, and beyond. Governance checkpoints between deployment phases generally require evidence that technical goals have been achieved and business value has been confirmed.
It’s not common that fleet vehicles have multiple onboard sensors or integrated connectivity capabilities that make relevant machine data available for consumption. To enable edge connectivity and solution scalability, Spoke AIOT installs commercial-grade sensors, ruggedized edge hardware, and virtual gateways with standard data models to quickly enable and securely govern data connectivity between the fleet vehicles, the AIoT Cloud, and Service Management solutions. Once the data is flowing, Spoke AIOT’s out-of-the-box service tools quickly enable remote performance monitoring, anomaly detection, predictive analytics, digital twin visualization, and service workflow automation.
Remote performance monitoring ensures fleet vehicle operate as expected. As anomalies are detected, Spoke AIOT immediately notifies the right people to ensure the proper service response is coordinated. As machine data is gathered over time, advanced analytics begin to identify performance trends, predict asset failures, and recommend the best course of action to avoid unplanned downtime. Starting with a single vehicle class, commercial transportation and fleet management companies can rapidly scale Spoke AIOT to multiple vehicle classes across broad geographies.
How Spoke AIoT helped this Customer
Remote Monitoring & Alerts
With access to real-time vehicle GPS data, Spoke AIOT can remotely monitor any fleets’ adherence to schedules, enabling commercial transportation and fleet management companies to understand where major variances to schedule exist and when SLAs with customers have been breached. GPS data is used to identify instances where vehicles speeds exceeding state-posted speed limits, enabling fleet managers to monitor operator behavior. Commercial sensors installed inside public transportation vehicles monitored the cabin temperature, water intrusion and air quality to ensure onboard conditions remained safe for passengers. Similarly, climate-controlled shipping containers can be monitored for environmental stability. Finally, public transportation companies can enable a panic button to alert local authorities when an urgent response to passenger safety was required.
Usage-based Preventative Maintenance
Managing planned maintenance across a large fleet of commercial vehicles with varying utilization and operating conditions presents a major challenge to fleet managers. Spoke AIOT can track vehicle utilization over time and automatically schedules preventative maintenance when utilization thresholds are achieved. Similarly, when interior cabin conditions trigger safety concerns (e.g., carbon monoxide), work orders can be automatically created and assigned to the appropriate technician. Because vehicle schedules can be managed on the same platform as Spoke AIOT, vehicle availability can be automatically updated to reflect planned maintenance; enabling fleet managers to better coordinate resources and forecast service costs..
Service-Level Agreement (SLA) Validation
As public and private transportation contracts are stringently managed for compliance, commercial transportation and fleet management companies needs to provide logs for all routes delivered under such agreements. Using GPS data from the fleet, Spoke AIOT can generate a route report that indicates each vehicle’s position compared to the specified route with timestamps that demonstrate adherence to the contract terms.
Because customers have choices when selecting transportation and shipping services, commercial transportation and fleet management companies need to consider customer experience as much as service delivery. On time routes, monitored conditions, and embedded safety are a few things that influence customers’ decisions. Spoke AIOT can help commercial transportation and fleet management companies monitor fleets to ensure services are delivered as expected
According to the Smart City Use Cases & Technology Adoption Report 2020 report, connected public transport has a 74% implementation rate. Further research finds that 72% of cities have deployed traffic monitoring and other connected, traffic-related services and 68% have adopted connected streetlights. Technology is no longer the barrier to leveraging AIoT. Instead, the challenge is identifying the various ways to create value with AIoT solutions. The degree in which sensors are integrated with public transportation and fleet vehicles determines the availability of performance and condition data for analytic and AI-driven service responses. Even with basic vehicle sensors, fleet managers can monitor vehicle operators’ adherence to specified routes and compliance to posted speed limits, reducing driver risks and associated liabilities. Similarly, shipping containers can be monitored for environmental conditions while in transit. This can generate a condition confirmation report included with the manifest to support the goods receipt and acceptance. Once smart cities and smart vehicles can share data, they can all work together to improve traffic patterns, fuel efficiency and public safety.
Solution Summary & benefits
From improving schedule adherence to vehicle maintenance to passenger safety, AIoT-enabled service can transform how public transportations services are maintained. Talk to an expert at Spoke AIOT to learn more about how connected assets and AIoT-enabled solutions can transform your transportation service.
- Improved asset uptime/reliability
- Immediate notification & geo-location of failures
- Reduced service response time
- Reduced & avoided service costs
- Improved passenger & operator safety
- Improved resource planning
- Validated commercial agreements (SLAs)
The future is AIoT enabled Service
Artificial Intelligence can exponentially increase the value of IoT by using all the data from the asset/install base to accurately predict outcomes and promote a collective intelligence.
Trillion ECONOMIC VALUE WILL BE CREATED BY AIOT ENABLED SERVICES BY 2025
EXECUTIVES CURRENTY USING AIOT ARE EXCEEDING EXPECTATIONS FOR THE VALUE
EXECUTIVES BELIEVE AIOT WILL ENABLE THEM TO ENHANCE PRODUCTS & SERVICES OVER THE NEXT 3 YEARS
MANUFACTURERS’ COMPLEX EQUIPMENT WILL EXECUTE IOT-ENABLED SERVITIZATION STRATEGIE BY 2025
INDUSTRIAL MANUFACTURERS EXPECT TO AIOT FOR PREDICTIVE MAINTENANCE BY 2022