Tire Advise clients on new and existing technology solutions as well as exploring a comprehensive list of digital transformation initiatives currently on the minds of many C-level executives as they consider the future for transportation and its impact on their business objectives (see Use Case on the Transportation Digital Transformation)

Additional trends and innovations we cover:

    • Artificial Intelligence (AI)
    • Autonomous (driverless) Vehicles (AV)
    • Machine learning and predictive analytics¬†
    • Internet of Things (IoT)
    • Blockchain¬†
Tire Fleet Management Systems (FMS) – efficiently manage assets by increasing utilization as well as improving service levels. These systems minimize reduce the risk associated with investment in vehicles or equipment and offer improved visibility, tracking, inventory control and asset reallocation
Tire Transportation Management Systems (TMS) – provide cross-functional transparency, technology infrastructure with greater automation and client access to carrier capacity, freight tendering, shipment tracking and key performance indicators with varying levels of customization (see separate page on TMS)
Tire Network Design, Planning and Optimization tools are used to evaluate a logistics network by diagnosing system-wide supply chain requirements from a total-cost perspective, capturing consolidation effects and network efficiency wherever possible
Tire Cargo Security and Risk Management allows the user to model the impact of supply chain risk across the transportation network by assessing individual routes and sourcing locations as well as appropriate carriers and partners. Once the risk profile has been determined, proper mitigation strategies are developed and continually evaluated.
Tire Freight Audit and Cash Management for consistent and accurate processing and reconciliation of freight invoices with automated and scalable solutions providing visibility and timely reporting while managing exceptions
Tire Customer ERP to manage supply chain performance across the enterprise while harnessing “big data” from all relevant supply chain partners within network