Latest updates, partnerships, and insights from Hyperscale.
Five takeaways from McLeod User Conference 2026 in Nashville: what carriers are actually asking about freight AI, where the near-term automation is, and how to pressure-test a vendor against your own workflows.
A practical explanation of human-in-the-loop AI, including how human review, feedback, and judgment improve automated workflows in high-stakes settings.
A practical guide to the AI command center: the governance and operating layer enterprises can use to manage agents, models, approvals, risk, and performance.
A practical scorecard of 15 fleet management KPIs, including how to calculate them, why they matter, and how operational data can improve results.
A practical guide to using a driver management system to connect driver performance, safety, telematics, maintenance, and day-to-day fleet operations.
AI agents can work across the trucking tech stack by gathering context from connected systems, completing routine steps, and bringing people in for decisions and exceptions.
An automated TMS improves workflows inside the transportation management system. An AI operations layer works across the TMS and the rest of the trucking tech stack to complete cross-system tasks with human oversight.
Compare TMS, FMS, WMS, ERP, and AI logistics management software to see which systems store data, plan work, track freight, and execute workflows.
Fleet optimization connects dispatch, drivers, assets, maintenance, service, and cost data so teams can reduce manual work and improve performance.
Connected fleet management is more than a dashboard. This guide explains how carriers can connect fleet operations, driver data, telematics, maintenance, compliance, and AI workflows into one operational layer.
Chatbots answer questions. AI agents can do work. This guide explains the practical difference for logistics teams running dispatch, driver support, and fleet operations across disconnected tools.
Lessons learned building Vic: why successful AI for trucking starts with driver needs, not technology capabilities.
Telematics integration is not just a data project. When telematics systems do not connect to dispatch, maintenance, safety, and driver workflows, fleets lose speed, visibility, uptime, and operational control.
The next phase of AI for trucking is not another dashboard. It is execution across the systems carriers already run, with humans approving decisions and handling exceptions.
McLeod User Conference 2026 is a good moment for carriers to pressure-test AI vendors. These questions help fleet leaders separate real operational execution from polished demos.
Freight visibility software helps carriers see shipment status, ETAs, disruptions, and service risks. But the real value comes when visibility turns into automated action across dispatch, driver communication, TMS, telematics, and customer updates.
Load entry is still a major bottleneck for many carriers. This guide explains how to automate load intake from email, documents, and load boards without losing control of dispatch workflows.
Check calls still exist because many operations still rely on manual status collection. Here is how to replace them with fewer interruptions for drivers and dispatchers.
Learn how AI dispatch technology helps fleets automate driver communication, reduce manual work, improve response times, and scale dispatch operations.
AI for fleet operations helps carriers automate dispatch, reduce downtime, optimize routes, and improve efficiency using real-time data and AI-powered workflows.
See how carriers can automate order entry from rate confirmations using OCR, validation, APIs, and human review to reduce manual work and improve order processing.
See how automation tools for supply chain management reduce bottlenecks, improve visibility, and help logistics teams move faster with less manual work.
Compare the best fleet automation software for safety and compliance. See how AI and voice tools reduce risk, automate workflows, and improve fleet performance.
Dispatch automation helps fleets reduce manual tasks, improve real-time visibility, and scale operations with AI-powered workflows.
Learn how fleet management systems integration connects telematics, maintenance, routing, and TMS workflows to reduce downtime and improve real-time fleet decisions.
Discover how fleet safety compliance software helps fleets automate compliance, reduce risk, and stay audit-ready with real-time workflows and AI.
Learn how trucking companies can improve driver communication with real-time updates, better workflows, and voice automation that reduces calls and dispatch overload.
Reduce logistics costs with proven strategies. Cut transportation costs, streamline operations, and improve fleet profitability with Voice AI.
Which fleet safety management software is most effective? Learn how real-time automation improves driver safety, reduces downtime, and streamlines fleet operations.
AI-powered order entry software for trucking companies improves dispatch, automates data entry, and boosts visibility.
Learn what proactive fleet operations look like in practice, from preventive maintenance and telematics to driver coaching, fuel optimization, and predictive workflows.
Learn how effective trucking exception management uses automation, real-time visibility, and escalation workflows to handle disruptions without slowing down service.
Explore why logistics companies are adopting voice AI solutions to automate communication, improve response times, and scale customer and ops workflows.
Discover how voice AI platforms help fleet operations automate driver communication, reduce dispatcher workload, and improve real-time efficiency.
PS Logistics announces the successful deployment of VIC (Virtual Information Coordinator), an industry-leading AI logistics coordinator capable of handling complex conversations in real-time. VIC has eliminated hold times at scale with the same informational awareness as other dispatch channels.
FreightWaves named Hyperscale Systems to the 2026 FreightTech 100, recognizing AI fleet operations platforms that are reshaping how trucking carriers run.
From our experience building AI for trucking, construction, and manufacturing: why voice-first beats text interfaces in real-world operations.