Speed deliveries and scale operations with AI

Transportation automation maximizes fleet capacity by orchestrating AI agents, bots, APIs, and humans-in-the-loop to guide load building across TMS, WMS, and EDI, optimize lane selection, and speed tendering. This turns idle trucks into revenue-generating assets, improves utilization, reduces reliance on costly third-party capacity, and scales operations without adding dispatchers.

Transportation automation handles load building, route assignment, dock scheduling, tender management, ETA updates, and detention alerts. Agentic workflows save dispatcher time spent on load building and routing to speed departures and cut detention time.

Transportation automation prevents service failures by orchestrating AI agents, bots, APIs, and people, to monitor weather, traffic, and route conditions, trigger re-routes when risks emerge, alert drivers to changes, and update customers proactively. This keeps every delivery on track from origin to destination to meet SLAs and protect customer relationships.

Transportation automation accelerates cash flow by coordinating AI agents, bots, APIs, people and systems to capture proof of delivery, match manifests to rate sheets, generate invoices, and assemble evidence packets. This closes billing cycles in days instead of weeks with fewer disputes.

Transportation automation performs DVIR processing, e-logs auditing, drug test tracking, driver onboarding, incident reporting, permit renewals, and hazmat documentation. Orchestrated AI agents automate compliance paperwork to reduce violations and maintain audit readiness while freeing resource time.

Transportation automation supports last-mile delivery through agentic workflows that track orders, manage delivery windows, validate addresses, capture proof of delivery, schedule returns pickup, send proactive notices, and handle claim intake. This delivers visibility to match customer expectations and reduce claims.

Transportation automation provides network planning capabilities including demand forecasting, capacity modeling, schedule optimization, scenario planning, cost baselining, and KPI reporting. AI agents within intelligent workflows help with fast modeling to improve utilization and reliability without manual spreadsheet work.

Transportation automation improves maintenance and asset management by monitoring conditions, scheduling preventive maintenance, managing work orders, planning parts, processing warranty claims, tracking assets, and analyzing utilization. This intelligent automation with AI agents helps prevent roadside events and extend fleet life.