Palace provides an applied AI dispatch and planning engine specifically for logistics providers and carriers. This platform automatically builds optimal fleet plans around key performance indicators and constraints, integrating seamlessly with existing TMS and ELD systems. The core value is maximizing asset utilization and revenue-per-truck by decreasing empty miles through intelligent load selection and real-time operational adjustments.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Logistics carriers and freight brokers often rely on manual spreadsheets and fragmented tools to assign loads, leading to high empty‑mile rates, sub‑optimal asset utilization, and missed revenue opportunities. Integrating disparate data sources such as TMS, ELDs, and customer contracts further slows dispatch decisions and hampers real‑time responsiveness.
Solution
Palace delivers an AI‑native dispatch and planning engine that ingests load opportunities, fleet constraints, and carrier KPIs to generate a globally optimal schedule for each truck. The platform continuously re‑optimizes the plan as on‑ground conditions change, suggesting the best next action without requiring additional headcount. By unifying load selection, route planning, and real‑time adjustments in a single interface, Palace reduces empty miles, lifts revenue‑per‑truck, and shortens the dispatch cycle. Seamless connectors to existing TMS, ELD, and ERP systems enable rapid deployment without a rip‑and‑replace approach, while a web‑based dashboard provides actionable insights for operations managers.
Target Audience
The primary customers are freight carriers, third‑party logistics providers, and fleet managers who need to optimize dispatch, reduce deadhead mileage, and increase revenue per truck.
Features
- AI‑driven load ranking engine that evaluates spot and contract opportunities against driver, equipment, and customer constraints
- Automatic fleet‑wide planning algorithm that maximizes utilization based on configurable KPIs (e.g., deadhead distance, revenue per mile)
- Real‑time re‑optimization module that proposes the optimal next move when disruptions occur (e.g., delays, equipment failures)
- Bi‑directional integrations with major TMS, ELD, and ERP platforms via RESTful APIs and webhooks, eliminating data silos
- Interactive web dashboard with drag‑and‑drop schedule editing, KPI visualizations, and scenario simulation tools
- Role‑based access control and audit logging to meet compliance standards for carrier operations
- Dedicated support channel with on‑site tuning sessions to align the engine with each fleet’s unique planning workflow