Pallet offers an AI‑driven platform that automates end‑to‑end logistics workflows—such as quoting, order entry, load building, and invoicing—by integrating with existing TMS, WMS, ERP, and other legacy or cloud systems. Its Enterprise Memory layer captures SOPs and operational data to continuously learn from top operators, while built‑in guardrails and human‑in‑the‑loop escalation maintain accuracy above 97% and ensure compliance for logistics enterprises.
Funding
$3.9M 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.
1O+1Founders
Product
Problem
Supply chain operations often rely on disparate systems, manual SOP documentation, and human-intensive data entry, leading to errors, delays, and high operational costs. Coordinating tasks such as quoting, order entry, load building, and invoice auditing across legacy, on‑premise, and cloud applications is time‑consuming and difficult to scale.
Solution
Pallet provides an AI‑driven platform that automates end‑to‑end logistics workflows, from quote to cash, by integrating with existing TMS, WMS, ERP, email, voice, and other interfaces. The system creates a centralized “Enterprise Memory” that ingests SOPs, event logs, and past human interventions, continuously learning to replicate the decisions of top operators. Built‑in guardrails validate AI outputs and trigger human‑in‑the‑loop escalation when needed, maintaining accuracy above 97% while preserving data ownership. Users can rapidly assemble custom agents with Pallet Forge, test them through thousands of simulations, and deploy live within six weeks, delivering measurable ROI in the first 90 days. The platform also offers audit logging, role‑based permissions, and SOC 2 Type 2 compliance for enterprise security.
Target Audience
Primary customers are logistics enterprises—including asset‑based carriers, 3PLs, freight forwarders, warehouses, manufacturers, distributors, and retailers—that need to automate and scale complex supply‑chain workflows.
Features
- Agent factory (Pallet Forge) for rapid creation, testing, and deployment of purpose‑built AI agents
- Enterprise Memory layer that indexes SOPs, emails, system logs, and manual interventions to provide contextual knowledge to agents
- Pre‑built connectors (Fabric) for TMS, WMS, ERP, on‑premise AS400 databases, and any API‑enabled system
- Guardrails and human‑in‑the‑loop escalation to ensure 97%+ accuracy and compliance
- Simulation engine that runs thousands of scenario tests before production rollout
- Permissions, governance, audit logging, and 99.9% uptime infrastructure
- SOC 2 Type 2 compliance with data never shared or used to train external models