Loop, the full-stack AI company tackling the supply chain’s systemic data challenge, today launched an expansive suite of capabilities that form the foundation of the Logistics Data Platform (LDP).
Loop’s Logistics Data Platform, the industry’s first AI-native supply chain data system, was purpose-built to tackle the three biggest mandates of modern enterprise logistics teams, featuring brand new capabilities:
- A new data engine, DUX 2.0, provides validated, audited data to accelerate digital transformation
- A new Exception Agent helps create frictionless operations to increase employee efficiency and deliver consistent execution
- New Loop Intelligence with an AI Assistant powers advanced decision intelligence to drive material business value through optimized global logistics networks
With these new capabilities, Loop’s Logistics Data Platform helps enterprises develop solid data foundations that fuel AI automation, improving accuracy, consistency and enhancing employee efficiency. With employees’ time unlocked, platform intelligence provides the insights and analysis to improve capital usage that make data-driven decisions that drive better business outcomes.
The Fundamental Logistics Data Challenge
For decades, the logistics industry has attempted to tame fragmented, unstructured supply chain data with manual, error-prone processes. Critical information regarding spend, cost to serve, and vendor performance remains trapped in emails, physical documents, and disconnected systems. Core teams are left operating in disjointed realities: transportation struggles to optimize costs, finance lacks visibility into true landed costs, and customer care is stuck in reactive mode. Meanwhile, transformation teams struggle to implement successful AI pilots due to incomplete or poor-quality data.
Loop took a disruptive approach to these problems by building an AI-native platform from the ground up. By combining an extensible data foundation with flexible operational policies for governance, Loop delivers powerful intelligence for existing workforces and agentic tools to autonomously augment those teams.
“Automation and AI are only as powerful as the data foundation they operate on,” said Matt McKinney, CEO and Co-Founder of Loop. “With this launch, Loop fundamentally shifts from a platform that helps humans work faster to an autonomous system that executes complex logistics strategies on their behalf. We are delivering the pristine data foundation required to bring agentic AI to the supply chain.”
The Three Pillars of the Logistics Data Platform
The Logistics Data Platform uses advanced AI to deliver three primary outcomes, designed specifically to address the most severe pain points plaguing enterprise shippers today:
- Best-in-class data: Loop’s new data engine, DUX 2.0, is designed to extract and normalize cross-operational, messy data. It introduces a new level of flexibility, expanding to new use cases like customs and tariff document review, purchase order matching for inbound freight visibility, and comprehensive audits of business-specific fields. Meanwhile, built-in AI agents perform extensive checks and autonomous adjustments to deliver high-quality, validated data—creating a single, trustworthy source of truth.
- Frictionless operations: When fueled with trusted data from the Logistics Data Platform, Loop’s AI-powered automation and tailored policies help shippers streamline overall operations. Loop’s new Exception Agent delivers touchless exception management, integrating directly with the audit to initiate disputes with carriers, resolve carrier questions, and ensure you pay the correct amount for every invoice.
- Decision intelligence: The new Loop Intelligence feature turns company data into strategic power, delivering immediate financial clarity, network optimization, and accelerated dispute resolution. An Intelligence AI Assistant integrates directly with this data, allowing users to ask detailed questions and surface key insights using simple natural-language prompts.
Customers across categories are already using Loop’s Logistics Data Platform to turn previously unstructured and incomplete data into measurable savings. A Fortune 100 food company achieved 100% audit coverage and surfaced millions in previously untracked inbound freight costs. A fast-growing beverage company operating in more than 65,000 retail locations recovered 2% of total freight spend and reached ~9x ROI within nine months.
“You can’t drive supply chain automation with fragmented data. What makes Loop’s Logistics Data Platform so effective is that it solves the data problem first,” said the transportation leader at a modern beverage leader. “With that foundation in place, we are able to automate routine tasks, freeing up high-performing employees to focus on strategic priorities that improve margins and increase customer satisfaction.”
Scaling Logistics Without Scaling Headcount
For enterprise shippers navigating today’s challenging economic environment—facing rising carrier costs, compressed margins, and ever-growing supply chain complexity—the imperative is clear: finance and operations teams must do more with the resources they have.
Loop’s Logistics Data Platform is built precisely for this reality, unifying messy logistics data into a trusted foundation with the intelligence required to optimize global logistics networks. Logistics becomes less of a cost center and more of a driver of material business value.
About Loop
Loop is a full-stack, verticalized AI platform for logistics and supply chains. The company helps enterprises turn fragmented operational and financial data into better visibility, tighter cost control, and stronger decision-making across logistics, finance, and supply chain workflows. Founded by Matt McKinney and Shaosu Liu, Loop began in freight audit and payment and has expanded from that foundation into a broader platform for logistics data and enterprise intelligence.
Learn more at https://loop.com/.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260504771246/en/
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