Loop

AI for supply chain decision-making, automating operations and predicting disruptions with unified transportation data.

by Loop · Supply Chain Planning

Executive Summary

Loop is an AI-powered logistics data platform designed to unify and standardize disconnected transportation data. It leverages artificial intelligence to model, audit, and automate various supply chain operations, enabling businesses to make more informed decisions and significantly reduce costs. The platform focuses on streamlining financial processes within logistics, including automating accounts payable (AP) and accounts receivable (AR), freight auditing, invoice approval, and payment scheduling. By analyzing a wide array of data, including shipping, weather, and operational information, Loop predicts potential disruptions such as port congestion and supplier problems. This proactive intelligence helps companies mitigate risks and maintain operational continuity. The platform's capabilities extend to spend management, workflow automation, and ensuring financial compliance, leading to substantial savings in transportation expenditures and efficient resolution of exceptions through root-cause analysis. Loop aims to provide a single source of truth for logistics data, empowering teams to automate back-office work, improve margins, and optimize their entire supply chain network.

Use Cases

  • Automating accounts payable (AP) and accounts receivable (AR) decisions for logistics.
  • Auditing freight invoices and streamlining payment processes with high touchless rates.
  • Predicting supply chain disruptions like port congestion and supplier problems.
  • Optimizing transportation spend and reducing overall logistics costs.
  • Unifying and standardizing disconnected transportation data for improved decision-making.

Features

Intelligence

  • AI-Powered Data Unification: Connects, normalizes, and understands disconnected transportation data to create a single, reliable source of truth.
  • Predictive Disruption Analysis: Utilizes AI to predict potential disruptions such as port congestion and supplier problems by analyzing various data sources.
  • Automated Freight Auditing: Employs AI to audit and approve carrier invoices, enabling a high percentage of touchless processing and reducing manual effort.
  • Root-Cause Analysis: Streamlines the resolution of invoice exceptions by automatically identifying and analyzing underlying issues.

Visibility

  • Transportation Spend Command Center: Monitor and manage all aspects of transportation spend from a single, unified interface.
  • Performance Monitoring: Track team, carrier, and network decisions to identify areas for improvement and optimize operational efficiency.

Technical Specifications

Architecture
Loop's backend is a highly modular NestJS monolith with rigorous dependency isolation.
Deployment
SaaS
API Available
Yes

AI/ML Stack

  • Full-stack AI

Pricing

Model
Custom pricing based on agreement
Starting Price
Contact sales
Target Customer
Mid-Market,Enterprise

Ratings & Reviews

Gartner: [object Object]/5

About Loop

Loop is an AI-native logistics data platform that connects, normalizes, and understands transportation data. It helps teams automate operations, make better decisions, and optimize spend by providing detailed data foundations and executing AP/AR decisions.

Founded: 2021 · Headquarters: San Francisco, CA, United States · Employees: 201-500 · Private

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