Loog.ai
Loog.ai provides AI-powered freight automation through WhatsApp, eliminating the need for drivers to install new apps. The platform maps driver preferences and availability at scale, while AI collaborators handle freight hiring, negotiation, shipment tracking, and automated audits. The system has managed over 350,000 freights and processed more than R$500 million in freight payments.
- Logistics & Supply Chain
- AI Agents
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Freight and logistics operations rely on fragmented communication channels, manual coordination, and clunky mobile apps that drivers resist adopting. This creates inefficiencies in route planning, load matching, and shipment tracking, leading to high operational costs and delayed decision-making for shippers, logistics operators, and carriers.
Solution
Loog.ai delivers AI collaborators that operate entirely through WhatsApp, enabling freight automation without requiring drivers to install new applications. The platform maps drivers by identifying preferred routes, vehicle type, body type, and availability—scaling across hundreds or even thousands of drivers simultaneously. Its AI agents handle freight hiring and price negotiation, act as a control tower for real-time shipment oversight, perform automated freight audits, and generate freight cost and demand forecasts for up to 12 months using machine learning. This approach reduces operational costs by up to 70%, increases transaction scale, and improves decision-making for logistics stakeholders.
Target Audience
Primary customers are shippers, logistics operators, and carriers in Brazil who manage freight operations and seek to automate dispatch, negotiation, tracking, and audit workflows through an accessible channel like WhatsApp.
Features
- WhatsApp-native interface that requires zero app installation for drivers, maximizing adoption and engagement
- AI-driven mapping of driver preferences, vehicle types, body types, and real-time availability at scale for 100 to 1,000+ drivers simultaneously
- Automated freight hiring and negotiation agents that reduce manual workload and improve pricing outcomes
- Control tower functionality for end-to-end shipment visibility, automated pickup/delivery confirmations, and exception management
- Machine learning-based freight cost and demand forecasting models extending up to 12 months
- Automated freight audit capabilities covering driver's license validation, drug test verification, proof of delivery, CT-e tax documents, and charged-versus-negotiated value comparisons
- Named AI collaborators including Carlão Carreto (freight desk), Neo (control tower), Alfred (audit), and Sofia (prediction and intelligence)