CEO/Procurement + AI
Lighthouz AI
Lighthouz AI provides back-office automation software specifically for freight brokerages. The platform automatically audits carrier bills against TMS data and streamlines customer invoicing workflows. This results in accelerated cash flow, reduced back-office costs, and improved operational scalability for logistics teams.
- Artificial Intelligence
- Enterprise Software
- Software Only
Updated 11 months ago
Funding
Raised to date
$500KRaised 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.
across 1 round
+1$500K · Seed
Announced Sep 2024
Disclosed cumulative: $500K
RoundDateAmountValuationInvestors
Founders
Product
Problem
Procurement teams spend significant time on manual data entry, purchase order creation, and invoice verification, leading to inefficiencies and increased operational costs. Errors in invoices and missed cost-saving opportunities further erode profitability.
Solution
Lighthouz AI offers Pam, an AI-powered procurement assistant that automates repetitive tasks across ERP systems like SAP and Netsuite. Pam extracts data from quotes, invoices, order acknowledgements, and emails, then automatically enters it into the ERP system. The system intelligently compares quotes, creates purchase orders, and audits invoices in real-time to identify discrepancies and prevent overbilling. Pam also autonomously communicates with suppliers, understanding their requests and updates, and alerts users only when necessary.
Target Audience
The primary target audience includes procurement teams and finance departments within organizations using ERP systems who seek to automate manual tasks, reduce operational costs, and improve efficiency.
Features
- Intelligent data extraction from various document types (quotes, invoices, emails)
- Automated data entry into ERP systems (SAP, Netsuite, etc.)
- Automatic purchase order creation based on quote comparisons
- Real-time invoice auditing to identify errors and prevent overbilling
- Autonomous supplier communication and management
- Identification of cost-saving opportunities from procurement data