Provides an AI-powered assistant for direct procurement teams to automate purchase order (PO) management tasks, including sending POs, follow-ups, order confirmations, and data entry. By integrating with ERP systems like NetSuite, it reduces manual workload, minimizes errors, and centralizes PO data, enabling faster execution and improved operational efficiency.
Funding
$6.5M 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.


Founders
Product
Problem
Direct procurement teams spend significant time on manual purchase order (PO) management tasks, including sending POs, following up with suppliers, confirming orders, and entering data into ERP systems. This manual workload leads to errors, delays, and inefficiencies in the procurement process. Existing systems often lack real-time visibility into PO status, requiring buyers to sift through emails, spreadsheets, and complex ERP reports to get basic information.
Solution
Emi is an AI-powered assistant designed to automate PO management for direct procurement teams. It integrates with ERP systems like NetSuite to streamline tasks such as sending POs, managing follow-ups, confirming orders, and expediting deliveries. Emi provides a unified view of PO data, eliminating the need for manual data entry and reducing errors. By automating these processes, Emi frees up buyers to focus on strategic initiatives, improves operational efficiency, and increases profitability. The system also offers a natural language interface, allowing stakeholders to ask questions about POs via Teams or Slack.
Target Audience
The primary target audience is direct procurement teams within organizations that use ERP systems like NetSuite to manage their supply chain.
Features
- Automated PO sending, follow-up, and confirmation processes
- Integration with ERP systems like NetSuite for seamless data flow
- Real-time status updates for open POs with suggested action items
- Natural language interface for answering PO-related questions via Teams or Slack
- Centralized PO data management, eliminating the need for spreadsheets and email threads
- Three-way matching to ensure accuracy and prevent discrepancies
- Automated change management for PO revisions
- Scalable architecture to support growing operations without increasing manual workload