Particel provides AI agents that extract and interpret data from emails, chats, PDFs and spreadsheets, then automatically update ERP or inventory systems for procurement and logistics teams. The solution automates order administration, supplier KPI tracking, and real‑time query answering, cutting manual effort by up to 80% and improving visibility into supplier performance.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations in procurement and logistics spend significant time manually extracting data from emails, PDFs, and other unstructured documents, leading to high labor costs, error‑prone order processing, and delayed visibility into supplier performance.
Solution
Particel offers AI‑driven automation agents that operate within the tools teams already use—email, chat, and spreadsheets—to capture and interpret unstructured data from documents and messages. The agents extract key fields such as prices, quantities, dates, certificates, and delivery notes, then reconcile this information with existing ERP or inventory systems without requiring middleware or new standards. Users simply cc or message the AI agent, which executes order administration, updates supplier relationship management flows, and generates real‑time performance insights in natural language. By automating these tasks, Particel reduces manual effort by up to 80%, improves staff productivity, and provides granular KPI reporting on supplier compliance, cost performance, and inventory health.
Target Audience
Primary customers are procurement and logistics teams in mid‑size to large enterprises that rely on email, chat, and spreadsheet‑based processes for supplier and inventory management.
Features
- OCR and natural‑language processing to extract data from any document format without imposed templates
- Direct integration with email, chat platforms, and spreadsheets; outputs feed existing ERP or inventory systems
- Automated order administration, including price, quantity, and date capture, as well as certificate and POD handling
- Supplier relationship management automation with KPI tracking (OTIF, cost performance, risk metrics) and bulk communication
- Real‑time query engine that answers complex operational questions in natural language across connected data sources
- Plug‑and‑play or custom AI agents that can be deployed in days with no code changes to existing workflows