Userck System Seeks PoC Partners for Knowfa Order AI Agent among BPO Firms
Userck System has launched a search for joint PoC partners among BPO companies to utilize its Knowfa Order AI Agent. The PoC aims to verify operational improvements and profitability by digitizing fax and PDF orders.
📋 Article Processing Timeline
- 📰 Published: June 4, 2026 at 19:30
- 🔍 Collected: June 4, 2026 at 10:51
- 🤖 AI Analyzed: June 6, 2026 at 23:28 (60h 37m after Collected)
Userck System Co., Ltd. is recruiting joint Proof of Concept (PoC) partners among Business Process Outsourcing (BPO) companies for its Knowfa Order AI Agent. This PoC targets order entry tasks for fax, PDF, and email attachment orders. The AI will handle order reading, customer identification, and data digitization, while human operators review and correct the results. BPO firms currently face severe challenges including labor shortages, rising training costs, and volume surges. A major constraint is the inability to increase order volume due to insufficient staffing, making profit margin improvement an urgent necessity. The Knowfa AI Agent addresses these issues by extracting product names, matching master data, and suggesting candidates based on past records. It allows BPO firms to process more orders with existing staff, stabilize data quality, and reduce processing time per item, thereby improving profitability. The PoC will utilize actual business data to verify reductions in processing time, improvements in product identification accuracy, and overall profitability enhancements. The anticipated PoC duration is 1 to 3 months.
FAQ
Who is recruiting joint PoC partners?
USK System Co., Ltd.
What kind of companies are targeted for recruitment?
Companies undertaking order entry, FAX entry, purchase order entry, and back-office BPO.
What tasks are subject to the PoC?
Data entry tasks for FAX, PDF, and email-attached purchase orders.
How long is the expected duration of the PoC?
Approximately 1 to 3 months.
What is the purpose of this PoC?
To verify reductions in processing time and stabilization of input quality through collaboration between AI and operators.