Nagent AI
Case Study

Improving RFP Response Time and Inventory Visibility

19th Feb 2026
2 mins Minutes read
This study demonstrates how an Inventory Intelligence Agent resolved master data issues to slash RFP response times by up to 30%.
Improving RFP Response Time and Inventory Visibility

Overview

Improving RFP Response Time and Inventory Visibility for a Supply Chain Company Using AI Agents.

The Challenge

A supply chain company faced persistent delays in responding to customer requests for consumables and spare parts and in preparing RFP responses. Teams struggled to determine item availability or recommend alternatives due to poor master data quality, including duplicates and inconsistencies. This led to ineffective searches, unclear inventory visibility, and manual back-and-forth across teams, resulting in slow responses and missed opportunities.

The Solution

Nagent AI built an AI-powered Inventory Intelligence Agent that analyzed and corrected errors in master data by identifying duplicates, standardizing naming conventions, and linking equivalent spares across brands. It enabled intelligent search to instantly check inventory availability and recommend viable alternatives when requested items were unavailable, supporting faster and more accurate responses to customer inquiries.

The Result

The company saw significantly improved internal operational efficiency and gained clear, reliable visibility into inventory and alternatives. Manual effort across sales, procurement, and operations teams was reduced, leading to faster and more confident customer and RFP responses.

Impact

The project resulted in a 20–30% reduction in response time to customer requests and RFPs, alongside better inventory planning through clearer demand signals. By resolving master data challenges and enabling intelligent cross-referencing, the AI agent transformed how the company managed inventory and responded to customer needs, driving speed and operational excellence.