Request of Quotation (RFQ) AI Automation

Overview

We delivered an AI assistant that interprets product intent and recommends qualified suppliers. The solution shortens sourcing time while maintaining match quality and policy compliance. Using retrieval, embeddings, and prompt‑engineered ranking, it delivers context‑aware vendor suggestions aligned to business constraints. The assistant automates routine outreach so the team concentrates on negotiation and partner strategy.

Challenge

Badgers' supplier identification process relied on manual research, requiring hours per product inquiry. Their team struggled to match inconsistent product descriptions with supplier offerings, creating a critical bottleneck. Without automation, they faced a lose-lose scenario: either expand their operations team proportionally with each new request or risk lost opportunities, slower responses, and diminished competitive advantag.

Results and Benefits

80% reduction in product‑to‑supplier matching time. 70% decrease in manual workload for sourcing and outreach. Faster initial engagement and scalable operations without additional hiring.

AWS Services

Amazon Bedrock, AWS Lambda, Amazon SQS, Amazon API Gateway, Amazon EventBridge.

Customer details

• Industry: B2B Marketplace / Procurement

• Company Type: Mid-sized Enterprise

• Location: France

• Project Timeline: 2 weeks