NeenOpal AI-Powered RFQ-to-Quote Automation for Distribution

Wholesalers and distributors handle high volumes of RFQs against fragmented catalogue, inventory, and pricing data -- assembling quotes one at a time in a process that breaks down at scale. Requests arrive across email, phone, web portals, and messaging channels with no central register, leading to repeated data re-entry across systems, inconsistent tier and discount application, and opportunity leakage.

This solution captures every inbound request regardless of channel, extracts structured line items using AI-driven document and language understanding powered by Amazon Bedrock, matches them against your catalogue and inventory, applies tiered pricing rules, and produces a ready-to-send quote -- all with human sign-off before dispatch.

Where pricing is externally set by a principal or supplier, the platform ingests and tracks those rates directly, automatically flagging quotations affected by rate changes so your team never quotes on stale numbers.

The solution complements your existing CRM and ERP systems rather than replacing them, integrating with catalogue, pricing, and order-system workflows you already rely on.

• Multi-channel RFQ intake with automatic extraction of structured line items from emails, portals, and messaging channels
• Catalogue and inventory matching with tiered and discount pricing automation
• External rate pass-through with automatic change-flagging for principal-set pricing
• Approval routing with full audit trail -- every quote traces back to a rule, catalogue entry, or external source
• Internal handoff tracking and unified pipeline visibility across all business units
• Manual and off-system fallback for edge cases requiring human intervention

• 50-70% reduction in quote turnaround time
• 30-50% more RFQ volume handled without additional headcount
• 10-20% improvement in quote-to-order conversion
• 60-80% reduction in manual effort per quote
• Automatic flagging when external rates change, eliminating downstream pricing errors

Industrial and B2B distribution, wholesale-facing retail, building materials and construction supply distribution, and agency or reseller models operating on principal pricing.

Built on AWS-native serverless architecture with secure multi-tenant storage, designed for scalability and reliability. The platform leverages Amazon Bedrock for AI-driven document understanding and language extraction, ensuring your RFQ processing benefits from enterprise-grade cloud infrastructure.

Delivered by NeenOpal Inc., an AWS Advanced Tier Services Differentiated Partner since 2019 with AI, Data and Analytics, and SaaS Competency. NeenOpal participates in the ISV Accelerate, AWS Managed Service, ACE, and Well-Architected Partner Programs.

The engagement follows a structured, assessment-led approach:

1. Identify the RFQ opportunity and quantify current-state economics
2. Demonstrate the target workflow against your actual data
3. Execute a controlled pilot to prove business outcomes
4. Expand across business units with measurable ROI

This solution is informed by research across 33 company groups, 19 industries, and 4 countries encompassing 242 problem statements, with reference deployments in industrial B2B distribution and distributor models on principal-set agency pricing.

To get started, reach out through AWS Marketplace to book a discovery call and explore how this solution fits your RFQ workflow.