Overview
For organizations responding to a high volume of requests for proposal, quotation, or information, the bottleneck is rarely expertise. It is the time required to extract requirements from unstructured documents, cross-reference product specifications, apply pricing logic, and produce a compliant, formatted response before the window closes. At scale, this creates a structural capacity constraint that limits how many bids a team can competitively pursue.
NeenOpal has built and deployed RFX automation for manufacturing and retail clients where quote cycle time directly determines win rates. The agent ingests documents from email, shared drives, and procurement portals, uses large language models to extract line-item requirements and compliance criteria, retrieves matching content from live product and pricing data using semantic search, and produces a draft response in the client's preferred format for review and submission.
What We Deliver • Document ingestion from email, shared drives, and procurement portals covering PDF, Word, and structured form formats • AI-powered extraction of line-item requirements, technical specifications, delivery terms, and compliance criteria • Semantic retrieval across product catalogs, pricing tables, and historical bid libraries using Bedrock Embeddings and OpenSearch • Automated response generation with configurable templates aligned to client brand, formatting standards, and compliance requirements • Reviewer workflow with confidence flags on matched items and full audit trail for submitted responses • CRM, ERP, and document management integration for end-to-end bid lifecycle tracking
Where This Applies • Manufacturing and industrial distributors responding to high volumes of RFQs from procurement teams • Technology and professional services firms managing complex RFP responses across multiple practice areas • Retail suppliers and CPG companies handling retailer-initiated pricing and compliance document requests • Government contractors managing structured bid submission requirements across multiple concurrent opportunities
Why NeenOpal • Deployed RFQ automation for retail clients achieving 3x increase in processing capacity without adding headcount • Retrieval-augmented architecture ensures responses draw from current product and pricing data, not stale model knowledge • Compliance and formatting rules are fully configurable per client, supporting industry-specific and client-specific bid standards • Built on Amazon Bedrock with enterprise-grade security, observability, and cost controls
Highlights
- Semantic retrieval using Bedrock Embeddings and OpenSearch matches extracted RFX requirements against live product catalogs and pricing data, eliminating manual cross-referencing across large specification sets.
- Deployed for manufacturing and retail clients with 3x improvement in RFQ processing capacity, generating formatted draft responses that reviewers finalize rather than build from scratch.
- Configurable compliance and formatting rules adapt the agent to client-specific bid standards, industry requirements, and preferred response templates without code changes per workflow.
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NeenOpal Inc. is proud to be an AWS Advanced Tier Services Differentiated Partner, recognized for delivering innovative, scalable, and secure cloud solutions. As a data, AI & cloud-driven consultancy, we specialize in harnessing the power of AWS to drive measurable business outcomes.
Our team of AWS Certified experts is dedicated to staying at the forefront of cloud advancements, ensuring you receive cutting-edge solutions tailored to your unique needs. With AI, Data & Analytics and SaaS Competency, Managed Service Provider accreditation and multiple AWS Service Deliveries and FTR-validated solutions, we are an AWS trusted partner for businesses across industries.
Explore our comprehensive services at https://www.neenopal.com/powering-business-transformation-with-aws-and-neenopal.html . For tailored pricing or professional support, contact us at aws_marketplace@neenopal.com - your gateway to AWS excellence.