Private GenAI Search & Policy Q&A for Enterprise Commerce

Secure, PII-Safe AI Search Built on AWS Bedrock & OpenSearch

Enable fast, accurate answers across product data, policies, and operational content without exposing sensitive data or relying on public LLMs.

The Challenge

The Business Problem

Poor Search Performance at Scale

Managing 25,000+ SKUs with inadequate search relevance, leading to poor customer experience and lost sales opportunities.

High Support Load

Repetitive policy questions about returns, shipping, and warranties overwhelming support teams and increasing operational costs.

Data Security Concerns

Sensitive customer and operational data that cannot leave AWS infrastructure or be exposed to public LLM providers.

Lack of Governance

Existing search tools lacked relevance, multilingual support, and proper governance controls for enterprise compliance.

The Solution

SnapTec's Private GenAI Architecture

What makes this enterprise-grade:

Private LLM Orchestration

Using Amazon Bedrock with no data leakage to external providers

Hybrid Search Engine

Semantic + keyword search via Amazon OpenSearch for maximum relevance

RAG Architecture

Versioned, auditable knowledge sources with retrieval augmentation

Strict PII Controls

Sanitization and guardrails to protect sensitive customer data

API-First Delivery

Seamless integration for web, mobile, and internal tools

No Vendor Lock-in

Flexible architecture that adapts to your infrastructure needs

Measurable Outcomes

Results That Matter

Faster Search

Faster, more relevant search responses with semantic understanding

Higher Accuracy

Higher answer accuracy across policies and product data

Reduced Tickets

Reduced support ticket volume through self-service answers

Zero Data Risk

Zero customer data exposure risk with private infrastructure

Production Ready

Production-ready, governed AI workflows for enterprise scale

Multi-Language

Multilingual support for global commerce operations