AI Shopping Assistant for B2B Professional Products

Transform complex B2B catalog navigation into consultative selling at scale with AI-powered conversational commerce built on AWS Bedrock.

Why Choose BitStone for AWS AI Shopping Assistant

Conversational Commerce on AWS Bedrock

This professional service helps B2B distributors transform their e-commerce experience with an AI-powered shopping assistant that engages customers through natural dialogue, recommends products from complex catalogs, and autonomously completes orders through API integrations.

We leverage key AWS services such as:

  • AI & Compute: Bedrock, Lambda, ECS/Fargate
  • Data & Storage: Aurora, S3
  • Security & Access: Cognito, WAF, IAM, Secrets Manager
  • Delivery & Monitoring: CloudFront, CodePipeline, CloudWatch

Agentic AI Capabilities

Our solution uses advanced agentic AI to understand customer context, retrieve product information, check inventory, apply business rules, and execute transactions autonomously.

Key capabilities include:

  • RAG Engine with vector database and semantic search

  • Context-aware product recommendations including follow-up questions
  • Intelligent cross-selling and upselling
  • Autonomous order processing

Deployed in Your AWS Account

We deploy and configure the complete solution directly within the customer's own AWS account. You retain full ownership of all infrastructure, data, and application components from day one.

This approach ensures:

  • Full data sovereignty

  • No vendor lock-in
  • Direct AWS billing relationship

Use Case

Guided Dental Equipment Selection

Dental professionals face the challenge of navigating extensive product catalogs with thousands of specialized items. Our AI assistant engages dentists in natural conversation It recommends complete  packages with compatible equipment, explains technical specifications in plain language, suggests alternative configurations, and processes orders with preferred delivery timing.

Veterinary Practice Procurement

Veterinarian needs surgical supplies for upcoming procedures. AI assistant understands procedure types, asks about animal species and sizes, recommends appropriate instruments, ensures compatibility with existing equipment, and coordinates delivery timing with surgery schedule.

Salon Product Discovery & Selection

Salon and barber shop owners need expert guidance when selecting professional-grade products for their services. The AI assistant asks about salon size, services offered, client demographics, and brand preferences. It recommends suitable product lines for hair care, styling, coloring, and treatments, explains product benefits and application techniques, and suggests starter kits or professional bundles tailored to the salon's specialty.

24/7 Expert Product Guidance

Professional buyers get instant expert recommendations for complex product selections without waiting for sales rep availability. With thousands of products across multiple categories, the AI assistant serves as a knowledgeable guide, handling routine inquiries and technical questions while freeing the sales team to focus on high-value customer relationships.

AWS Value Proposition

AI Foundation with AWS Bedrock

AWS Bedrock provides the core AI capabilities powering the shopping assistant. Access to foundation models enables natural language understanding, semantic search through product catalogs, and intelligent conversation flows. Bedrock's managed infrastructure eliminates the complexity of deploying and scaling AI models, while its security features ensure customer data remains protected.

Security & Compliance

The AWS security ecosystem provides multiple layers of protection. Cognito handles user authentication, WAF protects against web threats, IAM enforces least-privilege access, and Secrets Manager secures API credentials. VPC architecture isolates workloads in private subnets, while CloudTrail and GuardDuty enable continuous security monitoring and compliance auditing.

Scalable and Resilient Architecture

AWS Lambda and ECS Fargate deliver automatic scaling based on demand. During peak shopping periods, the solution scales seamlessly to handle increased traffic without manual intervention. Pay-per-use pricing means customers only pay for actual compute consumption, optimizing costs during low-traffic periods.

Reference Architecture

The solution is designed with security, scalability, and performance in mind. It uses a multi-AZ serverless architecture with containerized workloads, managed databases, and AI-powered conversational capabilities. Traffic flows through CloudFront and WAF for security, while Bedrock provides the AI foundation for natural language understanding and product recommendations.

Target Customer Profile

01

B2B professional supply distributors serving 2,000-20,000 professional customers

02

Dental, salon/barber, veterinary, and medical supplies companies with complex product catalogs (1,000-12,000+ SKUs)

03

E-commerce teams seeking to increase conversion rates and average order values without scaling inside sales headcount

Engagement follows five phases

Scope

Assess business goals, technical environment, integration requirements, and product data quality

Build

Deploy AWS infrastructure, build ERP/Shop connectors, configure RAG engine and product catalog

Integrate

Integrate chat widget, refine conversation flows, conduct UAT testing and sign-off

Launch

Production deployment, soft launch, performance optimization, training and documentation handover

Ready to transform your B2B e-commerce with AI-powered consultative selling?

Let’s explore how we can help you achieve your goals.

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