AI Pricing Intelligence Platform
Automatically monitor competitor pricing, analyze market positioning, and optimize pricing strategies with AI-powered intelligence built on AWS Bedrock and AgentCore Browser.
Why Choose BitStone for AWS AI Pricing Intelligence?
Competitive Intelligence on AWS Bedrock
This professional service helps retailers and distributors gain automated competitive pricing insights through an AI-powered platform that monitors competitor websites and marketplaces, analyzes pricing patterns, and recommends optimal price points through a conversational interface.
We leverage key AWS services such as:
Intelligent Web Data Collection with AgentCore Browser
Our solution uses Amazon Bedrock AgentCore Browser, a fully managed cloud-based browser that enables AI agents to navigate competitor websites and extract pricing data securely at scale.
Key capabilities include:
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:
Use Case
Competitive Price Intelligence for B2B Distributors
Specialty retailers and distributors need to price thousands of products competitively but lack dedicated pricing teams. Our AI agents using AgentCore Browser automatically monitor 20+ competitor websites and marketplaces, identify price changes in real-time, and alert when competitive positioning shifts. The platform recommends specific price adjustments to maintain target market position while maximizing margins.
Real-Time Digital Product Pricing
Digital voucher and software license resellers face extreme price volatility with competitors changing prices multiple times daily. Operating on 2-3% margins with zero customer switching costs, they cannot afford manual monitoring. Our AI agents monitor prices across 15+ competing platforms in real-time, automatically alert when price gaps create arbitrage opportunities or competitive threats, and recommend instant price adjustments.
Margin Optimization for Specialty Retailers
Category managers and business owners need data-driven insights to optimize pricing across product lines. The AI platform analyzes historical pricing data, competitor positioning, and market trends to recommend pricing strategies that balance competitiveness with profitability. Natural language conversations make pricing insights accessible without technical expertise.
24/7 Automated Market Monitoring
Gain continuous competitive intelligence without hiring specialized pricing analysts. The platform monitors competitor pricing around the clock, tracks price history and trends, and provides actionable insights through a conversational interface accessible via web, mobile, or API integration.
AWS Value Proposition
AI Foundation with AWS Bedrock & SageMaker
AWS Bedrock provides the generative AI capabilities powering the conversational interface, while SageMaker handles price prediction models and optimization algorithms. Managed ML infrastructure eliminates the complexity of model training and deployment, enabling sophisticated pricing intelligence without data science expertise.
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. Amazon Bedrock AgentCore Browser provides enterprise-grade web data collection. Managed browser sessions auto-scale based on monitoring workload, from monitoring a few competitors to hundreds simultaneously. Session isolation ensures security, while AWS handles infrastructure complexity, CAPTCHA challenges, and concurrency management.
Reference Architecture
The solution is designed with scalability, security, and real-time performance in mind. AgentCore Browser provides managed browser sessions for competitor data collection, auto-scaling based on monitoring workload. Collected pricing data flows through Lambda for processing, stored in Aurora and S3 for analysis. SageMaker handles price prediction models, while Bedrock powers the conversational AI interface.
Target Customer Profile
01
Small to medium-sized retail and distribution companies managing 500-5,000 SKUs without dedicated pricing teams
02
B2B specialty product retailers and regional wholesalers needing competitive price monitoring across multiple competitors
03
B2C digital product resellers (gaming vouchers, software licenses, gift cards) operating on thin margins with extreme price volatility
Engagement follows five phases
Ready to optimize your pricing strategy with AI-powered competitive intelligence?
Let's explore how we can help you increase margins and respond faster to market changes.