Back to the registry
Agent passport

AI-Powered Dynamic Pricing Solution by Intuz

Intuz · Operations & Productivity

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

This professional service offering delivers an AI-powered dynamic pricing solution built on AWS, enabling businesses to optimize prices in real-time using machine learning. The solution is tailored for industries like e-commerce, travel, and retail where rapid market changes require automated, intelligent pricing strategies.

Our team helps you design, deploy, and optimize ML models using Amazon SageMaker for training and inference, and Amazon EC2 for scalable processing. The entire pricing engine is pre-configured with:

Show the rest of the publisher’s description (5 more lines)
  • Secure data pipelines using AWS Glue
  • Model hosting on SageMaker endpoints
  • Integration with your CRM, ERP, or existing pricing system via API Gateway and Lambda

Our services cover the complete lifecycle—from AWS infrastructure provisioning to production deployment and monitoring—ensuring a fast and scalable rollout customized to your business needs.

Learn more at https://www.intuz.com/ai-powered-dynamic-pricing-solutions

Highlights

Highlighted by the publisher on AWS Marketplace.

Pre-built ML models that continuously learn from your customer and market data.

Supports integration with your existing crm, ERP, and pricing systems.

Real-time price recommendations for every product, customer segment, or market.

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Professional service
Customer Support Commitment **Support Level:** Professional technical support with comprehensive setup walkthrough and ongoing monitoring assistance **Contact details:** - Email: cloudsupport@intuz.com - Support Hours: Monday to Friday, 10 AM to 7 PM IST - Response Time: Within 24 hours on business days (Emergency support available) - Contact Form: https://www.intuz.com/get-started **What We Support** - Real-Time Price Optimization: Dynamic price recommendations based on live market data, demand, and customer behavior. - Pre-Built Machine Learning Models: Continuously learning algorithms that adapt to market and customer trends automatically. - Seamless AWS Deployment: Fully containerized and pre-configured solution ready to deploy on AWS infrastructure. - Analytics & Reporting Dashboards: Track pricing trends, performance, and the impact of AI-driven decisions with built-in dashboards. - Scalability & Flexibility: Designed to scale with your data and adapt to different business verticals and pricing strategies. **Frequently Asked Questions (Q&A):** - Q1: Who is this solution best suited for? A: This is ideal for businesses in retail, transportation, and e-commerce that want to move beyond static pricing and react to market changes instantly. - Q2: How does this differ from traditional pricing tools? A: Traditional pricing is often rule-based and static. This solution uses live data and machine learning to recommend prices that change based on market signals and buyer behavior. - Q3: Can I apply my own pricing rules? A: Yes, you can create custom rules to apply on top of AI-generated recommendations to ensure they align with your business policies.
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.