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    GenAI Review Intelligence for E-commerce

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    Factual Minds delivers a 6-week GenAI implementation using Amazon Bedrock that transforms product reviews into business insights. Features include review summarization, semantic search, abuse detection, and merchant analytics—no ML expertise required.

    Overview

    Factual Minds offers a turnkey consulting solution that empowers retail and D2C platforms to unlock the value of generative AI using Amazon Bedrock—without the need for in-house AI/ML expertise. In just six weeks, we deliver an end-to-end system for intelligent review processing, customer sentiment analysis, and feedback moderation, all fully managed and built for scalability.

    Our solution includes powerful capabilities such as review summarization, semantic search, abuse detection, and merchant-level analytics—enabling brands to extract insights from thousands of product reviews, surface trends, detect inappropriate content, and improve customer experience across marketplaces. The system is built using Bedrock foundation models like Amazon Titan, Anthropic Claude, and AI21 Jurassic, along with AWS-native services like S3, Lambda, API Gateway, and CloudWatch—ensuring security, performance, and operational simplicity.

    Designed for fast, production-ready deployment, this solution is ideal for e-commerce teams looking to drive voice-of-customer analytics, streamline content moderation, and improve product lifecycle visibility—without the overhead of model fine-tuning or infrastructure management. Whether you're launching a new product or refining customer support workflows, this AI-powered platform delivers tangible results in weeks, not months.

    Highlights

    • Rapid implementation of GenAI features like summarization, search, and abuse detection using Amazon Bedrock.
    • Serverless architecture with pre-trained models eliminates the need for AI expertise or ML infrastructure.
    • Use reviews to drive product decisions, improve merchandising, and enhance CX with real-time semantic analysis.

    Details

    Delivery method

    Deployed on AWS

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    Custom pricing options

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