Categories

Product Innovation

AI & Automation

Customer Insights

Tech Stack

Revolutionizing Product Development and Global Expansion with GenAI

A global household appliance company sought to modernize its data management and product development workflows. Our team created an AI-powered system that could classify customer feedback, streamline global content adaptation, and automate translation and packaging design—all while ensuring brand consistency and regional compliance.

Challenge

  • Scattered Customer Feedback: Reviews from Amazon, social media, and internal sources were unstructured and difficult to analyze, slowing product improvement cycles.

  • Delayed Product Insights: Processing thousands of reviews per SKU manually was inefficient, delaying product enhancements and market response.

  • Complex Localization Needs: Adapting promotional content for multiple languages, currencies, and regions was time-consuming and inconsistent, requiring manual adjustments.

  • Packaging Compliance Challenges: Designing and adapting packaging to meet regional regulations and SKU-specific requirements required significant manual effort.

  • Inefficient Translation Process: Translating large JSON-based user guides into multiple languages posed challenges in accuracy, speed, and quality control.

Solution

  • AI-powered product intelligence and localization platform that automates customer feedback analysis, content adaptation, packaging design, and multilingual translation, enabling faster product development, global expansion, and market responsiveness.

  • Developed models using AWS Bedrock (Claude 3 Sonnet and Titan Embeddings) to classify feedback into themes like defects, feature suggestions, and service issues.

  • Automated analysis to identify detractors impacting product ratings and highlight 5-star delighters. Created a Streamlit-based UI for visualizing sentiment data and actionable insights in real-time.

  • Used Stability AI’s Stable Diffusion XL 1.0 and Amazon Titan Image Generator to detect and replace text, pricing, and currencies in banners.

  • Designed a conversational tool for generating packaging based on regional specifications or predefined templates.

  • Built an automated translation system using AWS Bedrock to handle JSON-formatted technical guides across multiple languages.

Outcome

  • Delivered insights that reduced development cycles by 25%, enhancing understanding of customer needs.

  • Cut localization time for promotional materials by 60%, enabling timely global launches.

  • Reduced manual packaging efforts by 50%, supporting regional compliance efficiently.

  • Achieved an 80% reduction in manual translation work, accelerating global product rollouts.