Gen-AI-Powered-Transformation-for-Global-HVAC-Leader

About Client

A global leader in building and cold chain solutions, innovating to meet the needs of people and the planet. The company serves residential and commercial customers worldwide, providing a range of solutions.

Business Challenges

The marketing team faced various challenges in addressing dynamic market needs such as: 

• Longer time to market - Manually writing marketing content took about a week, delaying marketing efforts.
• Channel-specific contentrequirements - Tailoring content for different marketing channels required a deep understanding of each platform.
• Quality and speed of content production - Quickly producing high-quality content for various channels was difficult, affecting consistency and schedules across platforms.

Solution Highlights

To address these challenges and improve efficiency, LTM built a generative AI-based solution using Amazon Bedrock. The solution included:

• AI-drivencustom content - Automated the creation of customized marketing content for emails and other channels, thereby reducing production time significantly.
• Platform-specific best practices - Developed templates and best practices for each marketing platform, ensuring content met specific requirements.
• Interactive application - Built an application that incorporated user inputs and feedback to refine content, enhancing accuracy and relevance.
• Feedback loop for continuous improvement - Collected user feedback to support reinforcement learning and continuous improvement of the AI model. 
• Content with the right guardrails - Implemented guardrails to prevent toxic or inappropriate content using Amazon Bedrock and LTM’s large language model (LLM) evaluation framework. 

Business Benefits

• Improved efficiency: Reduced time to market and increased efficiency by 40%, enabling quicker adaptation to campaign needs.
• Improved traffic across platforms: Achieved a 10% increase in traffic on platforms like Email, LinkedIn, and Blogs.
• Consistent quality across channels: Maintained high-quality, platform-specific content consistently, preserving brand voice and messaging. 
• Enhanced user control and satisfaction: Provided options for manual review and feedback, increasing user satisfaction and engagement. 
• Scalable content production: Enabled scalable content production, easily expanding to additional channels like Instagram and web 
• Improved campaign effectiveness: Delivered relevant and tailored content quickly, improving engagement and potentially boosting conversion rates .