
"However, as the advertising industry rapidly evolves, traditional analysis methods and generic AI outputs are no longer sufficient to provide actionable insights. To remain competitive, CLICKFORCE turned to AWS to build Lumos, a next-generation AI-driven marketing analysis solution powered by Amazon Bedrock, Amazon SageMaker AI, Amazon OpenSearch, and AWS Glue. In this post, we demonstrate how CLICKFORCE used AWS services to build Lumos and transform advertising industry analysis from weeks-long manual work into an automated, one-hour process."
"Before adopting Amazon Bedrock, CLICKFORCE faced several roadblocks in building actionable intelligence for digital advertising. Large language models (LLMs) tend to produce generic recommendations rather than actionable industry-specific intelligence. Without an understanding of the advertising environment, these models didn't have the industry context needed to align their suggestions with actual industry realities. Another significant challenge was the absence of integrated internal datasets, which weakened the reliability of outputs and increased the risk of hallucinated or inaccurate insights."
"At the same time, marketing teams relied on disconnected tools and technique such as vibe coding, without standardized architectures or workflows, making the processes difficult to maintain and scale. Preparing a comprehensive industry analysis report was also a time-consuming process, typically requiring between two and six weeks. The timeline stemmed from multiple labor-intensive stages: one to three days to define objectives and set the research plan,"
CLICKFORCE faced generic LLM outputs lacking advertising context, fragmented internal datasets, and disconnected tools that made analysis slow and error-prone. The company implemented Lumos, an AI-driven marketing analysis platform built on Amazon Bedrock, Amazon SageMaker, Amazon OpenSearch, and AWS Glue. Lumos integrates internal data with industry context to reduce hallucinations and produce actionable, industry-specific intelligence. The platform automates workflows and standardizes architectures, replacing vibe coding and manual processes. Report generation time was reduced from two-to-six weeks to about one hour, enabling faster, scalable, and more reliable advertising decision-making. The solution leverages data-driven advertising and conversion (D4A) to help brands, agencies, and media partners make smarter decisions.
Read at Amazon Web Services
Unable to calculate read time
Collection
[
|
...
]