Walmart Reporting: Same-Day Visibility
We have brought in near-real time data, improved keyword metrics, and made data loading more reliable for Walmart. With these enhancements, Amerge Engine can react to performance changes faster, optimize budgets in near real-time, and Amerge View data accuracy for Walmart is now more in line with the Amazon data.
Unified API: Deeper Integration, Automated Testing, Closer Alignment with Amazon
This quarter, we have rolled out internal software frameworks that can interchangeably operate via both Legacy and Unified branches of the Amazon Ads API. We have also established automatic testing workflows that validate accuracy of in-platform results for each version of the API, enabling the best combination of stability and future-proofing of our Amazon applications. The result is fewer custom fixes and smoother releases, so features move from shipped to production faster and with more consistency.
On a related note, our head of product for Sponsored Ads – Peter Kita – joined an Amazon unBoxed discussion on APIs and operational efficiency.
New talent on board – Meet Lukas Snider, Software Developer
Lukas joins Amerge as a Software Developer with several years of experience building and optimizing backend systems. He specializes in Python, API design, and system architecture, and is excited to apply his technical expertise within the advertising industry to support scalable, high-performance platforms.
Why Amerge?
“I was drawn to the advertising industry because of the unique technical challenges in building and scaling complex, high-performance engines that power a modern agency.” – Lukas Snider, Software Developer
What he brings to our clients
- Strong expertise in backend development, system optimization, and architecture
- A focus on improving core platforms and internal tools to make them faster and more reliable
- A problem-solving mindset aimed at enabling teams to work more efficiently and effectively
By strengthening the systems our teams rely on every day, Lukas helps create the foundation for smarter campaign management, better data analysis, and faster results for our clients.
Advancing Generative AI in Amerge View
Building on Q3 discoveries, we continued advancing our exploration into generative AI in Amerge View with a focus on helping users extract strategic insights from complex performance data. This quarter, we are partnering with industry experts in LLM integrations to evaluate practical approaches to deliver our vision. We are also addressing further Amerge View optimization work that will make the data model AI-ready.
These practical steps are helping us implement the generative AI technology in the way that drives the most value, while future-proofing Amerge View for years to come.
Optimising Data Foundations for Performance and Stability
We also continued significant, ongoing optimisation of datasets and models that form the backbone of Amerge View. This work is critical for maintaining performance, reliability, and scalability, ensuring reports remain fast and dependable even as data volumes grow and client needs evolve.
By investing in this foundational work, we are better equipped to support current reporting requirements while also preparing for future AI enhancements and other capabilities.
