Lenovo, a major global hardware manufacturer, faced challenges with their MySQL database in managing the vast number of logs generated daily, which hindered their ability to develop new business initiatives such as in-store research programs. By adopting Elasticsearch, Lenovo's small BT/IT team, led by Liuxue Cao, was able to efficiently handle over 400 million logs per day, freeing them to focus on projects that provide business insights crucial for decision-making. This transition allowed Lenovo to analyze consumer interactions with products in real time across 5,000 retail and partner stores in China, offering insights into customer preferences and optimal product placement. The data gathered enables Lenovo to make informed inventory adjustments and develop new Elasticsearch-powered initiatives that link product sales to real-time demo interactions, ultimately enhancing their understanding of consumer behavior and guiding future product development.