Case Studies

We automated the retrieval of Amazon 1P sales data by developing a Selenium-based script that extracts invoice details from Vendor Central reports. This solution improved our client's ability to manage and analyze sales data across channels, enhancing their planning and analytics.

We developed an Automated Performance Report for an e-commerce business, covering sales and inventory data across various channels (Amazon, Website, Retail). The report is updated weekly, with links automatically sent to the company's leadership. Implemented in both Tableau and Google Spreadsheet, the solution offers varying levels of detail and flexible customization.

We helped our client optimize their data flow by migrating to Amazon SP API and Apache Airflow. The project involved integrating Amazon Vendor API, upgrading from Amazon MWS to SP API, and centralizing all data processing scripts in a robust cloud infrastructure. The result was improved data accuracy, enhanced automation, and a more scalable and flexible data management system, enabling the client to stay ahead in the competitive e-commerce landscape.

Deep analysis of customer order data led to valuable insights, enabling the launch of new product bundles and improved marketing strategies. By identifying patterns in product pairings, sequential purchases, and customer behavior, we helped our client enhance their e-commerce performance and better understand their target audience.

We Identified Key Insights (By applying Machine Learning and NLP), that helped our client optimize support performance, enhance product quality monitoring, and improve marketing strategies, leading to better customer satisfaction and new product bundles.

We developed a solution for a company selling on Amazon to automate the monitoring of competitor prices and Buy Box changes. The system tracks multiple products daily, instantly notifying the team via Telegram when competitors with better prices appear or when products are blocked. This enabled the client to respond quickly to changes and maintain a high level of sales.

We developed an automated system for data collection from Walmart, Michaels, and Joann, and created a weekly automated report in Tableau.

We developed an automated solution to gather contact information for potential partners. Leveraging Selenium, we collected over 4,500 data points, followed by a custom parser to extract additional contact details from websites. The client's marketing campaign was highly successful as a result.