Hewlett-Packard Retail Improvement
Nimblu-Keytronics
Our Mission
The initiative aimed to aggregate and analyze sales data across various retailers, including Liverpool, Palacio de Hierro, Walmart, Home Depot, Office Max, and Office Depot, to identify opportunities for improvement and optimization in the distribution and sales of Hewlett-Packard products.
Development
The project focused on developing a sophisticated data collection and analysis system:
1. Internal Data Collection System: Hewlett-Packard established an internal mechanism to gather sales and inventory information in diverse formats such as Excel, CSV, TXT, and fax. This process involved receiving, reviewing, and ultimately consolidating the data into a local database, followed by its migration to Azure for unified processing and analysis.
2. Data Mapping and Integration: The collected data was mapped and integrated into a software system designed to visualize sales dashboards and demand analytics. This step was crucial for understanding the distribution and sales performance across different retailers.
3. Centralized Database with Azure: Utilizing Azure allowed for the centralized management of the database, ensuring organized and accessible data storage.
4. Software Development: The development team created user-friendly dashboards based on the Azure data. These dashboards provided insights into which retailers were selling specific products, the profile of the final customer, and detailed reports on HP product sales, including metrics like sell-in, sell-out, and sell-through.
5. Power BI Utilization: Microsoft's Power BI tool was employed to visually analyze the data extracted from Azure, enhancing decision-making capabilities regarding product distribution and sales strategies.
Results
The implementation of our system led to remarkable outcomes:
1. In 2010, the initiative was honored with the Microsoft Cloud Partner of the Year award, recognizing its innovative use of cloud technologies.
2. Sales increased, and the distribution process to retailers became more efficient. This improvement was largely attributed to the enhanced understanding of inventory stagnation and unmet product demand across different locations.
3. The strategy led to a win-win situation where both retailers and Hewlett-Packard minimized losses associated with unsold inventory, optimizing stock levels according to demand.
4. Comprehensive data on personal computing and printing equipment sales across Mexico from 2009 to 2016 was collected and analyzed.
5. The initiative resulted in a 25% increase in efficiency and sales, demonstrating the power of data-driven decision-making in retail distribution.
This project showcases the transformative potential of integrating technology and data analytics into retail strategies, significantly impacting sales performance and operational efficiency.
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