
Big Data Solution for a 360-Degree Customer View and Optimized Stock Management
Industry
Retail, Travel & Hospitality, Wellness and Sports
Technologies
Big data, Power BI, Python, MS SQL Server, AI
About
The Client is a US-based corporation running omnichannel retail, hotel, restaurant, and other businesses.
challenge
The Client wanted to earn customer loyalty with a personalized approach, as well as to optimize internal business processes. However, they weren’t able to achieve this with the data locked within multiple applications specific to their business directions.
Solution
As the solution-to-be was to serve all the Client business directions, collect and aggregate data from 15 different data sources, such as CRM, Magento, Google Analytics, dedicated hotel, restaurant and wellness systems, VolgoTechnologies team first provided the Client with a proof of concept: based on the Client ERP data, we created a set of sample analytics reports.
Staging
Staging a Big Data Solution for a 360-Degree Customer View and Optimized Stock Management involves designing a comprehensive system that aggregates and analyzes data from multiple sources to enhance customer insights and inventory management. Here a structured approach:
Datawarehouse
Dataware House
Desktop Application

Results
With the developed analytics solution, the Client benefited from a 360-degree customer view across all channels and business directions, as well as robust retail analytics, which allowed them to create a personalized customer experience. The Client was also able to optimize internal business processes by improving their stock management and assessing employee performance.
Technologies and Tools
Microsoft SQL Server, Microsoft SQL Analysis and Integration Services, Python, Microsoft Power BI.