This project involves the development of a retail analytics dashboard, where one can view in real-time key performance indicators, sales trends, and customer behaviors. Such a dashboard would bring together data from multiple sources, including POS systems, CRM databases, online sales channels, and others to help drive insightful action for decision-makers.
This project came about because of the desire to leverage retail analytics in optimizing retail strategies and inventory management, generally enhancing overall business performance.
In this project, there will be data scientists, retail experts, software developers, and business analysts working together.
Week 1-2: Initial Planning and Requirement Analysis
Define project objectives, scope, and high-level requirements.
Gather needed data and resources.
Week 3-5: Data Collection and Preprocessing Phase
Gather data from multiple previous sources, including POS systems, CRM databases, and online sales channels. Clean and preprocess it.
Analyze the data to understand the relevant sales trends and customer behavior.
Week 6-8: Model Development and Training Phase
The phase for the development and training of analytics models in generating retail insights.
Model validation about accuracy and performance using historical data.
Week 9-10: Dashboard Development and Integration Phase
To develop a dashboard in retail analytics and integrate it with the current retail systems.
Testing with refinement based on user feedback and dashboard performance metrics.
Week 11-12: Deployment and Monitoring Phase
Retail environment deployment of the dashboard
Monitoring of dashboard performance with adjustment as required
