Business Implications
The predictive model empowered Lowe’s Pro Services to focus resources in high-demand regions, improving route efficiency and customer satisfaction. The AI-driven heatmap approach provided actionable insights for expansion planning, resulting in optimized delivery performance and better forecasting accuracy across multiple U.S. metro areas.
Steps Performed
Analyzed Lowe’s Pro delivery and permit data to predict regional demand, visualize patterns through a dynamic heatmap, and optimize delivery prioritization strategies.
1.
Define Business Challenge
Identified the need for data-driven regional prioritization to optimize Pro delivery logistics, minimize idle routes, and improve service efficiency across multiple metro markets.
2.
Aggregate And Clean Data
Collected Lowe’s point-of-sale, construction permit, and census data from multiple sources, cleaning and standardizing them using Python and AWS Glue for seamless modeling.
3.
Develop Predictive Model
Trained regression and clustering models in Amazon SageMaker to estimate delivery demand per region, identifying high-growth clusters and seasonal order fluctuations
4.
Visualize Insights On Heatmap
Built an interactive Tableau and QuickSight heatmap to highlight Pro demand intensity, helping regional managers visualize growth zones and make location-based decisions.
5.
Recommend Delivery Strategy
Suggested data-backed regional delivery prioritization strategies and expansion timelines, aligning distribution capacity with high-demand clusters for improved ROI and reduced delivery delays.
AWS Services Used
Amazon S3
AWS Lambda
Amazon SageMaker
Amazon QuickSight
AWS Glue
Amazon EC2
Python
Pandas
Tableau
Scikit-Learn
Technical Tools Used
Predictive Modeling
Data Visualization
Market Segmentation
Demand Forecasting
Skills Demonstrated
Predict regions priortization for Lowe's
AI Heatmap For Pro Delivery Demand Forecasting
Developed an AI-powered predictive model and interactive heatmap to identify and prioritize high-demand delivery regions for Lowe’s Pro Services. The model combined sales, permit, and demographic data to drive smarter territory allocation and route planning.
