Built By Soniya
Predict regions priortization for Lowe's
Description
About the project
Click Here to check the heatmap HTML, zip code excels and complete case study (GITHUB)
Smarter Deliveries for Builders. Powered by AI.
I built an AI-driven ZIP code demand predictor to help Lowe’s Pro Services identify high-priority regions for job site delivery, mobile units, and localized outreach.
📍 Dallas-Fort Worth Market | Simulated POS + Permit Data
What I Did?
The goal was to identify ZIP codes where Lowe’s could focus delivery expansion for its Pro customers — including contractors, remodelers, and property managers. Using AI, I created a demand heatmap based on Pro order patterns, renovation permits, and construction activity
Collected and synthesized data (POS trends, permits, distance to store)
Applied KMeans clustering to group ZIPs into High / Medium / Low demand
Built an interactive Folium heatmap to visualize opportunity zones
Exported top ZIPs for campaign targeting and delivery pilot planning
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Why I Did It?
Lowe’s is growing its delivery and loyalty programs for trade professionals — but where should they invest first? This project provides a data-driven roadmap, ensuring resources go where they’ll have the highest ROI.
Challenge Addressed:
Pro customers expect job site convenience
Lowe’s needs to target smart — by ZIP, trade activity, and demand profile
AI/ML Approach
Methodology:
Normalized and clustered ZIPs using Scikit-Learn’s KMeans
Input features:
Monthly Pro Orders
Avg Order Size
Renovation Permits
Construction Employment %
Distance to Lowe’s
Classified ZIPs as:
🟢 High Demand | 🟠 Emerging Opportunity | 🔴 Low Priority
Visualization:
Built in Python with Folium (Leaflet.js)
Popups include order stats, proximity, and permit volume
Insights from the Model
Top ZIPs for Delivery Expansion:
75002 – 229 Pro Orders/month, 62 permits, 9.8 mi from Lowe’s
75034 – 204 Pro Orders/month, 57 permits, 2.2 mi from Lowe’s
Low Priority Areas:
75038 – Lower volume, 10.3 mi from Lowe’s
75028 – Low order size + fewer permits
Recommended Action Plan Based on Action Plan:
High Priority:- Deploy staff outreach teams- Launch community programs- Initiate school tie-ups and transport supportModerate Priority:- Maintain current outreach levels- Monitor for shifts in demandLow Priority:- Minimal resource allocation- Deprioritize for now
Strategic Applications
Prioritize ZIPs for local Pro delivery campaigns
Target tradeshow or mobile supply units in high-demand ZIPs
Feed ZIP segments into Meta/Google ad campaigns for Pros
Align staffing + local partnerships by predicted need
Client:
Lowe's
Service
AI Predictor
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