The Challenge
The county’s retail recruitment strategy was largely reactive. Without accurate, forward-looking data, local development teams and retail brands struggled to identify ideal sites early in the cycle. As a result, promising trade areas went unnoticed until competitors had already moved in, leaving revenue and prime real estate untapped.
Solution
MapZot.AI transformed the process through its Predictive Retail Model, which analyzes demographic trends, consumer behavior, market conditions, and expansion patterns. The model identifies high-potential trade zones years before traditional market research can detect them, helping both brands and developers make smarter, faster decisions.
Key Insights & Results
90% Prediction Confidence: Exceptional accuracy in forecasting brand expansion success.
100% Match for Firehouse Subs: Identified a perfect-fit market for a new store, validated by strong performance metrics.
95% Accuracy for Chipotle: High-confidence expansion target confirmed by brand-level demand data.
92% Potential for Popeyes: A strong market opportunity validated through multi-layered retail analysis.
Outcome
Paulding County shifted from reactive to proactive development. With MapZot.AI’s insights, the county’s economic development team gained the ability to attract right-fit national brands before competitors even recognized the opportunity, strengthening local growth and investor confidence.
Impact
Predictive intelligence turned data into a competitive advantage powering faster recruitment, better site decisions, and smarter growth.