Blog

Subscribe to stay in the know!

Every month, we publish in-depth newsletters exploring emerging trends in workplace, retail, and energy management.

How to Scale Your Store Network with Standardized and Automated Real Estate Committee Processes 

Expanding your retail footprint in today’s dynamic market demands more than just intuition—it requires data-driven precision. In a recent webinar, Paul Thompson, SVP of Analytics at Tango, delved into how businesses can streamline their store expansion strategies by standardizing and automating Real Estate Committee (REC) processes. Central to this approach is Tango Predictive Analytics, a tool designed to enhance decision-making in site selection and capital investment.  

The Imperative for Standardized REC Processes 

Traditional REC processes often suffer from inconsistencies, manual errors, and fragmented data sources, leading to delays and suboptimal site selections. By standardizing these processes, organizations can ensure uniform evaluation criteria, reduce approval times, and foster better collaboration among stakeholders. Automation further enhances efficiency by minimizing manual tasks and integrating real-time data into decision-making workflows. 

Leveraging Tango Predictive Analytics for Strategic Expansion 

Tango Predictive Analytics offers a robust solution for businesses aiming to make informed real estate decisions. Key features include: 

  • Real-Time Modeling: Move beyond historical data with real-time analytics that reflect current market conditions and consumer behaviors. 
  • Diverse Data Integration: Combine various data sets, including demographic trends and shopping patterns, to gain comprehensive insights into potential locations. 
  • Advanced AI and Machine Learning: Utilize sophisticated algorithms that blend traditional site modeling expertise with modern predictive techniques for accurate forecasting. 

By integrating Tango Predictive Analytics into REC processes, businesses can identify optimal sites, predict sales performance, and align expansion strategies with market dynamics. 

Real-World Impact: A Case Study 

Consider the example of Northern Tool, which implemented Tango’s solutions to enhance its store network expansion. By adopting standardized REC processes and leveraging predictive analytics, the company achieved more accurate site evaluations and streamlined its approval workflows, resulting in more strategic growth decisions. 

Conclusion 

In an era where agility and precision are paramount, standardizing and automating Real Estate Committee processes is no longer optional—it’s essential. Tools like Tango Predictive Analytics empower businesses to make data-informed decisions, optimize site selection, and accelerate store network growth. 

To explore how Tango Predictive Analytics can transform your real estate strategies, visit the product page or watch the webinar for an in-depth discussion.