Location Analysis App

Explore how a retail business employed a Location Analysis App powered by AI to streamline this decision-making process, minimise stress, and unlock actionable insights for better strategic planning.

Managing Non-Performing Stores in a Competitive Market

Retail is a dynamic industry, where even successful companies must consistently optimise their operations to maintain profitability and adapt to changing market conditions. Every year, retail executives, including Real Estate Directors, face the daunting task of reviewing non-performing stores. While closing a store is a last resort, it’s an expensive and high-stakes decision that requires evaluating multiple factors—operational challenges, data inaccuracies, and the human impact of potential job losses.

In this case study, we explore how a retail business employed a Location Analysis App powered by AI to streamline this decision-making process, minimise stress, and unlock actionable insights for better strategic planning.

Location Analysis Apps

Store Location Analysis
Business Competitive Overview
Catchment Area Analytics
Store Catchment Area Funnel
Store Score Card

Store Location Analysis

Store Location Analysis Dashboard

Selecting the Right Locations that Maximise the Sales Opportunities

  • Using population, demographic and AI to measure the footfall potential for various locations.
  • Help retailers to identify the right location with maximised sales potential, within the shopping area.

Business Competitive Overview

Business Competitive Overview Dashboard

Competitive Analysis: Sales Potential and Demographics Comparison

  • Comparing the sales potential and demographics of your store with those of your competitors.
  • Help retailers understand where their business stands among the competition.

Catchment Area Analytics

Catchment Area Analytics Dashboard

Optimising Footfall Potential: Leveraging Demographics, Population Data, and AI

  • Using population data, demographics, and AI to measure the footfall potential for various locations.
  • Help retailers identify their catchment area and the corresponding capture rate.

Store Catchment Area Funnel

Store Catchment Area Funnel Dashboard

Drill Down from Catchment Area Analytics to Sales Funnel Analysis

  • Using AI and data modelling to calculate potential footfall and sales opportunities.
  • Help retailers identify areas where they can maximise sales potential or target the right customers.

Store Score Card

Store Score Card Dashboard

League Table: Store Performance Benchmarking

  • Compare the performance of each store and rank them based on key KPIs.
  • Help retailers make operational decisions such as store closures, targeted marketing strategies, staff KPI reviews, etc.

What is the Solution

AI-Powered Location Analysis for Data-Driven Decisions

For the Real Estate Director, ensuring the long-term profitability of the retail chain required annual reviews of all store locations. The goal was to identify locations that underperformed not because of operational inefficiencies but due to external factors like poor location choices

To make data-driven decisions, the company implemented the Location Analysis App, an AI-powered solution that provided the following capabilities:

Rental Negotiation Report

Assessing whether rent costs are in line with the store’s commercial potential and market conditions

Rental Negotiation Report

New Store Location Evaluation Report

Evaluating potential new sites to predict footfall and revenue potential before committing.

New Store Location Evaluation Report

Proposed Store Closure Review Report

Offering predictive insights to assess if a store closure will be the best strategic move.

Proposed Store Closure Review Report

Store Commercial Assessment Report

Identifying which stores are underperforming and what external factors might contribute.

Store Commercial Assessment Report

Competition Coverage Report

Analysing competitor presence and market saturation in the vicinity of the store.

Competition Coverage Report

The AI Model

Deciphering the Potential of Store Locations

The AI-powered model built into the Location Analysis App transformed the way the Real Estate Director approached store reviews. Using existing footfall data from operational stores, the AI system learned patterns to predict commercial potential more accurately. It provided comprehensive assessments and actionable reports, making the review process less stressful and more efficient. 

Eliminated Guesswork

The AI provided an objective analysis of location potential, removing uncertainty from decision-making.

Saved Time and Effort

The annual review process, which previously involved hours of manual research, now took significantly less time.

Informed Negotiations

The Rental Negotiation Report empowered the director to secure better lease terms for stores in areas with fluctuating foot traffic.

Minimised Risk of Premature Closures

The AI flagged operational improvements that could be made to boost performance before considering closures.

How it Works?

How the Location Analysis App Works?

Map Data and Visualisations

Users can access real-time geographic and demographic data through an interactive map, offering insights into nearby foot traffic, population trends, and competitor density.

AI Training with Existing Data

The retailer’s historical footfall and sales data trains the AI model, allowing it to generate predictive insights specific to the retailer’s unique conditions.

Video Tutorials for Easy Onboarding

The platform offers short instructional videos on key features, including generating reports, adjusting parameters, and interpreting the data for actionable results.

Case Results

A Data-Driven Approach to Store Closures

By using the Location Analysis App, the Real Estate Director was able to:

  • Identify stores that were struggling not due to operational issues but poor location choices, avoiding unnecessary job losses.
  • Redirect resources to better-performing stores or negotiate improved lease terms for marginal ones.
  • Close stores only when absolutely necessary, backed by clear, data-supported insights from the AI model.

This tool allowed the executive team to feel more confident in their decisions and significantly reduced the stress of evaluating underperforming stores. As the AI model evolved, it became a valuable asset—almost like an additional team member—helping the leadership team make smarter, more proactive decisions.

Smarter Decisions with AI-Powered Location Analysis

Location Analysis Apps are transforming retail strategy by providing actionable insights. For Real Estate Directors, these apps reduce the risk of making costly mistakes and offer a structured way to optimise operations. The AI model doesn’t just evaluate a store’s current performance—it provides a roadmap for maximising the commercial potential of every location.

With tools like these, retailers can identify missed opportunities, negotiate smarter leases, and close stores only when necessary, ensuring they remain profitable and competitive in the long run. 

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