Key Features

New Store Evaluation

Assess potential store locations using population, economic, and demographic data for optimal site selection.

Competitive Analysis

Analyse competitor presence and market dynamics in the target area to position your store strategically.

Store Location Review

Evaluate and benchmark existing store locations to uncover missed opportunities, maximise store potential.

Part of FootfallCam V9

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.

Location Analysis Apps

Store Location Analysis

Selecting the Right Locations that Maximise the Sales Opportunities

• Using population, demographic and AI to measure the footfall potential
• Identify the right location with maximised sales potential

Business Competitive Overview

Competitive Analysis: Sales Potential and Demographics Comparison

• Comparing your business capture rate with competitors.
• Help retailers understand where their business stands among the competition.

Catchment Area Analytics

Optimising Footfall Potential:

• Using population data, demographics, and AI to measure the footfall potential for various locations.
• Identify store catchment area and the corresponding capture rate.

Store Catchment Area Funnel

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

League Table: Store Performance Benchmarking

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

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

New Store Location Evaluation Report

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

Proposed Store Closure Review Report

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

Store Commercial Assessment Report

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

Competition Coverage Report

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

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. 

How the Location Analysis App Works?

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.