FootfallCam Applications
Select the right application for your businesses, with AI workflow automation
“To determine the ideal location for opening a new store with maximum sales potential.”
Business Challenge
Operation managers often struggle with decisions to open or close stores due to limited visibility into footfall and sales potential at specific locations.
Solution
FootfallCam AI utilises built-in demographics data to offer catchment area insights, enabling operation managers to make data-driven decisions instead of relying solely on intuition.
“To define achievable sales targets that will drive the store to its maximum sales potential.”
Business Challenge
In the realm of mixed store performance, sales managers grapple with unlocking the full potential of specific stores. They wonder if they've reached the pinnacle or if further potential remains untapped.
Solution
Each retail stores are unique. FootfallCam AI optimises sales targets for individual stores by intelligently categorise stores based on shared traits, benchmark their performance within their respective clusters, and recommend a set of achievable targets.
“To identify the most effective allocation of marketing spending to achieve the highest possible ROI.”
Business Challenge
Challenges arise as marketing managers juggle data from various sources, aiming to track spending, footfall, and sales for each event effectively.
Solution
FootfallCam AI harnesses Big Data and AI-powered market intelligence to predict and quantify lift rates based on historical campaigns. It continuously learns, evaluates event effectiveness, and forecasts future outcomes intelligently.
“To maintain the current staff salary expenditure while increasing productivity and output.”
Business Challenge
Store managers face a challenge as they lack access to historical and projected footfall data, leading to uninformed staff roster planning solely based on guesswork.
Solution
With the diverse datasets like historical footfall and weather, FootfallCam AI recommends optimal staffing levels. By adopting AI recommendations for determining the ideal staff numbers, retail stores can avoid unnecessary labour cost wastage while enhancing the customer experience.
AI Features
Smart Store Profiling
Using the clustering method to intelligently categorise stores based on their common traits and characteristics helps customers uncover patterns, learn about individual stores, and tailor better strategic planning to each market segment.
- Footfall Potential
- Locations
- Demographic Preference
- Sales Performance
Predictive Analysis for Better Planning
AI predictive modelling utilises historical and diverse datasets (sales, store, staff, weather, demographics and etc.) to accurately forecast future data patterns and trends, aiding customers in advanced planning and decision-making.
- Footfall Forecasts
- Staff Allocation Planning
- Marketing Effectiveness
- Operating Hours Optimisation
Automated Alerts for Immediate Rectification
FootfallCam AI features a rule engine, allowing customers to create custom business rules and trigger “Rule-Based” and “AI-Triggered” alerts, ensuring on-the-spot decisions for immediate action and meeting SLAs.
- Overcrowding Notifications
- Opening or Closure of Checkout Stations
- Cleaning Task Alerts
AI-Powered Data Modelling
By leveraging your existing dataset and employing customer segment-specific AI data modelling, businesses can analyse the influence of various touchpoints and strategies on footfall, sales and customer behaviours. This facilitates optimised resource allocation and budgeting, leading to more targeted business initiatives and workflow optimisation.
- Smart Occupancy Modelling
- Marketing Mix Modelling
“By leveraging FootfallCam AI, I can revolutionise my operation workflow with intelligent profiling, automated alerts, and AI-recommended actions.”
Challenges: Relying solely on collected data without AI has limited insight and analysis capabilities, hindering decision-making, and missing out on predictive and prescriptive analytics for better strategic planning and optimisation.
With FootfallCam: The AI-powered analytics enables businesses to customise business rules with intelligent business metrics for their workflow, providing actionable insights for SLA improvements.