Overview
Conventional staff roster schedulers make it challenging for store managers to anticipate and accommodate varying store traffic. Fixed rosters can result in either understaffing, impacting customer experience, or overstaffing, wasting resources.
Leveraging historical footfall patterns and AI models, FootfallCam Staff Roster App recommends an ideal staff-to-footfall ratio for optimal staffing levels.
FootfallCam AI
Without visibility to historical and projected footfall data, store managers have to plan staff rosters in a “uninformed” manner, relying solely on guesswork.
Leveraging diverse datasets such as historical footfall, weather, holidays, and more, FootfallCam AI intelligently processes and recommends the optimal staffing levels based on predictions.
By adopting AI recommendations for determining the ideal staff numbers, retail stores can avoid unnecessary labour cost wastage while enhancing the customer experience.
Features
Leveraging the footfall data and predictive analytics, it helps operation managers with smart staff allocations based on golden ratio of footfall-to-staff.
The review of staffing levels in a retail store is essential in ensuring that there is an optimal balance between customer service and labour cost to achieve optimised shopping experience.
A workspace for operation managers to import staff data and ensure the data readiness for staff planning purpose.
Staff Roster Planner App
Learn how Staff Roster Planner App addresses your business challenges.
Learn MoreDepartment
Operation
KPI
Ideal Staffing Level Prediction
Learning from historical footfall pattern, FootfallCam AI recommends the ideal staffing level to achieve the most optimal footfall-to-staff ratio.
Use Case in Action
FootfallCam Lab
FootfallCam Lab* faces the challenge of managing fluctuating footfall patterns in retail stores. The Operation Manager struggles with a fixed staff roster that doesn't adapt to varying customer traffic. This rigidity hinders their ability to efficiently allocate staff during peak shopping times.
FootfallCam's Staff Roster Planner App recommends optimal staffing levels by analysing historical footfall data and predicting peak periods. This empowers Operation Managers to dynamically adjust staff schedules, ensuring efficient coverage during high-traffic times and reducing staffing costs.
*This is a fictitious company and a hypothetical use case.
