The problem
Retail chains lack real visibility of customer flow and per-store occupancy: it is estimated roughly, checkout queues get out of control at peak hours and there is no objective data to staff by time slot.
De la necesidad al impacto
Una secuencia que se puede evaluar.
Presentamos el reto, la intervención y el resultado sin ocultar el contexto operativo.
The solution
We install people-counting video analytics and heat maps on the store cameras to measure occupancy and the busiest zones in real time, with electronic billing integrated through Macrobills.
The result
Occupancy and customer flow measured in real time, data-driven staffing decisions and shorter queues at peak hours, with the whole billing operation centralized.
Siguiente caso de éxito
Lleve estos resultados a su operación.
Cuéntenos el reto y definamos una implementación con impacto medible.
Más implementaciones
Otros casos de uso.
Explore aplicaciones en otras industrias y procesos.
01
Event detection in road concessions
Road concessions operate hundreds of cameras but without real capacity to detect critical events in real time: stopped vehicles in lane, wrong-way driving, pedestrians on the road, objects on the roadway or accidents go unnoticed until someone reports them manually.
Leer caso →02
Vehicle access control with computer vision
Industrial plants and warehouses require strict vehicle access control, but traditional systems (cards, booths) are slow, error-prone and create queues at peak hours without real traceability of entries and exits.
Leer caso →03
Real-time logistics operations monitoring
Logistics companies need to know where their vehicles are, in what condition, whether they follow planned routes, whether there are detours or unauthorized stops, but the information arrives late and fragmented, preventing timely decisions.
Leer caso →