What people actually ask.

Yes. With Lemon Neural you can identify behaviour patterns that point to a long wait or to inactivity in a queue, so you can look after customers early and efficiently.

Our artificial intelligence and computer vision are built to:

· Detect long waits: the system monitors how people move and, if a customer stays still in a waiting area or a queue beyond a time threshold you set, Lemon Neural picks it up.

· Raise instant alerts: when it detects an excessive wait or possible inactivity (which could mean a customer needs help but isn't asking for it), the system can raise a real-time alert for your staff.

This lets your team step in early, cut unwanted waiting times and offer help before the customer's frustration builds. In this way Lemon Neural does a great deal to improve customer satisfaction and operational efficiency in your physical business.

Lemon Neural doesn't assess your staff's individual productivity directly, because what it looks at is the behaviour of the public and how efficiently the space works.

What our artificial intelligence and computer vision do give you is objective data and key metrics about footfall management and service, from which you can infer and indirectly improve your team's effectiveness:

· Analysis of waiting times and queues: it monitors metrics such as average waiting times, queue length and how quickly people are served at specific points (tills, information desks and so on). It can detect whether waiting times are consistently high in certain time bands or in particular areas.

· Spotting where to improve: if the data shows persistently long queues or customers waiting too long, that is a clear signal to look at whether you need to allocate staff differently, give the team more training, or review how tasks and processes are distributed.

· Better allocation of resources: by understanding demand peaks and what your team can really handle, Lemon Neural helps you plan shifts more intelligently, assign staff to different areas or open extra service points.

· A better customer experience: staff effectiveness shows up directly in customer satisfaction. By cutting waiting times and speeding up processes on the strength of Lemon Neural's data, you make the shopping experience smoother and more positive.

So Lemon Neural gives you objective data which, combined with what you know about your team and your processes, lets you make informed decisions to improve overall operational efficiency and the quality of the service your staff give.

Yes. Lemon Neural is a key tool in managing emergencies and evacuations, because it gives you critical real-time data on how densely packed people are and how they are moving across your whole space.

In an emergency, that instant visibility lets security and crisis management teams act early and efficiently:

· Identifying risks quickly: it makes it easy to spot straight away where people are heavily concentrated, or which evacuation routes are starting to clog, so you can step in before things get worse.

· Real-time monitoring of the evacuation: you can follow the progress of an evacuation minute by minute, making sure areas are clearing properly and that the exit flows are safe.

· Quick, informed decisions: with accurate data on the situation, those in charge can make fast, strategic decisions about which way the evacuation goes, how to allocate resources or whether to open alternative routes.

Having that real-time visibility through Lemon Neural can make a significant difference to people's safety and to how efficiently you respond to any kind of emergency on your premises.

When a customer comes into your shop but leaves without buying, something in the route, the experience or the surroundings hasn't worked. Knowing what went wrong is the key to improving it. But asking them directly rarely gets you anywhere. So you need a tool that watches the behaviour without invading anyone's privacy.

Lemon Neural analyses the visitor's whole journey: how long they spend in the shop, which zones they walk through, where they stop, whether they interact with products or head straight for the exit. If a customer leaves without stopping at key decision points, without engaging with promotions, or after a long wait in a queue, those patterns can point to friction in the experience.

With that data you can spot invisible obstacles, reorganise key zones, improve how products are laid out or adjust service times to lose fewer sales opportunities.

Knowing which products don't catch the eye matters just as much as identifying the popular ones. Traditionally this was measured by sales, but sales don't always reflect how customers interact with a product.

With artificial intelligence it is now possible to measure how visitors really behave:

· Do they stop in front of the product?

· Do they look at it?

· Do they touch it?

· Do they pick it up and put it back?

· Do they walk on without engaging at all?

Lemon Neural analyses these specific actions in real time, with no sensors and no changes to the fittings. So you can know which products customers ignore, and make decisions from data to improve their visibility, their position or even how they are presented.

Watching by eye whether a customer stops in front of a product or a shop window isn't enough. What matters is measuring it precisely and continuously, to find the real patterns of attention.

Artificial intelligence lets you do it with no sensors and no surveys.

Lemon Neural, for example, analyses how people behave in order to identify:

· Who stops in front of a product or shop window.

· How long they stay looking.

· Whether there is any interaction (touching, picking the product up, and so on).

· Which zones get more attention and which get less.

This data lets you understand which elements generate the most interest, whether a promotion is working, or whether your shop window needs adjusting. All of it anonymous, GDPR-compliant and without getting in the way of the customer's experience.

Yes. There are systems based on artificial intelligence that detect whether a customer stops in front of a screen or display, how long they stay and whether they interact with what is shown.

With something like Lemon Neural you can know:

· How many people come over to or look at your displays.

· How long they pay attention to the content.

· Whether there is physical interaction (touching, taking a leaflet, pressing a touchscreen, and so on).

· What kind of audience interacts most (age, gender, groups…).

This lets you assess in real time how effective your promotional elements are, sharpen your campaigns at the point of sale and tailor the messages better to how customers behave.

All of it is done respecting people's privacy, without identifying anyone, and in full compliance with the RGPD.

Knowing whether your advertising screens are doing their job shouldn't rest on hunches or on final sales alone. There are now systems based on artificial intelligence that let you measure their real impact on customer behaviour.

With tools like Lemon Neural you can know:

· How many people actually look at your screens.

· How long they pay attention to the content.

· Whether the screen influences their route or their buying behaviour.

· Which demographic profiles interact with them most.

With that objective data you can judge whether the content is attractive, whether the location is right and whether your investment in visual communication is paying off.

And it is all done with anonymous analysis, respecting the privacy rules in force.

Prolonged loitering, unusual movements or staying in sensitive zones with no clear reason can be early signals of suspicious behaviour. Spotting them in time is the key to heading off incidents and improving security, without intrusive surveillance.

With something like Lemon Neural you can:

· Detect loitering patterns or unusual lingering.

· Get alerts if someone stays too long in critical zones (entrances, restricted access points, display cases).

· Analyse unusual routes that don't follow the normal visitor flows.

· Add real-time visual or audible alerts so you can act before something happens.

All of this is done with anonymous analysis and respect for privacy, without recording or identifying people.

Yes. There are now intelligent surveillance systems based on artificial intelligence that detect suspicious behaviour without security staff having to watch constantly.

These systems analyse how people behave in real time and detect unusual patterns such as:

· Staying a long time in sensitive or little-used zones.

· Repetitive or unusual movements.

· Entering restricted areas with no visible authorisation.

Something like Lemon Neural can raise automatic alerts in these situations, and connects easily to visual or audible alarms. All of it with completely anonymous analysis and in compliance with privacy rules.

It is an effective way to strengthen preventive security without adding staff or spoiling the customer's experience.

Protecting valuable objects in places such as museums, galleries or exhibitions takes more than traditional guarding. Artificial intelligence can now detect in real time whether someone gets too close or actually touches a sensitive object.

Systems based on computer vision can:

· Mark out virtual zones around the objects on display.

· Detect hand movements or other gestures close to the object.

· Raise visual or audible alerts if someone crosses that virtual limit.

Lemon Neural offers this kind of function with no physical sensors and no continuous human involvement. Its analysis is also completely anonymous and complies with data protection rules.

Ideal for strengthening security in exhibitions, without affecting the visitor's experience or invading their privacy.

Yes. Artificial intelligence lets you set up automatic real-time alerts when a person enters an unauthorised zone. This kind of technology no longer needs physical sensors or constant human involvement.

Systems based on machine vision, such as Lemon Neural, detect precisely when someone crosses a virtual line or enters a restricted area, and raise immediate alerts that can be:

· Audible (alarms, messages over a loudspeaker)

· Visual (warning lights, screens)

· Operational (notices in the system or automatic actions)

All of this is done anonymously and in compliance with the RGPD, so you strengthen security without compromising people's privacy.

Detecting irregular entry in places such as metro stations or large events is key to cutting financial losses and tightening security.

Artificial intelligence, through computer vision systems like Lemon Neural, can automatically identify when a person goes in without validating their ticket or enters through unauthorised areas. The system can:

· Detect people passing turnstiles or barriers without validating.

· Identify unauthorised entry into areas set aside for staff only.

· Raise immediate alerts and log the event with no manual involvement.

And the whole analysis is done anonymously and in real time, without compromising people's privacy or getting in the way of how they use the space.

Sí, y hacerlo es clave para mejorar la efectividad de tus campañas. Cuanto más sepas sobre quién visita tu negocio (edad, género, si vienen solos o en grupo…), más fácil será diseñar mensajes, promociones o productos que realmente conecten con tu audiencia.

La mayoría de negocios físicos no tiene acceso a esta información sin recurrir a encuestas o programas de fidelización. Pero gracias a soluciones de análisis de video con inteligencia artificial como Lemon Neural , ahora es posible detectar y segmentar automáticamente el perfil demográfico de tus visitantes de forma anónima.

Esto te permite lanzar campañas dirigidas con mayor precisión, adaptar tus creatividades al público real que te visita y evaluar qué perfiles responden mejor a cada acción, todo en tiempo real y sin recopilar datos personales.

Medir manualmente cuánto tiempo pasa cada cliente en un mostrador es ineficiente y propenso a errores. Sin embargo, existen soluciones basadas en inteligencia artificial que permiten realizar este cálculo de forma automática, precisa y en tiempo real.

Lemon Neural detecta:

Cuándo una persona llega al mostrador.

Sí, existen soluciones que permiten monitorizar de forma automática cuántas personas están haciendo cola y cuánto tiempo esperan. Esta información es clave para tomar decisiones rápidas, abrir nuevas cajas cuando sea necesario y mejorar la experiencia del cliente.

Lemon Neural analiza en tiempo real:

El número de personas en cola por caja .

Tener demasiadas cajas abiertas en momentos de baja afluencia desperdicia recursos. Tener pocas cuando el local se llena provoca largas esperas, mala experiencia y pérdidas. La clave está en anticiparse y tomar decisiones basadas en datos reales, no en intuiciones.

Lemon Neural te permite:

Medir en tiempo real cuántas personas hay en tienda.

Saber si las cajas están funcionando con fluidez es clave para evitar cuellos de botella, tiempos de espera excesivos y una mala experiencia de compra. Pero muchas veces el personal no tiene visibilidad inmediata de lo que ocurre en tiempo real.

Lemon Neural monitoriza continuamente las zonas de pago, detectando:

El número de personas en cola .

Las colas son uno de los principales puntos de fricción en la experiencia de cliente. Afectan la percepción del servicio, provocan abandono y afectan directamente a la rentabilidad. Reducirlas no siempre significa añadir más personal, sino actuar con datos.

Lemon Neural monitoriza en tiempo real la formación de colas , su longitud, tiempos de espera y velocidad de avance. Con esta información puedes:

Detectar patrones de saturación en ciertos horarios o zonas.

Las colas largas generan frustración, abandonos y pérdidas de ventas. Pero muchas veces no se detectan a tiempo porque el equipo no tiene visibilidad en tiempo real, y tampoco es fácil medir cuánto espera cada cliente.

Lemon Neural te permite monitorizar automáticamente las colas : cuántas personas hay, cuánto tiempo lleva esperando cada una y si se forman cuellos de botella en momentos clave. Incluso puede alertarte cuando se supera un umbral de espera definido, para que tomes medidas inmediatas, como abrir más cajas o reforzar la atención.

Así, no solo evitas malas experiencias, sino que mejoras la eficiencia operativa y mantienes el flujo de clientes sin fricción.

Tener rampas, ascensores o zonas amplias es fundamental, pero la verdadera accesibilidad no se mide solo por el diseño, sino por cómo se usa el espacio en la práctica. A veces, un local cumple con la normativa pero sigue presentando barreras reales: puertas estrechas, pasillos obstruidos o mobiliario mal distribuido.

Para saber si tu espacio es realmente accesible, necesitas observar cómo interactúan con él las personas con movilidad reducida: ¿pueden moverse sin obstáculos? ¿utilizan las rutas previstas? ¿hay zonas que evitan sistemáticamente?

Lemon Neural detecta de forma anónima la presencia de personas con sillas de ruedas u otros elementos de apoyo, y analiza sus recorridos dentro del local. Con esta información puedes identificar barreras no evidentes, validar la eficacia de tus rutas accesibles y adaptar el espacio para que sea verdaderamente inclusivo y funcional.