By negating the need for actual contact details, remarketing online allows a business to maintain this all important avenue of contact with those who have shown any interest in their goods or services.

What if this approach could be reversed; what if certain aspects of the online world such as remarketing could be applied in real life, in real time? Well, Foresense Technologies has actually achieved this.

Now. Today.

Foresense Technologies have developed a platform to empower brick and mortar stores with the pinpoint accuracy of online marketing.

A global leader in real time presence detection AI and behavioural data analytics technology, Foresense brings traditional ways of thinking about online behavioural data and remarketing into real world settings.

For decades now, behavioural data has been collected and analysed in the virtual world in minute detail.

Bounce rate. Dwell time. Impressions. Unique and return visitors. Session duration. All of these small parts of information combine to form a highly detailed body of knowledge that can improve strengths and address weaknesses in the online space. Using smartphone technology and proprietary sensors and AI systems, Foresense applies these types of highly specific parameters into the bricks and mortar physical world - a real- time quantification of human behaviour at any site in its day- to-day operations to provide invaluable insight supporting commercially important decisions and increase revenue at low investment.

And it allows accessibility in real time so highly-informed, proactive decisions can be executed as trends are actually emerging.

Foresense monitors and logs individual customer behavioral activity and builds a detailed user profile of their time in-store.

It can identify customer characteristics such as if the customer is a new or return visitor and interaction time spent with staff.

Because the platform is accessible in real-time, additional staff can be deployed when and where they are needed most in specific areas to ensure customers are not left unattended or waiting excessively – or if they are about to leave the store without purchase.

And if a customers does leave the store without making a purchase, detailed AI behavioural analysis can determine reasons as to why from logged data parameters.

The platform can also use customer data for tailored advertising messages on the smart phone screen or via instore digital signage and integrate with loyalty and rewards programs and membership and customer relationship management software.

In this way, highly appropriated messages can be sent to store visitor in-store and after they leave.

Membership sign-ups for new unique visitors, invites to mailing lists and social media channels, discount incentives for those who show signs of immediate intent to purchase, reminders of items they were looking at, sale catalogues – the exact same tactics that online remarketing employs can be replicated in real world settings.

And with Foresense proprietary AI platform, the whole process is automated based upon in-store individual behaviours.

With online remarketing such a proven success in today’s retail world, it’s replication with Foresense in real world settings is poised to revolutionise the retail world of tomorrow.

Learn exactly how many people use local parks and playgrounds each day, and how far they travel to access them.

Sensors can be placed at arterial road entry points to determine how far people are travelling to access any given facility. In this way learn if closer facilities are being bypassed to access better equipped parks and playgrounds further from home, for example.

Survey local road traffic between points for a more intelligent consideration of traffic calming methods or ways to improve traffic flow.

Discover the most popular beach, lake or river access points to more efficiently allocate funding for carpark and path construction and maintenance – and to determine fees for seasonal food service vans and pop up retail, for example.

The technology also presents a wide range of possibilities and opportunities for smart building applications including local arts and cultural facilities such as auditoriums, theatres museums and libraries.

Breakdown the entire visitor experience from total time spent at the facility – and in individual sections. Analyse and streamline the traffic flow from entry points right through to queuing and transaction times.

Identify unique characteristics such as if a person is a new, unique visitor to determine visitors from out of town.

The platform can also use visitor data for tailored messages on- screen or via close proximity digital signage for advertising or informational purposes – for example tell town residents of local events and emergency, or let tourists know of must-see local attractions, and incentivise to visit on-site shopping, restaurants and cafes.

In a post-COVID world, Foresense can be used to monitor and control the number of people gathering in any given area to address crowd density regulations and even identify people who have not been recently received negative COVID testing where such laws and applications have been introduced.

The technology can even be used for security and safety concerns to identify suspicious loitering or access to a restricted area, or when a person is not moving as normal across any given space, indicating collapse or injury.

Foresense can improve upon existing alarm and video surveillance systems and address shortcomings such as the need for constant monitoring and the ability for seasoned criminals to bypass them altogether.

And because the platform is accessible in real-time, security staff can be deployed or police called upon when and where they are needed most to ensure timely response and the best chance of suspect apprehension.

By coupling detailed data sets obtained with the proprietary AI system, highly specific analytics can be utilised to move town planning forward into a new era beyond outdated predictive modelling and assumptive planning methodologies.

With highly specific information readily at hand Foresense Technology determines data driven actions to constantly improve efficiency of operations – and improve live ability and cost efficiency in the smart towns of tomorrow.

Food spoiling and wastage is a major global issue where many have only limited access to fresh food and there are 870 million people today who are undernourished.

Globally every year 1.6 billion tons of food go to waste, representing a value of $1.2 trillion.

Opportunities for change

With food so integral to our very being and with a global market of $58 billion the potential in food supply and logistics is massive.

The buzz-sectors in recent years have largely been limited to consumer internet and financial technology industries.

Astute commentators view agricultural technology as the most critical technology that needs high levels of investment over the next 20 years to ensure desired outcomes in research and development to fast-track implementation.

This is born of the fact that the global need for food has reached a critical point in history.

Put simply, by 2050 there will be 9.7 billion people on the Earth.

At current production levels with current production and distribution methods a mass food shortage is looming.

With current limits on global transport mobility, COVID-19 has only served to exacerbate this.

Efficiency at all stages – from farm to plate – must increase.

And fast.

Industry figures suggest farms, manufacturers and consumer-facing businesses combined contribute 58% of all food wastage.

At the farm improving yields and reducing wastage has always been an elusive objective.

In transport, stock traceability and monitoring can limit delays and mitigate loss of produce due to spoiling.

Food retailers must prefer suppliers who provide the freshest perishables possible to minimise their own stock wastage.

Each link in the food and agriculture supply chain to a certain extent depends on the best possible practices of the previous link to ensure the end-of-chain shelf life is maximised as much as possible.

The Produsense solution

Produsense is poised to make key parts of the retail food chain safer and more efficient through innovative proprietary sensor technology.

Produsense sensors are integrated into all stages of commercial food production, processing and distribution, automating logging and monitoring to streamline procedures and improve safety.

Combined with a proprietary AI software platform, a highly detailed data set of how, when, and where stock is at any point in time can be easily accessed.

Over time, aggregated trends are analysed to identify areas for improvement and increased efficiencies.

All stock activity is electronically recorded to track and trace the journey from farm to plate.

At the farm, trace livestock and crop development and movement to capture real time inefficiencies to reduce time to harvest.

During transport, accurately log inventory count, package tracking and unique user data for who is handling stock at any point in time.

The sensors specifically log temperature control dynamics including open/shut time of transport packaging and ambient air temperature to log any food safety issues and raise alerts where possible contamination may occur – or has occurred.

With the many stages and many different peoples involvement in the processing and distribution phase of foods many opportunities for human error and mistakes arise.

If any part of the chain fails the ultimate shelf-life of any perishable product can be greatly diminished.

Produsense addresses many of these potential failures to keep food fresher and safer in transport, with higher yields at the farm.

It allows farmers to ensure the highest quality of produce at the outset of the food chain journey, the transport and logistics phase to be carefully monitored, and the end retailer to have the confidence of the highest possible quality for the customers table.

For food in the 21st Century, Produsense makes the most sense.

While using specific smartphone app software for smart city applications is common, Foresense uses the smartphone hardware itself as a beacon to collect highly detailed data sets on how people act and interact in and with their immediate environment to provide real-time analytics of foot traffic inside and around any physical location.

In a similar way to how behavioural data is utilised online through careful analysis of aspects such as dwell time, session duration, and unique and return visitations the Foresense platform collects data through AI sensors integrating with visitors’ smartphones allowing accessibility in real time so highly-informed, proactive decisions can be executed as trends are actually emerging.

The technology presents a wide range of possibilities and opportunities for smart building and city applications to really drill down how different groups of people including workers, shoppers, students and tourists are using transport, recreational and cultural facilities, and educational, commercial and retail spaces in the city and its open areas.

Understand how much time people are spending in a specific area and the breakdown of their time spent across different areas.

In smart buildings, discover exactly how people navigate and use specific spaces such as commercial, retail and restroom zones.

In residential buildings communal areas such as foyers, gyms and pools can be monitored in detail, for example.

Breakdown the entire visitor experience from time spent on public transport or in the car through to their flow on foot through the city; the places they visit and how long spent at each individual stop.

Identify unique characteristics such as if a person is a new, unique visitor – or only visits 9 to 5, Monday to Friday, or just on weekends and nights, for example.

The platform can also use visitor data for tailored messages on- screen or via close proximity digital signage for advertising or informational purposes – for example tell office workers of public transport issues as they arise or let tourists know of lunch specials or department store sales.

Aggregated data can be used to establish peak demand times for specific sections within the city – or within any given building or public facility – to lessen wait times to keep movement flowing and alleviate congestion.

In this way Foresense can assist in commercially based decision making by identifying areas where demand exceeds supply to justify the purchase of new equipment or the construction of new facilities and places of business.

In a post-COVID world, Foresense can be used to monitor and control the number of people gathering in any given area to address crowd density regulations and even identify people who have not been recently received negative COVID testing where such laws and applications have been introduced.

The technology can even be used for security and safety concerns to identify suspicious loitering or access to a restricted area, or when a person is not moving as normal across any given space, indicating collapse or injury.

Foresense can improve upon existing alarm and video surveillance systems and address shortcomings such as the need for constant monitoring and the ability for seasoned criminals to bypass them altogether.

And because the platform is accessible in real-time, security staff can be deployed or police called upon when and where they are needed most to ensure timely response and the best chance of suspect apprehension.

By coupling the data sets obtained with the proprietary AI system, highly specific analytics can be utilised to move city planning forward into a new era beyond outdated predictive modelling methodologies.

It progresses the approach to developing a smart city further than a series of singular clever concepts such smart traffic lights and smartphone payments systems into a more highly connected data driven network between individual visitors and the city itself.

With highly specific information readily at hand Foresense Technology determines data driven actions to constantly improve efficiency of operations – and improve liveability and cost efficiency in the smart cities of tomorrow.