Smart, efficient, anonymous People Counters & Analytics to the real world.
Our solution allows for easy deployment, capture, analysis, and reporting of the number people who enter a physical place. Optionally, we can also capture and report occupancy in real time.
We assist Retailers, Universities, Casinos, Places of Worship, Office Buildings, and other industries in analyzing and taking action on their people traffic trends.
We offer a special package for retailers to measure performance on traffic, including conversion rate and service levels. Our direct integrations make it easy to combine POS data with staff data. The Retail Equation simulator lets users run simulations to improve sales. It can also be used as a learning tool to understand how traffic, staffing, conversion rates, and quality service relate.
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AI Sales Rep - Your Next Salesperson Might Not Be A Person at All
Identify and Influence Your Engaged Website Visitors into Sales-Ready Leads – Before You Commit a Single Working Hour.
Lower Funnel, Higher Value Leads: Using our advanced WebID +Person identification technology, we uncover and identify the most engaged visitors to your site. These are the prospects we focus on, ensuring maximum impact for your sales efforts.
- Detailed Prospect Data: We gather 40 points of data about each prospect, including first name, last name, email address, and more.
- Engaged, But Anonymous: These prospects are conducting online research but haven’t met with your sales team yet.
- Crucial Sales Funnel Position: These visitors are deep in your sales funnel, spending time on your key ‘buying pages’ but remaining unknown to you. They are the ones most likely to convert into appointments.
- AI-Driven Engagement: Our AI Sales Rep identifies and gently engages with these visitors, influencing them to express interest. The process is fully automated, so your sales team only needs to engage with the interested leads—your low-hanging fruit.
Leverage the power of AI to turn your website visitors into meeting-ready leads effortlessly.
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PeopleCounter.app
PeopleCounter.app is an intuitive online tool designed to count visitors in real time, monitor occupancy levels, and generate reports from any device. The setup is quick and straightforward, requiring no app downloads, hardware installations, or complex onboarding processes; users simply access the tool on their smartphone, tablet, or computer, establish a capacity limit if necessary, and begin counting entries and exits immediately. This application is beneficial for a variety of settings including venues, events, retail spaces, clubs, schools, churches, buildings, and front-of-house teams, ensuring they maintain an accurate, live tally of individuals present at any given moment. Users can effortlessly tap to register people entering and exiting, keep an eye on current occupancy, prevent exceeding capacity limits, and ensure staff coordination during peak times. Additionally, PeopleCounter.app allows for multi-device counting, enabling multiple users to track attendance from different entry points or areas while maintaining a synchronized count. For events, it functions as an efficient attendance tracker, helping teams keep an eye on real-time capacity, manage guest flow, and gain insights into attendance trends. Its user-friendly interface and seamless coordination make it an invaluable asset for managing crowd sizes effectively.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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