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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Process Street is the Compliance Operations Platform built for teams that need to move fast without breaking standards. It combines document control, workflow automation, and AI-powered oversight in a single system so every policy is followed, every step is tracked, and every audit is effortless.
Unlike legacy GRC tools or static SOP docs, Process Street turns compliance into a living system. Policies are documented in governed, version-controlled Pages. Those policies are executed through dynamic workflows with built-in task assignment, approvals, and forms. Every action is logged, monitored, and optimized in real time by Cora, our AI compliance agent.
Used across industries like financial services, real estate, healthcare, and manufacturing, Process Street helps teams automate employee onboarding, streamline audits, manage policy updates, enforce vendor reviews, and run critical processes at scale.
No code required. No micromanagement. Just proof that work gets done right, every time.
Companies like Salesforce, Colliers, Drift, and Hartford Healthcare trust Process Street to eliminate busywork, improve operational visibility, and reduce compliance risk across the business. With native integrations, role-based access, audit trails, and ISO-aligned workflows, it is the platform that makes compliance a competitive advantage.
From onboarding to audits, Process Street is how high-stakes teams enforce standards, automate execution, and prove compliance by default.
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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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TraxSales
TraxSales is a sophisticated system for retail traffic intelligence and sales accountability, specifically engineered to assist businesses in precisely measuring customer interactions and enhancing performance without the need for increased foot traffic. By utilizing a camera-based people counting mechanism alongside sophisticated reporting tools, it captures time-stamped images of every individual who enters a store, thus establishing a reliable record of each potential sales opportunity. The system empowers managers to analyze and refine the collected data by filtering out entries that do not represent customers, such as staff members or delivery personnel, which leads to accuracy in traffic counts that surpasses those of conventional estimation methods. Furthermore, it seamlessly integrates this validated traffic data within a robust analytics framework, allowing businesses to monitor essential metrics like conversion rates, revenue per guest, staffing effectiveness, and trends in long-term performance. The platform also generates comprehensive reports detailing traffic patterns on an hourly, daily, and historical basis, thus equipping companies with the insights needed to optimize their staffing strategies effectively. By leveraging these insights, businesses can make informed decisions that enhance their overall operational efficiency.
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