SMS Storetraffic
Smart, efficient, and anonymous People Counters & Analytics for the real world.
Our solution allows for simple deployment, capture, and analysis of the number of people that enter a physical location. Optionally we also capture and report occupancy in real-time.
We help Retailers, Libraries, Casinos, Universities, Places of worship, Office buildings, and other industries to analyze and take action on their people traffic trend.
For Retailers, we offer a specialized package to measure Performance on Traffic, including Conversion Rate and Service Levels. Combining POS data and staff data is easy with our direct integrations. Our Retail Equation simulator allows users to run simulations to plan sales improvement. It is also extremely beneficial as a learning tool to understand the relationship between traffic, staffing, conversion rate, and good quality service.
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Process Street
Process Street is an AI-powered compliance operations platform that automates complex workflows, enforces standards, and tracks audit data in real time. Teams use it to create structured SOPs, assign tasks, collect data, and monitor execution with intelligent oversight.
From onboarding and audits to vendor management and document control, Process Street ensures every step is followed and every action is logged. Built for regulated industries like financial services, healthcare, and manufacturing, it supports frameworks such as ISO, SOC 2, SOX, and HIPAA.
With role-based permissions, audit logs, and powerful integrations, Process Street replaces static documents, spreadsheets, and manual processes with a single automated system of record. Use AI to streamline approvals, catch risks early, and generate audit-ready evidence.
Trusted by teams at Cargill, DoorDash, Farmers Insurance, and Hartford Healthcare.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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