Dor
Dor is a complete retail people-counting and analytics platform designed to help businesses understand in-store performance through accurate, real-time foot traffic data. It combines proprietary hardware and cloud-based software to capture and visualize how customers interact with physical locations, enabling retailers to track key metrics such as visitor counts, peak hours, conversion rates, and revenue per store. It uses a battery-operated thermal sensor that can be installed in minutes without wiring or reliance on the store’s network, while machine learning algorithms ensure consistent accuracy across different environments without calibration. Once deployed, Dor automatically collects and processes traffic data, making it accessible through a centralized dashboard where teams can analyze trends across locations, compare performance over time, and evaluate the impact of staffing, marketing, and operational decisions.
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RetailFlux
RetailFlux people counting software offers both the lowest cost solution and the most sophisticated analytic technology in the market. RetailFlux people counting solutions are based on our property Artificial Intelligence (AI) technology, called FluxVision. Our FluxVision based counting solution provides best-in-class data quality with the lowest implementation cost possible thanks to its AI core. That is, regular CCTV cameras are transformed into the World’s most accurate and versatile counter devices with the help of our unique AI software platform. The exclusive features brought by RetailFlux people counters include staff exclusion, occupancy and shopping time metrics.
Shopper footfall and conversion reports have become the most important metric in 21th century brick-and-mortar retail management tasks. Visitor counting numbers combined with sales figures reflect the most basic and beneficial KPI, namely conversion rate, in order to evaluate the performance of stores.
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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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InfiViz
InfiViz is a trusted retail visual intelligence partner for global CPG brands.
By combining Image Recognition and AI, our platforms empower retail sales leaders and marketing teams with rich, detailed and accurate in-store execution insights to optimize retail execution, at scale and boost per-store sales by up to 4%.
Get >95% accurate, actionable and real-time execution metrics to improve on-shelf SKU visibility, prevent Out-of-Stocks, and monitor store compliances across 400K + stores.
We have scaled 400,000 stores across 16+ countries.
Top CPG brands like P&G, Nestle, ABinBev and ITC-India today use InfiViz to
Get precision SKU detection in both General and Modern trade stores.
Empower field-force/salesmen/store owners with real-time insights and action plan to fix execution errors on the spot.
Cover 10X more stores.
Improve per-store sales by 2%-4%.
Frequently monitor Store compliance.
Optimize retailer and merchnadizer payouts
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