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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Autonomous AI that engages website visitors with real-time, human-like conversations, converting 15% more traffic into qualified pipeline, while empowering revenue teams with instant, accurate answers to technical, competitive, and product questions at every stage of the deal cycle.
Docket is the leading Agentic Marketing platform that turns inbound traffic into qualified pipeline for B2B revenue teams. Docket unifies, governs, and continuously learns from your organization's GTM knowledge with its proprietary Sales Knowledge Lake™, and activates it through powerful, always-on AI agents.
Docket's AI Marketing Agent engages website visitors through real, human-like conversations, responding to nuanced evaluation questions with expert-grade answers from your approved knowledge, running live discovery to qualify intent, and converting high-intent buyers into qualified leads, booked meetings, and pipeline. Without a human in the loop at each step.
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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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