AI-based Retail Traffic Counters (ARTCs)

17 दिसम्बर 2020

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The process of counting store traffic has rapidly evolved over the past few years. ARTCs are AI-integrated cameras that accurately count the store traffic. Usually installed at the store entrance, ARTCs map the headcount of people walking in a store and automatically calculate the exact footfall count.

Thinkpoint a Mumbai based fast growing Retail Analytics organization redefines retail insights by leveraging next-gen technologies like Artificial Intelligence (AI), RFID, Near Field Communication (NFC) and CMS-based dynamic Digital Signage. Advanced ARTC cameras like the ones offered by Thinkpoint integrate an Artificial Intelligence (AI) Engine at the backend and go one step further – they not only provide the accurate count of people visiting a store at any given point of time but also provide the visitors’ demographic details like their gender and age group.

Norway based RetailFlux, is the revolutionary retail analytic platform for brick-and-mortar retailers. RetailFlux provides complete set of retail analytic products with superior accuracy in the form of innovative visualizations. Their product includes People Counting, Heat Map, Shopper Flow, Route Map, Zone Analysis, Queue Monitoring that unlocks the power of in-store video. The solution is engineered using video processing, cloud and big data technologies. More than just documenting what happens inside the store area, RetailFlux uses videos to boost marketing efforts, improve revenues and turn any retail business into a success story. With RetailFlux, retail store owners and managers are able to see the clear picture of their in-store operations, including shopper flow, dwell times, store traffic and category penetration rates. The software’s unique analytics approach enables retail store owners and managers to monitor and assess the effectiveness of their marketing strategies. RetailFlux also helps users identify flaws and glitches in their in-store design and arrangement, devise and execute better product placement strategies and arrange resources to influence and empower in-store shopper actions.

Brazilian startup Decision 6 is a retail analytics platform developer focused on brick and mortar stores. Their analytics solution uses artificial intelligence (AI) and deep learning to track the flow of customers in and out of a store. This information is then used to optimize single store operation and also compare the footfall data among different stores to measure their performance.

With the advent of AI-based Retail Traffic Counters, retailers no longer have to solely depend on their store staff for actionable intelligence. Technologies such as these have time and again proved to be far more reliable when it comes to providing accurate information on customer behaviour that in turn helps retailers take proactive action to improve their stores’ performance.

Credits : Akhil Handa

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  • Birbal kumar Singh
    13 सितम्बर, 2021

    ATM card se filipcard emi soping nahi ho raha hai ....atm ka namber.dalfe hai to not translation a raha hai

  • Birbal kumar Singh
    13 सितम्बर, 2021

    ATM card se filipcard emi soping nahi ho raha hai ....atm ka namber.dalfe hai to not translation a raha hai

AI-driven Architecture

Dear Reader, 
The arrival of modern technologies such as artificial intelligence, machine learning, augmented reality, and more in the health and fitness world has brought a remarkable change in this industry. It has changed the way people used to exercise and keep themselves fit and healthy. Now, a visit to gym or health club is no longer needed to stay fit; these technologies have made it pretty easier to do all those exercises from the comfort of your home. 
Zenia is a popular fitness startup that uses computer vision to develop and deploy an AI-driven fitness trainer. Users can choose from thousands of yoga asanas and do it from the comfort of their home. The AI-based trainer in the app helps them to correct their posture. The company has received huge funding during 2020 that has added to its valuation. 
Aaptiv, the popular fitness startup connects people to a wide range of fitness trainers for home and outdoor workouts. Users can do the wellness sessions provided by trainers on their own without the need for equipment. In short, the app offers a no-equipment workout. Each one of Aaptiv's thousands of workouts, which span every type of exercise and a wide variety of activities, combine the guiding voice of an expert Aaptiv trainer with motivating music. This audio-based format eliminates distractions and provides the flexibility many people require - allowing them to focus on their fitness goals, as it suits them. 
Tonal, the home fitness startup raised a huge sum of $110 million in its latest round of funding. The startup received this funding from the existing investor L Catterton and the new investors Mousse Partners, Delta-v Capital and Amazon’s Alexa Fund along with renowned athletes Michelle Wie, Paul George, Bobby Wagner, and Stephen Curry. With this funding, Tonal’s total funding has reached up to $200 million.Tonal is a home fitness application that focuses on training users smartly. Users can choose a coach-led workout, make their own workout, track their progress and achieve fitness goals. Digital weights,  170 moves with one equipment and adjustable arms are some of the key features of this app. 
Freeletics, the digital fitness firm provides tools to promote and offer mindset coaching, mental strength, confidence, and physical fitness among people. The fitness app uses artificial intelligence to offer its services. This AI-powered fitness app has secured $25M Series B funding led by U.S.-based JAZZ Venture Partners and Causeway Media Partners, with support from KKCG. Freeletics has more than 48 million users in more than 160 countries. 
The modern fitness apps are facilitating all types of fitness, including yoga, meditation, aerobics and other exercises. This growing popularity and use of fitness applications are one of the biggest reasons that investors worldwide consider them profitable and investing huge money in them. 
Credits : Akhil Handa,Manisha Gawle

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