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Overview of Real-Time Store Monitoring

Dr. Jagreet Kaur Gill | 11 January 2021

Real-time Store Monitoring

What is Real-Time Store Monitoring?

Real-Time Store Monitoring plays a crucial role in identifying the most valuable customers for any company. Retail stores have always prioritized enhancing customer convenience, especially in the face of intense competition. Understanding customer preferences and buying patterns is now more important than ever in the retail industry. While traditional in-store retailing treats all customers the same, online retail spaces offer personalized shopping experiences. Retail stores are implementing Real-Time Store Monitoring to create a more successful in-store sales experience. This innovative approach utilizes technologies like Machine Learning and deep learning to provide customers with an unprecedented shopping experience. Shoppers can now skip the checkout lines and simply walk out with their purchases, eliminating the need for billing and waiting in queues. At the same time, store officials gain the power of Real-Time analytics and reduce their reliance on human workforce.

60% of enterprise business leaders say customer analytics is extremely important today, jumping to 79% by 2020 with a key driver being personalization at scale Source - How To Improve Customer Experiences With Real-Time Analytics

The Need for Real-Time Store Monitoring

One of the most frustrating experiences for shoppers in retail stores is waiting in long checkout queues. According to a report by A Garbango, adults spend a staggering 32.89 days of their lives standing in grocery store lines. Imagine how wonderful it would be if customers could simply pick up their bags and leave the shop within moments of making their purchases, without having to endure lengthy queues. Not only would this greatly enhance the shopping experience for customers, but it would also provide store owners with valuable insights through Real-Time Store Monitoring, such as identifying popular items and monitoring stock levels. This would undoubtedly have a positive impact on the economy, as discussed further below.

What are the Benefits of Real-Time Store Monitoring in Retail?

Listed below are the economic benefits of Real-Time Store Monitoring in Retail:
  1. Real-Time Store Monitoring has the potential to eliminate the need for certain store employees, such as cashiers and inventory managers. With the implementation of this technology, retail stores can operate more efficiently and reduce their reliance on human workforce.
  2. Optimized Business decisions.
  3. Gather a wealth of data from the Real-Time Store Monitoring platform and utilize it to make informed and strategic business decisions. For instance, in real-time, identify which sections of the store are experiencing high demand for certain items, allowing for personalized recommendations to shoppers based on AI algorithms implemented in the backend.
  4. Labor savings helps us know the number of labor required to complete tasks.
  5. Time is money. It helps to save time and money.

Real-Time Store Monitoring saves the most valuable commodity. Shoppers' time contributing towards the economy and the retail owners in making quick business decisions.

Read More about The Kubecost – Cost Analysis with Kubernetes Monitoring

How will Real-Time store Monitoring work?

The proposed architecture for Real-Time Store Monitoring will use Machine Learning, as explained below in the figure. Analyze the customers using live streaming cameras fed to Deep Learning algorithms to make customer purchases and inventory updates in Real-Time Store Monitoring.

The key KPI's are as follows:

  1. Customer Traffic Analysis
  2. Staff Performance
  3. Customers Behaviour in the store for future recommendations
Store Monitoring Systems

The solutions needed to the problems in Real-Time Store Monitoring:

  1. Person Detection: Detects the shoppers based on their shopping cart in the backend.
  2. Object Recognition: We need to recognize the items taken by shoppers.
  3. Pose Estimation: Detect the shoppers' movements whether they are putting their items in their bag or just taking to inspect the item.
  4. Motion Sensors and Camera Feed collaboration: To make decisions, we need to collaborate with the camera and motion sensors.

How can Computer Vision help?

These computer vision challenges can be effectively tackled by implementing state-of-the-art Deep Learning techniques and Computer Vision algorithms like Convolutional Neural Networks (CNNs). The training and performance evaluation of these algorithms will be customized to meet the specific requirements of each retail store, considering factors such as store size and customer footfall. By harnessing these cutting-edge technologies, retailers can gain valuable insights and optimize their operations to enhance the shopping experience for their customers.

Explore more about Performance Monitoring Tools and Management

Why is Real-Time Store Monitoring in Retail Important?

1. Streaming Services

High-quality cameras will be required for live streaming of the store's activities and forward feed to the Computer Vision algorithm.

2.The Motion Sensors

Motion Sensors will be required to trigger the activities when unusual behavior is observed that may need a response.

3. Access to GPUs for computing

This is the most important requirement to train any Machine Learning algorithm, and in this case, as the process will be in real-time, high-capacity GPU's will be required to perform the model training and job scoring.

4. Cloud Access for storing the data

Cloud access is required for storing model artifacts and dataRetail Store MonitoringReal-Time Store Monitoring Use-Case:

Nowadays, businesses are looking for innovative ideas to transform their business for better growth and development digitally. Here is the use case of Amazon Go, how they transformed it:

Amazon Go:

Amazon Go has completely revolutionized the retail industry with its groundbreaking implementation of Real-Time Store Monitoring. By requiring customers to install their app for entry, Amazon Go stores offer a seamless shopping experience. Once inside, customers can freely browse and select items without any hassle. The app integrates the billing process, allowing customers to simply pick up the items they want and leave the store. In just 30-40 minutes, customers receive detailed billing information via email. This innovative approach not only enhances the shopping experience but also highlights the immense potential of Real-Time Store Monitoring in transforming the retail industry.

Explore more about Real-Time Analytics Services on AWS

How does Amazon Go increase the shopping experience?

With the elimination of checkout lines and repacking procedures, the Amazon Go store revolutionizes shopping experience, providing customers with a 33% increase in convenience.
  1. Quick access to groceries and convenience goods
  2. Turn-style entry: Consumer enters via Amazon app on the smartphone.
  3. The consumer goes around the store, picks up items, adds to bag, shops like normal.
  4. Consumers Exit

Conclusion of Real-time Store Monitoring

The Real-Time Store Monitoring solution, powered by advanced Deep Learning and Machine Learning technology, offers tremendous value to the retail industry. It empowers retailers to unlock invaluable insights into consumer preferences, buying patterns, and demographic characteristics, all gathered through cutting-edge technologies. As the retail sector continues to evolve, there is vast potential for further development, making Real-Time Store Monitoring even more adaptable and enhancing the shopping convenience for customers. We highly recommend connecting with our experts to explore the full potential of Real-Time Store Monitoring in revolutionizing your retail business.