Examples of ambient systems

Ambient systems can be helpful in different industries making the process more direct, personalized, and intelligent.

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Ambient systems in healthcare and retail can enhance patient care, customer experience, inventory management, and much more through technologies such as digital scribing, motion tracking, and personalized recommendations.

  • Hospitals | Healthcare
  • Retail | Restaurants, Stores

Hospitals | Healthcare

1. Digital Scriber

A very common problem can be seen in any doctor’s examination room → Patients face difficulty in digesting and recollecting their advice. It can be due to two key reasons: Firstly, doctors often use medical jargon that is unfamiliar to the average person, and secondly, general patients find it difficult to understand and retain information provided by doctors who are under time pressure.  

We believe this can be easily solved by a simple product: a smart speaker/recorder. The tool would use voice recognition technology to record and transcribe the discussion between the doctor and the patient. The resulting text would then be automatically summarized into a few key points and sent to the patient via WhatsApp or other messaging platforms. This would provide the patient with a concise overview of the key information discussed during the consultation, allowing them to refer to it later and easily implement the recommendations.

2. Motion Tracker

Tracking muscle activity is an essential part of rehabilitation and fitness. Let's consider the example of someone recovering from knee surgery. To ensure proper healing, they need to do certain exercises, and they need to do them correctly. Typically, a physiotherapist or trainer provides feedback and ensures that the person is doing the exercises right. However, there's also a need for a method that can objectively track muscle health and progress over time. The same need exists for people going to the gym. They need a way to track the effectiveness of their workouts and ensure they are doing the exercises correctly.

We believe the solution lies in a wearable device that incorporates sensors and a powerful algorithm running on a server. Thanks to advances in sensor technology, it's now possible to make lightweight devices that can accurately measure motion and other key parameters. These sensors can now accurately sense acceleration, angular velocity, and magnetic rate vectors. EMG and NIRS sensors have also been used to gain data on more complex and micro muscle parameters. These data points combined with the usual health markers including heart and respiration rate can provide an exhaustive information set for the creation of a robust analysis platform.

Retail | Restaurants, Stores

1. Personalization

Brick-and-mortar stores face the challenge of matching the personalized experiences offered by online competitors, hindered by a disconnection between user data and the store's inventory. We believe this can be solved by creating a system that identifies customers and delivers personalized product recommendations based on their preferences and the store's live inventory. This integration creates a more intuitive and efficient shopping experience, combining the immersive nature of in-person shopping with the personalization and efficiency enabled by technology. By removing the limitations of store size, we offer customers an expanded range of choices, ultimately fostering increased customer loyalty and stickiness through enhanced experiences.

This can be enabled by identifying the user, and their preferences as they enter the space and subtly present personalized experience. Apart from apparel, this can also be utilized in general superstores, restaurants, cafes, etc.

2. Dynamic Pricing

A separate impactful use case of ambient computing revolves around dynamic pricing. The current static pricing approach in retail poses challenges as it lacks the flexibility to adapt to changes in supply costs or customer demand, resulting in lost revenue and unmet customer expectations. By implementing a mechanism that utilizes real-time data analysis on various factors such as inventory levels, competitor pricing, and customer preferences. Through advanced algorithms, this system determines the optimal pricing strategy for each product, considering variables like demand, profit margins, and sales goals. This dynamic pricing capability empowers retailers to remain competitive, maximize profits by adjusting prices according to market conditions, and provide personalized pricing for individual products and users, similar to online setups. Additionally, it facilitates efficient inventory management, preventing issues of understocking or overstocking.

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