Sleep Analysis App

Analysis the customers' sleep quality to suggest the right matching products.

Sleep Analysis App
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Summary

Airweave Inc. is an innovative Japanese mattress brand that uses no springs or foam. In order to deeply understand their customers' sleep habits and quality, and to suggest the right matching mattress, Airweave wants to have a sleep analysis app for their customers.

The Case

In the past, Airweave developed a sleep analysis app. However, the existing app was challenging to use, unattractive in its display, and not user-friendly. They also struggled to collect and manage end-user data effectively. Therefore, after closely collaborating with our team, they requested us to develop a new sleep analysis app for them.

The Results

Robust Infrastructure

Robust Infrastructure

Utilizing AI & cloud computing technologies, we have built a system capable of collecting and processing large amounts of data, which is robust and is optimized for continuous and widespread use.

User-friendly Apps

User-friendly Apps

Both CRM and mobile apps are developed with user-friendliness in mind, making the software very easy and practical to use.

AI Recommendation engine

AI Recommendation engine

We have successfully developed an AI recommendation engine that suggests the most suitable mattress for each customer.

Safe and Secure

Safe and Secure

Security is always a top priority. Regular cyber security audits are held periodically and with every update.

The mobile app helps end-users check their sleep quality, evaluate their current sleep habits, and gain deeper understanding based on the reports (daily, weekly, and monthly reports). It also assists them in setting an alarm to remind them of optimal sleeping time.
Sleep Analysis App 1Sleep Analysis App 2
The CRM (Customer relationship management) system visualizes the collected and processed data, thereby enabling the recommendation of the most suitable mattress for each user.
Sleep Analysis App 3

Technologies used

odoopythonreacttspostgresqlaws
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