It is often a very frustrating experience to repair home appliances due to lack of knowledge and skills to identify problems, high repairing costs, and too much hassle related to appliance maintenance and repairing overall. As a result of this, users often replace their devices due to problems that can be fixed with better maintenance and repairing services. The services can provide better user experience with the help of modern technology, such as artificial intelligence, data analytics tools, machine learning algorithms, and representing information about appliances in a more user-friendly way. There is a need for a more efficient way to identify, prevent and fix problems with home appliances. Our solution to this problem is an interactive platform that helps to extend life cycle of home appliances by providing appliance maintenance tips, problem troubleshooting and identification, as well as maintenance tutorials and repairing solutions.

What it does:

Our platform allows manufacturers to provide online maintenance services for their products. With the help of the platform, users can identify issues with their products often without the need for professional visits and fix their devices from home. The platform gathers data from appliances and users while learning to predict potential errors based on the analyzed performance data. The platform conducts troubleshooting of appliances on a regular basis.

The platform is integrated with a website from where owner's profile and appliance data can be viewed. In addition, the platform offers customized services to users in terms of personalized communications channels and selection of maintenance checks.

Our solution is environmental friendly solution in that it reduces electronics waste, allows to make technology more sustainable. User friendly interface with a possibility to communicate with the end users via multiple communications channels.

All in all, the platform helps to increase customer loyalty and brand value.

How we built it:

-Brainstorming by breaking down issue with appliances into several stages
-Selecting the top ideas and validating them with help of mentors
-Brain wolk
-Idea iteration
-Created a business model canvas to clarify our business model
-Tools: Sketch, InVision, Microsoft PowerPoint, pen and paper sketches

Challenges we ran into:

-The type of technology that our solution will be based on. We were thinking first of a mobile app but decided to choose a platform in the end.
-Finding better solutions than existing ones.
-Putting different ideas into one concept required several iterations.
-Elimination of ideas

Accomplishments that we're proud of:

-Our solution integrating the whole journey of a customer facing problem with an appliance
-We built a high-fidelity prototype and user path
-Tested and iterated our prototype

What we learned:

-How to draw a business model canvas
-High-fidelity prototyping
-Customer journey planning
-Requirement gathering
-Implementing design-thinking methodology to a final presentation

What's next for e-Span:

-Testing the prototype
-Validating the revenue model (modifying if necessary)
-Building the platform
-Iterating the concept with user feedback

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