One of the most urgent issues we encountered during our research-phase was by far the unsave transportation of groceries. It is a very common problem that food inside thermo boxes is leaking during the transportation. This may happen out of various reasons, like bumpy roads for example. Also, food is often not appropriately packed up by the restaurants, this goes especially for soups. Since most of the drivers employed by these delivery companies are using bikes, the problem unfortunatly appears at a very high rate. This is why we focused on the question of ‘how might we improve food transportation’.
We had a wide and rather creative range of ideas to solve this problem. It was important that it is not only efficent, but also realizable for companies to use. So we came up with a particularly save and easy solution to fix this problem. We used air cushions on the inside of the boxes. With a switch on the outside of the thermo box, it is possible to inflate the air cushions. This way it is not possible that food flips and leaks inside our box. Moreover it is a very cost efficent solution and even a common thermo box be uprgraded with our prototype. Using this inflatible air thermo boxes not only improves the looks and condition of food delivered, it also pleases the companys and customers, since it decreases the number of rejected delivers. In the end, this investment would be a long term solution which provides a more satisfying customer experience.
After a thorough analysis of our research data we came to the conclusion that the info point at the Münchner Freiheit has a lot of potential. However only few people have actually used it due to its underwhelming service offer. Therefore we were concerned with “How might we improve the functionality of the system?”. Our final concept “Info Point of Love” represents our answer to this question. It is an evolution of the original Info Point thanks to the addition of further functionality such as search, navigation and connectivity.
A search bar at the top of the screen allows the user to search for street names or public places. After hitting the search button a navigation feature pops up. It displays the fastest route to the destination by public transportation. The new visualization of information include popular and important spots. In addition the user may choose from several transportation means to get directions. At the bottom of the screen a connectivity feature is visible which provides three options to download the directions to a connected phone without the need of an app to be installed.
This combination of features takes non-app users into account and should attract many new people because it allows e.g. foreigners to get directions without the need of any mobile-data or phone at all. Further the visualization helps users to get a better understanding about the surroundings.
The next step for this project would be to set up these info points in all mass-transit places around Munich. This ensures that the “Info Point of Love” can help as many people as possible. Additional features like gesture control (for better hygiene) could be added over time as well.
After extensively reasearching car-sharing and car-rental services, we discovered one common issue that really stood out. After renting the car it always had to be manually checked up for any damages by an employee, possible damages have to be documented by hand and the whole process is very time consuming. Therefore our group came to the conlusion that the best way to solve this issue is to automate the whole damage detection process.
Eventually the idea of a 3D scanner that is placed at the stations of the car rental services seemed the most plausible one. Before and after renting the car, it gets scanned and any damages can be instantly detected and documented. Obviously the providers would not only save a lot of time due to the automatization but they would have more reliable documentation and actual proof in case of damages actually being caused by a customer. But it would also benefit the customers as they can’t be wrongly blamed for causing damage anymore.
Our next steps would be to build the scanners, which is possible with today’s technology and install them at the most frequented car rental stations so the expenses for the scanner pay off, and test out the whole system. After that it could be expanded to maybe transportable scanners so the cars can also be scanned when not at the station which would be highly beneficial for car-sharing services.
Asking the central question “How might we improve the organisation of organisational data?” and performing extensive user and market research, our team took on the challenge of creating a video-prototype that showcases the advantages of using a Customer Relation Management-system to keep track of potential deadly allergies of customers.
By default, a lot of social transportation providers do not own or use CRM-systems but rather rely on Excel-sheets and paperwork to organize corporate processes. Usage of computer-based systems are often frowned upon, as they convey the image of clunky, maintainable systems, that can only be serviced and used by professionals.
By providing an easy to use and intuitive user-interface, we aim to reverse this view upon CRM-systems.
While there are already a lot of general purpose CRMs on the market, we failed to locate a systems specifically tailored to social transportation providers and their customers. Also, providing the customers with a direct access to the CRM seems to be unheard of – even though this approach provides undeniably advantages to all parties.
Our prototype is using a state of the art user interface which adapts not only to the screen-size and -device of the user, but also to the user itself: It knows about different roles that users of the system can have (a back office worker, a driver, a customer, …) and presents him only with the appropriate selections.
By also enabling third parties, like the families and partners of serviced customers to access the CRM, we also leverage the power of their knowledge about the patient. While the person concerned might inadvertently not be disclosing all relevant information (not out of spite, but just perhaps he forgot), the family can do so. This sheds a new light on the name of our prototype – WeCare: By leveraging the collective knowledge, it enables us to care even more for our patients and customers.
This is the underlying problem we discovered from our first approaches to package delivery via drones. Multicopters are usually associated with military and espionage and we try to change this by highlighting an entirely different field of use.
Also, by branding our multicopters as Kolibri, we hope to improve the initial impression of our product.
-Drones – not only for taking lives-
Our videoprototype displays the contrast between current use of drones and medical urgency as one of the future possible applications. With multicopters, we hope to improve the transportation of e.g. organs or medicine in general and show other fields where multicopters can be used.
The heart, savely stored and cooled in a specially crafted box, is placed on a highlighted area on the windowsill – the “Bird-Nest”, where the multicopter “Kolibri” can easily reach it. The multicopter is called by pushing a button.
The benefits from improving the public opinion on multicopters are the following:
More people will be interested to use multicopters in various scenarios, leading to legal changes which will finally make using multicopters for transportation possible! This kind of delivery is timesaving and highly economic, it decongests the traffic on our jammed streets and ensures fast shipping even to remote cities or other hard to reach areas.
The next step is to ensure a legal foundation for the use of multicopters, as the status quo differs a lot from country to country and it’s simply not stated clear enough what is allowed and what is forbidden.
Initially, we tried to identify potential access points to improve rail replacement services in Munich. User research indicated that rail replacement worked well enough in cases when it was planned beforehand, but not so much in unprepared situations.
While the public transportation systems suggest alternative routes if a problem arises in downtown Munich, passengers in the suburbs often do not have alternatives other than to wait for an indefinite time. Closing in on the user group of people who are stranded at a train station without any clear option to continue their trip, our group developed the concept of an app to enable group travelling.
The app registers the current location and the destination of each passenger. It then groups people together according to this information, striving to cluster destinations in the same proximity. After organizing a meeting spot, its further features allow the group to collectively organize private transportation.
The app offers different variables to be influenced by users:
How close potential group members should be located (in meters or kilometers)
How close group members’ destination should be located
Which mode of transportation should be used (e.g. taxi, different car sharing companies,..)
The next step would be to integrate the different service providers in the process to enable quick transportation and address the question of financing the trip via the public transportation ticket.
The benefit of this app is the cooperation of different transportation services to enable efficient travelling, not only in cases of emergency, but also in any other case when there are more travelers than means of public transportation.
From our interviewees, including Call-a-Pizza, Amazon Fresh USA, Bento Box, Bonjour Munich, Isarquelle and others, we discovered a very common problem amongst food delivery services.Theyhave, depending onseasonandregion,widely fluctuatingorders, soit is not worth to recruit more employees permanently.
This causes them to lose customer appreciation and satisfaction, while losing out on possible income.
The Approach of Dynamic Food
Our solution is based on people who are willing to offer their services as a driver.They can be booked by the food delivery services in short notice with our mobile network application.
The contract details are dynamically negotiated via the booking procedure.
The Benefit of Dynamic Food
The deliveryservicesare more profitableand agile, allowing them torespond more quickly tohighordervolumesandcan compensate personell shortage by using our mobile network application.
The daily use of smartphones and tablets is an advantage for our service, because it allows fast and reliable booking of additional drivers.
The Next Steps of Dynamic Food
One couldintroducean evaluation functionforservice provides, which can evaluate externaldriveraccording toquality, experience andknowledge of human nature.It would be possible to expand the existing service to not only food deliveries, but transportation in general, such as running errands and package delivery.
We discovered a lack of personal relationship between the customer and the delivery service.
Our product IndiVood tries to improve the relationship by personalizing the food presented to the customer.
The goal is that the costumer comes back to his new found favorite delivery service.
By syncing your fitness and personal data with our application we are able to generate a personal profile specifically for your diet.
With this profile we can recommend a suitable choice of food fitting to your life. Thanks to IndiVood untypical target groups for delivery services can be reached.
They gain the chance to seperate from the national players and profile themselves towards the customers.
Even small companies can use this concept, optimize the ordering transactions and provide better content for the customers.
With IndiVood new opportunities for advertizing and partnerships arise. Cooperations with gyms or health centers are self-evident.
Conclusively we want to emphasize that our concept is not only applicable for the personalization based on the score of fitness-data.
Of course the idea is adaptable in a further context. At this point it’s also imaginable that the user also receives suggestions based on his allergical fettle. It also seems obvious to not only offer our idea to customer services – there is a widespread scope for application situations.
Let’s summarize: The concept is a win-win situation for both, the customer and the provider. Our app video prototype points it out impressively:
We are looking forward to integrate our concept in the impersonal online world.
Never rust, embrace that change in a direction of customized proposals.
It’s worth it!
In the past few days we came to the following insight:
„How might we use live data from the destination to select the best route?“
The service is based on an app that integrates data given by users with live-data on route and destination (like scanning free parking spots) to determine the most efficient means of traveling based on the customer‘s preferences and the enviromental conditions.
For this to work, the customer needs to provide information on which services he is already registered with. Based on the users needs like cost and time efficiency, comfort etc. the system suggests a route and possibly a combination of different services. It will guide the user to a parking spot and inform possible connecting services. For instance the system might suggest the use of a taxi, if no parking spots are available at the destination, combined with car sharing to reduce the overall cost of the trip. This use case is also illustrated in a video:
This service allows the user to save time and money. He can scale his preferences and the app might even suggest services the user was not previously aware of. Most importantly, it will take the hassle out of inner city travel. Especially the search for parking spots can be very stressful.
As mentioned, our system requires live data on traffic and available parking spaces. Means to gather such data are currently being researched by various institutions. If our servcie where to become real we have to collaborate with these entities as well as consolidate input of various data sources and of develop the actual algorithms. Further improvements to the service could also involve parking spot reservation.
After finishing our field study and making use of different ideation methods, we decided to make damage detection and documentation for car rental services easier. During our field study we found out, that manual damage detection is a very time consuming and error-prone step, because car renters don’t just not tell about bumps, but even try to hide smaller ones.
That’s why we want to automate the process completely. Doing that we do not only save time, but increase also traceability of damage, in order to avoid renters complaining about paying for damage which might have already been there before they rented out the car.As you can see in our storyboard , a 3D car scanner would detect damages, ask the operator to recheck marked areas and in case of a a bigger defect, it could even adjust fleet management.