Seeking partners to develop integrated planning and virtual trip assistance applications | Open Innovability
Challenge Expiration Date: June 27, 2018
Reward: Partnership + $5,000
Enel, through this challenge, is looking for trial solutions in order to define new experimental business models aimed at identifying a partner that can develop a web-based or smartphone application for real-time natural language cognitive and predictive virtual assistance to help customers in pre-trip (planning, purchase), on trip (e.g. in case of disruption to optimize the planned journeys) and post-trip (e.g. suggestion of customized ancillary services), in order to support integrated (multimodal) journey planning.
Seamless and “frictionless” mobility in cities is a key challenge of current societies. Particularly challenging is the scenario where disruptions occur and the citizens need an alternative route to get to their destination with minimum delays and/or impact. Currently, in such situations, the burden is entirely put on the citizens to organize themselves and look for those alternative solutions that will allow them to complete their journey.
Various applications (web based or smartphone) partially address these needs, but to the Seeker’s understanding, none has the “full package”. The Challenge is even greater for players in this field if one wants to give citizens a tool that:
- Assists them in real-time during the entire lifetime of the journey (pre-trip, during the trip/disruption, and post-trip, and
- Includes multi-transportation modes in the initial planning of the journey and real-time assistance
The Challenges are well-known in the industry and include:
- Lack of integration between mobility/transportation alternatives
- The number of operators and databases to have access to is high and the real-time request implies a lot of work
- Data transport heterogeneity and lack of transport data standard/protocol, that cause problems in real-time access and integration
- Customer reluctance to pay for alternatives, as well as different customer profiles that influence their needs and favorite choices
- Strong complexity and variety of the possible concurrent disruption events (e.g. many possible different traffic disruptions, many possible transportation solutions, many kind of customer profiles), is very hard to predict efficient and personalized alternative routes
This is an electronic Request-for-Partners (eRFP) Challenge; the Solver will only need to submit a written proposal to be evaluated by the Seeker with the goal of establishing a collaborative partnership.