Ride sharing service for goods
Summary of the entity:
The DIH TERA consortium consists of organizations based in East Croatia, among which there are constituents of the two East Croatian universities and development agencies from all five of the region’s counties, as well as business support institutions and renowned Croatian SMEs with extensive knowledge and experience in the IT sector and digitalization processes. The coordinator is an SME with a not-for-profit clause, established by the Josip Juraj Strossmayer University of Osijek, Osijek-Baranja County, and the City of Osijek.
Summary of the challenge:
The challenge is to develop a data-driven solution/platform that boosts the retail of local produced products to organize a cost-effective distribution, as well as supports the management of transport services.
- Family farms with their own production of products
- Distributors with unused distribution spaces
- Buyers of products
- Public authorities
In Croatia, the local producers, mostly local food family farms, should be able to sell their products locally and in various regions by keeping the idea of “farm to table”. The target is to organize a cost-effective distribution. The distribution channels are cost-intensive, or there is no appropriate infrastructure to ensure the quality of the products and to maximize the use of the distribution capacities and, in that way, be more competitive in the market. A distribution owned by the producers doesn’t pay off.
On the other side, there are platforms providing information on the demand and offer of transport services with information on the planned or possible routes and transport capacities.
The different datasets from Croatia could be combined together to build and demonstrate
a realistic Data Value Chain prototype in the context of the region with the target to map the demand and offer of transport services connecting to the needs for transport from the family farms. Improve the distribution through the possibility of defining the best transport route and giving a predicted timetable for the different routes. For the producers, it could provide information on the expected demand for products and in this way, they could balance their offer with the demand.
At least one of the following should be addressed:
- Tool mapping of the demand and offer of transport services using information from different datasets.
- Tool to improve defining the best route and give a predicted timetable for different routes.
- A tool providing information on expected demand for locally produced products, to balance the offer and demand.
- Better knowledge and solutions to increase the transport offered in inland and rural regions.
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