Multiple duplication of production information by producers, and inability to seamlessly manage stock
Difficulty to adopt a big data approach and build new services due to data incompatibility (ex: logistics)
To enable producers to seamlessly manage their product and inventory catalog while selling their products through multiple channels using multiple platforms.
To enable the development of shared logistics solutions using logistic information from all the platforms in use.
To allow the implementation of interoperable management tools allowing for example a producer to generate integrated reports gathering sales data from different platforms
To allow the reporting or visualization (via maps for instance) of data coming from multiple platforms.
To allow actors with different business models and technologies to work together without changing their way of working and tools.
That the data follows a shared semantic standard so that it can be shared from one actor to another even if the actors have different data models, speak different languages.
To be able to link the data to unique identifiers allowing their reconciliation when necessary (eg unique product identifier, unique company identifier, unique person identifier, unique place identifier)
An architecture allowing this ecosystem to work in a decentralized manner, including the areas of identification/authentication, segmentation of the API on high or low granularity service logic, etc.