CEESA’s SWARM experiment proposes to validate a service that enables manufacturers and retailers to eﬃciently manage distributed warehouses in the scenario of new added-value services for e-commerce business model.
The SWARM main challenges were 1) the optimization of the multiple warehouses management, some of them virtual since the products in transit are owned by the manufacturer or distributor till the moment the client accepts them, 2) the integration with enterprise management tools and 3) the eﬃcient interoperability with management tools of diﬀerent logistic agents within the supply chain, including logistic agents and carriers.
The SWARM experiment solution is mainly based in the use of one FIWARE component, the Orion Context Broker. It relies on the open source MongoDB technology and will receive the request using the NGSI communication protocol to manage the context information about the context entities of the experiment, as requested in the Open Standards for Context Information Management of FIWARE.
The SWARM experiment has been useful to demonstrate that MIDIH technology can be actually instrumental in delivering very signiﬁcant business KPI improvements, and speciﬁcally:
To bring the product to the market CEESA will have to diﬀerentiate from existing competitors. CEESA strategy is to enable the increased ﬂexibility oﬀered by MIDIH technology enablers and architecture, but also to address the need of small and medium enterprise marker; where the company already holds a strong position.
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