Understanding the supply chain and associated processes our clients participate in from Upstream to Downstream is indispensable to trace bottlenack and problem stages.
The technology behind sensors and electronic chips is evolving rapidly and gives the opportunity to attach sensors to phisical goods on stages of the supply chain. These so-called IoT enables us not only to track and trac the goods, but also detect potential failure and fraud. Combined with cloud storage solutions enhances the value of massive amount of collected data.
The underlying analytics used within the Big Data framework enables us to find insightfull patterns (Descriptive phase), where we apply our Machine Learning Algorithms to have a foresight (Predictive phase) on the processes within the supply chain. With this information, we can detect inefficient stages/processes and determine new optimal strategies (Prescriptive phase).
Stakeholders could establish an industry-wide platform to onboard and manage supplier relationships and review the quality of flower products along the entire chain (e.g. freshness, temperaturs, humidity). Each user in the ecosystem would use a digital identity to access and participate on the platform. Contracts could be created to store and manage meta-data and events associated with supplier onboarding and relationship maintenance. This all enhances: