AI For AgriFood Supply Chain
The SAIP project helps suppliers avoid problems by empowering them with an advanced warning infrastructure for delayed orders by offering AI machine learning capabilities. In addition, cycle time estimates that provide predictions on the probability of events that may occur are also provided with the solution. This includes when order confirmation will be received, or when exactly an order will be shipped or delivered. It creates a secure, shared and single version of the truth for B2B transactions using blockchain technology. Trust and transparency in the supply ecosystem is enhanced by invite-only blockchain access, allowing each partner to control the data shared with those on the network. A more resilient supply chain can never be achieved without true visibility, transparency, collaboration, and trust. Data stacks, point-to-point communication, and lack of visibility between partners limit supply chain trust. With a blockchain solution available, buyers, suppliers, and carriers all establish a secure and immutable relationship with access to data that needs to be shared. By creating a shared version of the truth, everyone is kept on the same page and conflicts are reduced. Eliminating blind spots in supply chain networks and leveraging value in digital transactions with predictive insights is clearly beneficial for supply chain leaders; The COVID-19 outbreak reveals a number of shortcomings in the supply chain globally.
Smartmind Veri Yonetimi Teknoloji Hizmetleri Anoni…, Türkiye