ML in supply chain

DSaaS to forecast materials shipment terms and reduce customer churn rate.

Innowise has developed a DS and MLOps web extension to predict supplies and prevent delivery delays.

Simply put, the solution’s flow can be described in the following way. Users input all the data regarding specific vendors like contracts’ IDs, required materials, order/delivery dates, current progress, and any auxiliary information. Then, based on the ML in supply chain algorithms, the platform analyzes indicated data and predicts procurement dates, considering the history of previous interactions, vendor reliability, and external risks.