Hierarchical Product Classification Solution can be used to build models that can classify products in a hierarchical category based on text descriptions. The models can be trained on one more text attributes like product name, description, features list, etc., which can later be used to classify new products.Though build for product classification, the models can be extended to other use cases like classifying documents, emails etc.

Supply Chain Monitor solution use Machine leaning and analytics to monitor and predict the effect of external disruptive events around the globe - like weather, political unrest, pandemics, transportation failures etc. on the end to end supply chain or manufacturers, distributors or retailers. It can forecast the delays in receipt of goods, the impact it can have on fulfilling your customer order and suggest remedial or other proactive actions.

The solution enables users to build demand forecasting models using historical demand data and various other parameter combinations.

Supply Chain Monitor solution use Machine leaning and analytics to monitor and predict the effect of external disruptive events around the globe - like weather, political unrest, pandemics, transportation failures etc. on the end to end supply chain or manufacturers, distributors or retailers. It can forecast the delays in receipt of goods, the impact it can have on fulfilling your customer order and suggest remedial or other proactive actions.