Hudson ™ is an AI integration layer that uses a library of mathematical models. These enable accurate predictions and insights for our clients. Hudson ™ integrates seamlessly into a variety of data systems and sources. The value of an integrated operations AI platform and simulator lies in the ability to ingest a variety of data, which are both internal and external and are at various levels of data quality.
Hudson ™ is designed to intelligently impute missing data, perform semi-automated data cleaning, and assess data integrity
Conventional analytics tools are unable to ingest low-quality and inconsistent data. Hudson ™ is designed to intelligently impute missing data, perform semi-automated data cleaning, and assess data integrity. This unlocks valuable insights in otherwise untapped data.
Hudson ™ AI integration layer
3 Core Modules - Integration Layer
To apply AI to data, Hudson ™ ingests, cleans and structures data.
Inventory Planning Model
Predicts optimal stock levels based on Service Level Agreement
Predicts customers' demand accurately
Suggests production capacity
Forecasting
Predicts orders (Sales In Data)
Predicts ePos (Sales Out Data)
Accurate demand prediction
Optimize stock and/or production
Sales and Promo Optimization
Recommender system
Retention models
Predicting customers' probability to leave
Recommending optimal customer intervention based on profitability
Recommending optimal promos based on profit and availability
Predicts competitors' promos
Targets being based on preferences