RESENSE is an intelligent platform for Retail and Consumer brands to automate the major business drivers including supply chain, and marketing needs of the business. Designed and developed by our team of data scientists and the team of domain experts with a base of best-in-class forecasting engine by utilizing a comprehensive library of forecasting algorithms, including univariate and multivariate time series forecasting models, Machine Learning (ML) including deep learning models. The models are chosen to replicate numerous different demand patterns including extreme volatile patterns. These proprietary algorithms have the power to unlock the hidden potential of your business. By using these algorithms, the accuracy of forecasting significantly goes up allowing the business to manage the inventory and price in a more effective way.

Throughout the implementation process we provide the client with hassle free experience. The platform is configurable based on the requirement and rules of the business. Data sets shared by the client undergoes transformation to correctly format the incomplete or duplicate data. Post implementation, Hypercare is offered as a part of the engagement. The aspects that make up are Model Tuning through a trial-and-error process by changing some of the hyper parameters,fixing minor technical bugs identified during the implementation stage, organize training for the business users & develop and share the documentations.

AWS Lambda, Elastic Kubernetes Service (EKS), Relational Database Service (RDS), EC2, S3 are the AWS services that we utilize.