Retail and Ecommerce
CRM stands for Customer Relationship Management. It's a technology used to manage interactions with customers and potential customers. A CRM system helps organisations build customer relationships and streamline processes so they can increase sales, improve customer service, and increase profitability.
Structured ML solution type can be use to build the ML models from structured (tabular data). The data case be sourced form spreadsheets, CSVs, or application databases. This can be used for different types of models like prediction, classification.
Summarization helps in creation of short, accurate and fluent summary of longer piece of text.
Text classification is process of identifying a class the text belongs to. It can be used for sentiment classification.
Aspect and Sentiment Identification
Content generation solution..generates content based on tabular and/or semi-structured data
Named Entity Recognition(NER) is the process that seeks to locate and identify various known entities from a given sentence of paragraph.
Aspect and Sentiment Identification
Deliver personalized recommendations to your customer. Based on the state-of-the-art model works from day 1.
Content generation solution..generates content based on tabular and/or semi-structured data
The solution enables users to build demand forecasting models using historical demand data and various other parameter combinations.
Identify patterns (recurring, anomalies, seasonal, trending) in your data using the real-time pattern detection engine. It helps to proactively monitor your orders, analytics infrastructure or any other operations