Sagarmatha, a prominent developer of machine learning-based (ML) personalization and analytics platforms for top-tier US grocery retailers, is excited to announce expansion plans for its SaaS consumer behavior platform. This expansion aims to provide retailers with decision support tools to increase sales, improve margins, foster loyalty growth, optimize shopper marketing activities, and enhance the effectiveness of promotions.
With millions of shoppers on the company's software platform, Sagarmatha helps retailers transform data and insights into multi-channel commercial opportunities. Through its proven ML-based software solutions, Sagarmatha empowers global grocery retailers and suppliers to increase sales and improve promotional ROI by providing personalized and relevant shopping experiences, as well as strategic decision support, leading to year-over-year improvement in effectiveness.
Gilad Simhony, CEO, stated, "Sagarmatha is constantly exploring ways to enhance value for our customers. Our goal is to expand our range of services, empowering our customers to achieve their business objectives by leveraging in-depth analytics and predictions that have a positive impact on their revenue."
Sagarmatha's consumer behavior platform leverages shoppers' transaction data to generate advanced predictions and actionable recommendations. The platform utilizes automated machine learning algorithms and continuous optimization to enable independent data monetization, optimize shopper marketing effectiveness, enhance assortment management, increase loyalty and more.
Sagarmatha has been at the forefront of grocery retail personalization since 1998. The company is dedicated to empowering retailers and suppliers to understand shoppers' behavior and optimize business outcomes by leveraging consumer behavior-based machine learning and business intelligence technology.