How Machine Learning Improves Retail Demand Forecasting
Reading Time: 8 minutes Learn about 9 ways retailers can benefit from using machine learning in demand forecasting and the top 7 retail demand forecasting challenges ML can solve.
Namitha is a content marketer with over 14 years of experience in the field. She is a keen student of how the world consumes and reacts to various forms of content. She loves writing about personalization, customer experience optimization, and consumer psychology, among other topics. She is a content marketing manager at Algonomy.
7 Ways to Use Dynamic Experiences to Reduce Cart Abandonment
Reading Time: 6 minutes Read about 7 effective ways to use Algonomy Engage™ and its dynamic experiences to reduce cart abandonment and get users to complete transactions.
The What and the Why of B2B Personalization
Reading Time: 4 minutes Still ignoring B2B personalization? Learn more about why B2B companies need to deliver personalized customer experiences and how they can achieve it.
Is Your Personalization Engine Ignoring New Products Without Behavioral Data?
Reading Time: 4 minutes NLP can recommend new, seasonal, and long-tail products even if there is no behavioral data for them. Read how this can benefit your business.
5 Powerful Ways to Deploy 1:1 Personalization
Reading Time: 4 minutes Read about 5 effective strategies to provide machine learning and AI-powered 1:1 personalization to your customers.
Why You Should Hyper-Personalize Customer Experiences
Reading Time: 3 minutes Learn why hyper-personalization of customer experiences is a must in today’s eCommerce world and how machine learning is revolutionizing personalization.
Understanding the Limitations of Segment-based Personalization
Reading Time: 4 minutes Why is individualization the need of the hour? Read about the limitations of segment-based personalization.