Curve Tech News
2 articles
growth-positive
Upsell Beyond the Obvious
The article discusses the value of customer journey data for retailers, both online and physical stores. It highlights the importance of making intelligent and profitable product recommendations based on customer data analysis. By going beyond obvious suggestions, retailers can increase revenue and delight their customers. The use of machine learning technology allows for uncovering cross-sell and upsell opportunities that were previously difficult to find. It also helps in predicting product demand and enhancing inventory allocation. The article emphasizes the potential of predictive machine learning technology in improving upselling, cross-selling, and sales predictions for retailers. The CEO of Curve.tech, Roei Livneh, provides insights on how their company utilizes machine learning to derive automated insights from customer journey patterns.
Customers
growth-positive
GUEST COMMENT Ecommerce - it's only a channel
The article discusses the future of retail and the importance of integrating retail technology, such as machine learning, in physical stores. It emphasizes that while ecommerce has seen significant growth, high street shopping is still relevant. By utilizing machine learning technology, retailers can provide personalized product recommendations to customers in-store, improving the shopping experience and generating revenue. The article suggests that high street retailers should integrate ideas and technologies from ecommerce companies to create a true cross-channel, online/offline experience. The majority of retail sales still occur in physical stores, highlighting the potential for growth and innovation in the retail industry.
CustomersPartners
