For example, when NCR needed to optimize product configurations across their ATM line, they implemented pattern-based analytics solutions to analyze customer-buying patterns.
This approach uses customer-buying patterns to create the best product offering, and simultaneously guides customers to the best choices based on what is on hand.
These critical connections and causalities are the key to managing big data and allowing companies to see a more comprehensive picture of their product and product variants based on actual customer-buying patterns.
Pattern-based analytics solutions are already being leveraged by some companies, giving them a much-needed competitive advantage in a high-risk environment by providing insights into customer-buying patterns to guide the product offering, supply chain planning and execution.
Plus their analytics-supported approach also enabled Gemvara to track design favorites and buyingpatterns to keep honing what it offers and how, thus growing their customer base and per-customer sales while honing customer service, based on the knowledge of how customers want to be served.