Customer Happiness Quotient™, Supermarket Price Optimization, predictive AI, predictive recommendation engines, predictive promotion planning, personalized retail offers, retail artificial intelligence, retail AI, supermarket artificial intelligence, supermarket predictive inventory software, retail software solutions, retail management software, Price Optimization, Promotion Optimization, Assortment Optimization, Merchandising Optimization, Promotion Recommendation, Assortment Recommendation, Merchandising Recommendation, Price Recommendation, Household Segmentation, Customer Segmentation, AI, Machine Learning, Deep Learning, Price Management, Promotion Management, Promotion Forecasting, Inventory Forecasting, Retail Merchandising, Trade Promotions, Household Offers, Targeted Offers, Personalized Offers, Hyper Personalization, Predictive Analytics, Customer Analytics, Shopper Analytics, Consumer Analytics, Advanced Analytics, Category Analysis, Personalized Merchandising, CHQ, delivery optimization, shopper analytics

What is your CHQ™?

Pristine believes that growth in number of customers, and improving engagement of customers, should be each retailer’s only focus. This must be measured and needs to have primacy with other important performance indicators.

Pristine provides a deep understanding of how to grow the engagement of each individual customer. We have created one metric, Customer Happiness Quotient™, providing a singular focus for accomplishing this goal. This metric is composed of 5 parts:

  • Number of customers
  • Visits per customer
  • Number of categories purchased per customer (breadth)
  • Spend per customer
  • Margin dollars per customer

Our platform studies the response of each customer along each of these dimensions, learning the best ways to increase CHQ™, thereby continuing to improve the effectiveness of its recommendations.