Mqora

Questions and answers

• Easy setup
  You can connect your data using Shopify, CSV files, or an API without manual tagging.
• Sales analytics
  You can see sales data, like which products sell fast and which sell slow.
• Analysis process
  Mqora creates a matrix from your orders, finds product links, and helps you act on them.
• Basket simulator
  You can enter a basket to see what other products customers might add, which helps with promotions.
• Applying insights
  Use the insights to arrange shelves, reorder collections, or suggest products to customers.
• Arrangement zones
  It groups products into clusters you can use on shelves, aisles, or online collections.
• Association rules
  It finds connections between products, like cream cheese often bought with tea bags, showing how strong those links are.
• KNN relationships
  It finds products that act similar, helping you understand which items are related.
• Measuring success
  Track sales and basket size to see how your changes improve your business.
• Network benchmarks
  Members can see overall trend data across many stores, kept anonymous and optional.
• Continuous learning
  Our model gets better over time because it learns from new orders you get.
• Product arrangement intelligence
  Mqora shows how products are bought together and helps you organize shelves and online pages based on those rules.