Retail & E-commerce Recipes

Covers retail, e-commerce, FMCG, fashion, and omnichannel use cases. Advanced recipes are marked with .

Binary Classification

Recipe	Sub-industry	Description
Customer Churn Prediction	E-commerce	Predict customer attrition within a time window
High-Spending Shoppers	FMCG	Predict if a customer exceeds a spend threshold in specific categories
Online Weekday Purchase	E-commerce	Predict an online purchase on a specific weekday
Product Returns	E-commerce	Detect product returns within 30 days of delivery
Positive Reviews	E-commerce	Will the customer leave positive reviews for all items?
Extended Warranty	Electronics	Predict warranty purchase within 7 days of buying a laptop

Recipe	Sub-industry	Description
Favorite Brand	Fashion	Identify a customer's most preferred brand
Favorite Color	Fashion	Identify a customer's preferred product color
Customer Spending Tier	Retail	Classify a customer into spending tiers

Recipe	Sub-industry	Description
Category Purchase Propensity	Grocery / FMCG	Score propensity to buy across multiple product categories
Evening Brand Purchases	Retail	Predict which brands a customer buys during evening hours
Weekly Category Purchases	Retail	Predict which categories a customer buys from every week

Recipe	Sub-industry	Description
Purchase Value, Quantity, or Visits	E-commerce	Estimate spend, item count, or visit count
Buy Online Return In-Store	Omnichannel	Count cross-channel buy-online-return-in-store events
New Category Purchase Time	Retail	Predict days until a customer tries a new product category

Recipe	Sub-industry	Description
Next Product Basket	E-commerce	Predict the next set of products a customer will buy
Product Acquisition	E-commerce	Recommend products not previously purchased
Top Repurchase	Retail	Recommend products likely to be repurchased
Never at Full Price	Retail	Recommend products previously bought only with discounts
Active Categories	Retail	Recommend unseen products from frequently purchased categories