Airlines

Real time signals and recent searches
Build curated travel itineraries for vacationers

While booking a flight
Recommend personalized flight & ancillaries

Post flight booking
Recommend offers to drive seat upgrades

New and low traffic routes
Increase flight bookings to specific destinations

Similar locations from past travels
Personalized route recommendations

Propensity to buy ancillaries
Target customers for first time ancillary purchase

Loyalty program engagement
Gamify loyalty rewards to maximize revenue

Realtime adaptive pricing
Adaptive discounts for flight routes

Web, app and email channels
Recommend personalized images to maximize conversion

Increase open rate and engagement
Target customers with personalized taglines
Fashion Retail

Target One & Dones
Increase customer purchase frequency

Based on past purchase patterns
Curate wish lists and recommend products

Sales of out-of-season inventory
Recommend personalized offers on products

AI-identified fashion trends
Recommend in-season and new launch products

Customer searches and purchases
Recommend complementary products to drive cross-sell

Increase order value and basket size
Recommend the right outfit combinations

Customers during purchase flow
Recommend products that are bought or viewed together

Contact strategy on timing & frequency
Personalized messaging through customer's preferred channel

with personalized offers
Identify and reactivate customers at risk of churn
Food & Beverage

Loyalty premium customer engagement
Drive up-sell and cross-sell opportunities

Customer journey modeling
Generate key drivers of customer retention

Historical spend patterns
Target right customers based on price elasticity

Customer propensity scores
Increase engagement frequency for At Risk customers

Customer Retention Analysis
Convert customers at Sticky Point to a Loyalist

Trial new behavior
Increase Weekday/Dinner only Purchases by Weekenders

For New customers
Increase Mobile App Purchases & Trials

New Product & Store Launch
Engage New Market/ Restaurant Customer
Hospitality

Customer preferences and affinity
Recommend right property or amenity offer

Based customers’ needs and wants
Recommend a personalized ranking of hotels

Low performing hotels
Drive incremental bookings and revenue lift

3rd party apps
Recommend personalized offers based on customers look-alikes

Adaptive up-sell offers
Drive incremental value from .Com bookings

During and before stay
Drive ancillary services cross-sell / upsell

Historical spends and engagement
Drive secondary spend and new customer engagement

3rd party data and heuristics
Personalize non-member outreach using 3rd party

Customer elasticity scores