DRIVING IN-STORE SALESWITH REAL-TIMEPresented byCyril Nigg

PERSONALIZATION

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Who is Catalina?

Personalized digital media

Drive CPG volume & ROI

In-store and online

We’re a data company…26 Billion

Shopping Trips per Year

450K+Checkout Lanes

280MM+Unique Shopper IDs

2 BillionUPC Scans per Day

Our in-store network

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Retailer Problem - Circulars

100’s of promotions weekly

Millions of dollars spent

Average shopper buys <1%

Need a better way

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My Favorite Deals

• Personalized Circulars –> Find relevant products• One-to-one communication• Delivered in-store prints, email, online• Measurable results –> incremental sales• Real-time Personalization in action!

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More Analysis, Less Implementation

Goal: Hands off execution

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Three Elements to Success

DMP AggregationAPI

h2oPOJO Delivery

Monitoring

1 2

3

Real-time Personalization Execution

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Aggregation API• Features: Realtime == Offline• Dimension / Metrics• Data handling

Aggregation API

CategoryBrand

SalesTrips

Dimensions Metrics

DMPTransaction 1Transaction 2Transaction 3

…

data prep• nulls• dates• normaliz

e

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h2o POJO

• Direct upload of model

• No Dev work needed

• No translation

• Model flexibility

Data Science EnvPython / R

h2oModelPOJO

Execution Platform

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Monitoring

• Low touch -> fewer “eyes”• Not traditional monitoring – Server response vs data input / output values– Total Sales variable example

DMP AggregationAPI h2o Delivery

Monitoring

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Better Real-time execution

• Aggregation API -> Scalable features

• h2o POJO -> Fast implementation

• Monitoring -> Identify issues

QUESTIONS??