Solutions

Personalization

With the same data integration and just a few predictive queries, ensure that every touchpoint with your customer is as delightful as possible and drives long-term engagement while improving product sales.

Personalization

Related case studies

DRIVING $100M IN GMV LIFT FOR ON-DEMAND DELIVERY

An F500 on-demand food delivery service increased GMV by $100M from better personalized store recommendations

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POWERING PERSONALIZATION IN GROCERY

A leading grocery chain improved personalized new item recommendations by 24% in 1 week

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IMPROVING MERCHANT RECOMMENDATIONS

An emerging markets on-demand delivery service improved merchant recommendations by 40% in 4 days

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Without any ML expertise required

Flexibly predict any measure of affinity between user and item:
- Probability of click, purchase, return, or any other kind of interaction event
- At the level of an individual item or any higher-level item attribute (category, brand, price band, etc.)
- Over the timeframe of your choice–from days to quarters
Run a wide variety of analyses of your choice:
- Affinity between any arbitrary user or item
- Top K users likely to buy a target item or top K items to show a target user
- Top K Items similar to a target item or top K users similar to a target user
- …and more!

Downstream workflows turbocharged

Curate customer experiences across web/mobile app/etc. that look and feel unique to each user and address their individual needs
Anticipate growing trends in the marketplace to establish yourself as a trail-blazer among competitors
Leverage user preferences to advise new product designs and make your business more customer-focused
Programming chatbots that are capable of accommodating customer needs on an individual basis
Enhancing product catalogue or enterprise search systems
Enriching the content of any organic outreach (emails, notifications, sales calls, etc.) to drive higher customer engagement
Choosing which specific users to target with a new event, major upcoming product launch, thematic promotion, etc.
…and more!

Representative workflow

Representative Workflow

Define the ML Problem

Kumo makes it easy to define the ML task using a simple, declarative language, and then uses AutoML to execute a highly optimized and fully tuned model. Build the query and predict the future!

Structure your problem using a simple query to predict affinity to categories, brands, and products.

Predict 7-day category-specific purchase affinity:

PREDICT LIST_DISTINCT(Orders.Store_ID -> Stores.category, 0, 7)
FOR EACH Users.ID

Predict 7-day brand-specific purchase affinity:

PREDICT LIST_DISTINCT(Orders.Store_ID -> Stores.brand, 0, 7)
FOR EACH Users.ID

Predict user will return a product they purchased within 30 days:

PREDICT EXIST(Returns.itemID, 0, 30)
ASSUMING EXIST(Orders.itemID, 0, -30)
FOR EACH Users.ID

Query the future

Unleash the predictive power of your enterprise data

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Personalization

Related case studies