AI case study

Second DinnerProduct recommendations

Generic daily shops made players wait hundreds of days for specific cards. ML now serves 1-to-1 offers based on play style.

Published|1 year ago

Result highlights

Unlock 1 result highlight

The story

Context

The developers of a fast-paced competitive card battle game manage a complex economy where players collect thousands of unique variants.

Challenge

Manual processes limited the team to just 10 experiments annually, with iteration cycles taking a full month to execute. The daily shop relied on...

Solution
Unlock full story

Quotes

Unlock 4 more quotes

The company

Second Dinner logo

Second Dinner

seconddinner.com

Independent game studio developer of the digital card game Marvel Snap.

IndustryEntertainment
LocationIrvine, CA, USA
Employees51-250
Founded2018

The AI provider

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

Similar Case Studies

Related implementations across industries and use cases

93 AI case studies in Entertainment

1,352 AI case studies in Product Engineering