Contact Us

Augmented eCommerce Sell-Through, a person shops on a laptop with their credit card

industry

Augmented Ecommerce Sell Through

CHALLENGE

Ecommerce company needed to increase product sell-through in online store.

SOLUTION

Developed machine learning real-time dynamic algorithm using random forest technique based on customer profile and history to predict most impactful product placement adjacent to primary product being searched.

OUTCOME

Improved merchandising and increased sell through rates.

Random Forest Technique

Augmented Ecommerce Sell Through

CHALLENGE

Ecommerce company needed to increase product sell-through in online store.

SOLUTION

Developed machine learning real-time dynamic algorithm using random forest technique based on customer profile and history to predict most impactful product placement adjacent to primary product being searched.

OUTCOME

Improved merchandising and increased sell through rates.

Random Forest Technique

Download the Case Study

More case studies
The Waste Management Early Alert Rear Safety Device
Object Detection

Waste Management Early Alert Rear Safety Device

Realty Austin Case Study cover
Recommendation Modeling

Case Study: Realty Austin

Realty Austin needed to improve the available housing recommendations sent to its customers via email. Find out how KUNGFU.AI created the system that generated significantly improved email click-through rates.
Case Study: Natural Language Processing for Audio Search, a broadcaster records a podcast that will then be indexed and archived with NLP
Natural Language Processing (NLP)

NLP for Audio Search