Developing a match-making algorithm between customers and Go-Jek products!
20+ products. Millions of active customers. Insane amount of data and complex domain. Come join me in this talk to know the journey we at Gojek took to predict which of our products a user is most likely to use next.
A major problem we faced, as a company, was targeting our customers with promos and vouchers that were relevant to them. We developed a generalized model that takes into account the transaction history of users and gives a ranked list of our services that they are most likely to use next. From here on, we are able to determine the vouchers that we can target these customers with.
In this talk, I will be talking about our process while developing the model, the challenges we faced during the time and the impact it had on our conversion rates.
This session is the story of how we built a match-making algorithm that helps us do targeted cross-sell to Gojek users and help them discover products they’ve never used!
It will have the following outline :
1. What is customer targeting?
2. Defining the problem statement
3. Iterations to solve the problem
4. Challenges Faced
6. Impact and Results
Gunjan has been working in the industry for 3 years and has a background in Mathematics. Currently she is working with the Fraud Team in the Gopay (Gojek) Data Science team.
She can talk about statistical models with you all day long and can’t help but notice patterns everywhere in her life. Along with her day job, she also mentors aspiring young data scientists.