Mercari Tech Conf 2018 Keynote (Dr. Mok Oh)

Mok Oh, PhD
CTO, Mercari US

Mercari JP CTO Suguru Namura, Mercari US CTO Mok Oh, and Merpay Director Keisuke Sogawa will discuss the events that have occurred at their respective companies in the past year. They will also talk about the goals and technical challenges that they plan to tackle in the future.

Transcript

1. Keynote Dr. Mok Oh CTO, Mercari US
2. 4 October 2018 Mok Oh, PhD Chief Technology Officer Mercari US x Mercari Engine
3. Mercari Engine x Discovery x Exchange
4. Data x fML Mercari Engine Discovery x Exchange x
5. People x Culture Mercari Engine Discovery x Exchange x Innovate Automate Data x fML
6. Discovery x Exchange x Mercari Engine
7. Discover Shop Want Get Buy Buyer
8. Want Discover Shop Buy Get Buyer’s Journey
9. Discover Own List Sell Ship Seller
10. Own Discover List Sell Ship Want Discover Shop Buy Get Seller’s Journey
11. Own Discover List Sell Ship Want Discover Shop Buy Get Discovery Exchange
12. Discovery x Exchange x
13. Mercari Engine x Discovery x Exchange
14. Mercari Engine Discovery x Exchange x Data x fML
15. Data Mercari Engine
18. Seller Buyer Item Item Name Price Category Brand Description Photos Date Size Weight … Name Email Balance Followers Following Coupons Badges Items listed Items sold Items bought Likes Social Payment … Name Email Balance Followers Following Coupons Badges Items listed Items sold Items bought Likes Social Payment …
19. All Items ~100M Unique Product “SKUs” f Item matching Retail price Size Weight Category Brand Description Photos URLs …
20. All Items All Sellers All Buyers f Listing optimization f Demand optimization f Pricing optimization f Similar items f Category & brand normalization f Item sellability f Item buyability f Fraud items f Item genome f Supply optimization f Seller cancellation f Top sellers f Similar sellers f Fraud sellers f Seller genome f Top buyers f Similar buyers f Buyer cancellation f Fraud buyers f Buyer genome f Sentiment analysis f CS auto classifier f CS chatbots fML
21. Data Mercari Engine
22. Mercari Engine fML
23. Genome Mercari Engine fML
24. f
25. input f ( )
26. input f ( ) output =
27. f ( ) output = Item Name Price Category Brand Description Photos Date Size Weight …
28. [ ] n-dimensional vector f ( ) = x1 x2 x3 … xn Item Name Price Category Brand Description Photos Date Size Weight … Genome
29. f ( ) = Items
30. Clustered Items
31. Clustered Items
32. laptops smartwatches iPhones apparel clothes Nikes
33. - f ( ) = f ( ) - f ( ) = f ( ) fsimilarity ( , ) = 0.78 fsimilarity ( , ) = 0.12 “If you liked , then you may also like .”
34. [ ] f ( ) =
35. flook_alikes ( )= { } “Similar sellers also sold .”
36. Nike Rae Dunn PINK LuLaRoe Nintendo Funko
37. Nike
38. Rae Dunn PINK LuLaRoe Nintendo Funko
39. Data Science Analysis - Female Buyers Technology Mom Buyer Women’s Fashion Women’s Accessories Home Technology Beauty Vintage Mom Buyer Submarkets Identified Women’s Fashion Women’s Accessories Submarkets with highest growth rates, STR, and GMV High Growth Submarket Opportunities:
40. Data Science Analysis - Male Buyers Submarkets with highest growth rates, STR, and GMV Technology Submarkets Identified Technology Home Men’s Fashion Collectibles Women’s Accessories High Growth Submarket Opportunities: Home Collectibles
41. Mercari Engine Genome fML
42. Mercari Engine Prediction fML
43. f ( ) Sale probability within 72 hours = i.e. What is it’s Sellability Score?
44. Month 4 Month 0 Sellability Score 0.0 1.0
45. Month 4 Month 0 0.0 1.0 ! Sold Sold Sellability Score
46. f( ) Probability of Seller canceling =
47. Month 4 Month 0 Cancel Score 0.0 1.0
48. Month 4 Month 0 Cancel Score 0.0 1.0 Cancelled ! Cancelled
49. f ( ) Counterfeit? = f ( ) Churn? = f ( ) Own this item to list? = f ( ) Buy this item? = …
50. All Items All Sellers All Buyers fML
51. Mercari Engine Discovery x Exchange x Data x fML
52. People x Culture Mercari Engine Discovery x Exchange x Data x fML
53. People x Culture Mercari Engine
54. US@Tokyo US@Palo Alto US@Portland US@Boston
56. Technology Advisory Board Professor Fredo Durand CSAIL, MIT Professor Wojciech Matusik CSAIL, MIT
57. Design PM iOS Android Web Backend ML Data Eng QA Growth Search Conversion Completion Support Foundation Teams Scrum Themes
58. People x Culture Mercari Engine
59. People x Culture Mercari Engine Innovate Data x fML
60. People x Culture Mercari Engine Discovery x Exchange Innovate Automate Data x fML
61. 4 October 2018 Mok Oh, PhD CTO, US Thank You!