tech day 2015 - challenges with e-commerce, today and tomorrow
TRANSCRIPT
Business case Online shopper
Got something undesirable backCredit card info stolen
Expectation Reality
Business case Online shopper
Expectation Reality
“Looks sweet, wrong color/size tho”
Credit card info stolen“Changed my mind”
Business case Merchant
Customers don’t pay / pay too late Lack of core competencies High cost on talent acquisition / labor / debt collection etc.
Poor conversion …“Can’t find my credit card” …“Credit card out of reach”
Time
Effectiveness
Relative plateau
Relative plateau
Relative plateau
* Methods introduced to measure and manage non-linearities
* Scoring model introduced
* Basic risk measurement * Rule-based risk management
Product
* What’s the best offering for every single consumer/merchant
* What’s the best for Klarna
Approve or not?
Fixed set of options for customers to select
Static disbursement config per merchant
Static pricing, acceptance commitment etc. per merchant
Prime ConcernBottom line
Approve or not?
Present what’s “best” for both the customer and Klarna first
Dynamicdisbursement config per merchant
Dynamicacceptance commitment etc. per merchant
What to offer?What to offer per transaction?
Bottom line
Top line
Personal UX
Strategy Optimization
Bottom line
risk/losscost reduction
operational efficiency…
Top line
revenue
UX
pre-purchasepurchase
post-purchase…
Personalization
Technology
Optimizing relativity Personalizing UX
SCRUM Reiterative dev
Granular decisioningAutomation
Infrastructure
Enable Scale