• Showcased product

• Defined use case

• Identified relevant product features

• Defined contacts

• Created SEON demo account

• Collected historical transactions

• Negative/positive labelled historical transactions

• Provided historical data to SEON for analysis

• Analysed historical data and created report

• Selected data fields for requests

• Formatted data according to SEON API

• Submitted sample transactions

• Validated sample transactions by SEON

• Integrated clients production environment

• Adjusted scoring thresholds

• Ensured (API/Manually) proper labelling

• Implemented rules based on historical data

• Implemented custom, industry specific rules

• Fine-tuned machine learning algorithm

• Minimised false positive & negative rates