Transactions analysis and categorization enable pattern identification and spending behaviour
From transactions we indentify more than 100 KPIs and personal and financial indicators to give a snapshot on the customer Creditworthiness
Our partners can creates custom loan products, manages conditions and have instant approval and disbursement mechanism
We use customer’s alternative data to evaluate credit eligibility, enriching banks scorecards and decision models. The most used KPIs selected by our banking partners use are: wealth indicators, Spending indicators, Liabilities indicators and Risk indicators
We find patterns and create customer clusters based on spendig behaviour.
This information are used as marketing insights to improve targeted up & cross sellling
strategies. If a user has similar KPIs to the cluster credit card owner, we’ll trigger an event to our partner bank
From the transactions history and financial behaviour we improve customer profiling and we enhance CRM strategy and actions that increase engagement and loyalty rates.
Through this module, the partner bank can personalize the loan product based on customer age, customer KPIs, or date (e.g. black friday) without touching the core-banking. In addition, it will have access to a dashboard were and control all its credit performances and exposure
Faire.ai, seeks to reimagine the future of the financial sector. A future that doesn't seem so far away.
Banca Progetto, thanks to Fabrick's enabling technology and Faire's credit score, will be able to develop a service to provide instant consumer ...
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