SPOT, a new data platform for the industry sector

Rubique has demonstrated its focus on ecosystem collaboration with the development of SPOT (Single Point of Truth) – a data platform which links all stakeholders in ecosystem be it internal as well as external stakeholders like financial institutions, business associates & business partners.

SPOT is a data platform developed with an objective to be a single stop solution for all financial products. It has a JSON schema based configurable workflow engine that allows origination, assessment and fulfilment seamlessly for products like a loan, credit card and insurance.

The SPOT platform is integrated with paperless-focused features like e-KYC, bank statement analysis, credit bureau check, credit memo generation & MCA integration etc. These features further allow real-time decision making on the application.
Rubique Wallet – A new age wallet solution enables the partner network to track and manage their leads and corresponding payouts.
CIBIL score – Provision for customer CIBIL scores and reports for business associates.
Cross-sell / Upsell engine – Allows business associates to cross-sell or upsell products when applying for any other product.
Blockchain-based smart KYC – Enables instant, secure and seamless customer identification process.
Analytics – Designed for business associates to allow checks on customer's earnings, analyse which products are selling better, the approved amount of loans, etc.
Credit Assessment Memo – To generate the CAMs for any loan product which can be submitted along with the customer’s files.

Rubique has leveraged alternate data, image recognition and video analytics on SPOT to automate data filling and verification thus making customer onboarding seamless and hassle-free. Apart from this, there are also series of algorithms employed to build a strong recommendation engine to reach out to customers at the right time with relevant offerings. Rubique has also used AI (artificial intelligence), Image processing, OCR, Video Analytics and machine learning algorithms to incorporate consumer analytics and cross-sell/upsell recommendation engine within SPOT to maximise lifetime value for our consumer and associate network.

With extensive data about customers in its arsenal, Rubique is working on the alternating scoring engine on the SPOT which will use various data sources like SMS parsing, Call Logs Data, Contact List, device attributes, psychometric analytics and facial recognition to enable new to credit customers.

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