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Title
Simpl ensures frictionless online payments for shoppers with Databricks
…a Demo Login Contact Us Try Databricks Customer Stories / Simpl CUSTOMER STORY Ensuring frictionless payments shoppers can bank on 90% faster-to-deploy ML models 35% improvement in the analytics team’s turnarou…
Description
Indian checkout platform Simpl used Databricks SQL and Lakeflow Jobs to consolidate siloed data and speed up ML model training from several weeks to a single day, cutting time to market for ML models by 90% and improving analytics team turnaround time by 35%.
…pecifically, their turnaround time for reporting tasks has improved by 35%. And our ML models that previously took several weeks to train are now ready within one day, which marks a huge success for our data science team.” These enhancements have…
…ries / Simpl CUSTOMER STORY Ensuring frictionless payments shoppers can bank on 90% faster-to-deploy ML models 35% improvement in the analytics team’s turnaround time for reporting tasks Sim…
…uring frictionless payments shoppers can bank on 90% faster-to-deploy ML models 35% improvement in the analytics team’s turnaround time for reporting tasks Simpl, India’s one-tap checkout and post-purchase experience platform, is on a…
Company
Simpl
…els 35% improvement in the analytics team’s turnaround time for reporting tasks Simpl, India’s one-tap checkout and post-purchase experience platform, is on a mission to deliver secure and hassle-free transactions through advanced machine learning (ML) and artificial intelligence (AI). Catering to around 30,000 merchants and managing over 10 million transactions m…
Country
India
…d hassle-free checkout experience while building consumer trust post-purchase.” Operating exclusively in India, Simpl collaborates with approximately 30,000 merchants and manages over 10 million monthly user transactions, showcasing their substantial market footprint. Simpl’s array of 100+ active wo…
Industry
Financial Services
…g to around 30,000 merchants and managing over 10 million transactions monthly, Simpl demonstrates a significant influence in the fintech sector, bolstered by over 100 active workflows that drive their PayLater services and various financial operations. Previously hampered by an outdated tech stack and siloed data, which caused fre…
Problem
Simpl's outdated tech stack was not built to handle its growing volume of data, causing frequent failures with no common platform for access, and siloed data meant ML models were taking several weeks to train, far too slow for the real-time demands of Simpl's analytical and reporting needs.
…cant scalability challenges with their technology stack. As Goyal pointed out, “Our former tech stack was not just outdated but also incapable of handling our growing amount of data. We experienced frequent failures, with no common platform for access.” The siloed data and lack of a unified platform severely hampered the accessibi…
…s intelligence. Simpl’s teams were caught in cycles of cumbersome deployments. “Some of our ML models were taking several weeks to train. We needed a scalable solution that would reduce this turnaround time to meet th…
Solution
Simpl adopted the Databricks Data + AI Platform, relying on Databricks SQL to democratize data access for querying and dashboarding, and Databricks Lakeflow Jobs to streamline ETL, ML model training and reporting with configurable, autoscaling cluster management and simplified scheduling from the workspace or Git.
…ets, transforming Simpl’s ability to harness data analytics and AI effectively. Goyal’s Data Platform team relies on Databricks SQL and Databricks Lakeflow Jobs to leverage the following benefits. “Databricks has significantly sped up the execution of our analytical and repor…
…ng and analysis, making it accessible to a broader range of users within Simpl. Databricks Lakeflow Jobs has streamlined Simpl’s extract, transform, load (ETL), ML model training and reporting requirements. According to Goyal, “The ability to schedule notebooks from the workspace or Gi…
Business value
Simpl's ML models that previously took several weeks to train are now ready within one day, the analytics team's turnaround time for reporting tasks improved by 35%, and features, enhancements and ML models now reach production with time to market reduced by 90%.
…d performance. According to Goyal, “Productivity has improved across all teams. For the analytics team specifically, their turnaround time for reporting tasks has improved by 35%. And our ML models that previously took several weeks to train are now ready within one day, which marks a huge success for our data science team.” These enhancements have…
…” These enhancements have also translated into tangible business outcomes, with features, enhancements and ML models shipping into production much faster — some at a rate that has reduced time to market by 90%. Now that people with varying levels of tech knowledge across teams can configu…
AI capabilities
Fraud & Anomaly Detection, Predictive Analytics
…h workflow is pivotal in underpinning our PayLater services,” Goyal explained. “Our use cases include underwriting new users, fraud detection, user retention, churn prevention, marketing campaigns for offers, delinquency analysis, financial reporting and other critical KPI tracking.” Simpl faced significant scalability challenges with their technology stack. As…
Technology
Databricks SQL, Delta Lake, Lakeflow Jobs
…etail and Consumer Goods Use Case : Data Science , Data Warehousing Cloud : AWS Product : Databricks SQL , Delta Lake , Lakeflow Jobs Ready to get started? Try Databricks for free Learn more about our product Talk…
Deployment model
cloud
…Industry : Retail and Consumer Goods Use Case : Data Science , Data Warehousing Cloud : AWS Product : Databricks SQL , Delta Lake , Lakeflow Jobs Ready to get started? Try…
Deployment options
cloud
…Industry : Retail and Consumer Goods Use Case : Data Science , Data Warehousing Cloud : AWS Product : Databricks SQL , Delta Lake , Lakeflow Jobs Ready to get started? Try…
Headline outcome
…uring frictionless payments shoppers can bank on 90% faster-to-deploy ML models 35% improvement in the analytics team’s turnaround time for reporting tasks Simpl, India’s one-tap checkout and post-purchase experience platform, is on a…
Use case type
Fraud and anomaly detection
…h workflow is pivotal in underpinning our PayLater services,” Goyal explained. “Our use cases include underwriting new users, fraud detection, user retention, churn prevention, marketing campaigns for offers, delinquency analysis, financial reporting and other critical KPI tracking.” Simpl faced significant scalability challenges with their technology stack. As…
