Cleverbridge Enhances Operational Efficiency with Snowflake AI Adoption
By leveraging Snowflake's Cortex AI, Cleverbridge transforms its analytics capabilities, enabling faster decision-making and improved operational efficiency in the complex landscape of global software sales.
Key Facts
- Cleverbridge's AI adoption cut engineering time by 13–21 months, enhancing operational efficiency.
- Fast insights led to a 33% reduction in report preparation time, boosting client responsiveness.
- $1B+ in software sales shows Cleverbridge's strong market position amid complex global commerce.
- Agentic AI prepares Cleverbridge for future SaaS interactions, enhancing competitive positioning.
- Improved analytics can unlock millions in revenue by swiftly identifying conversion opportunities.
Summary
Summary
Cleverbridge, a global commerce platform, faced challenges in efficiently analyzing complex data to support software sales across multiple markets. By implementing Snowflake Cortex AI, they accelerated internal decision-making and improved access to insights, resulting in a 33% reduction in the time needed to generate performance reports.
Background
Cleverbridge operates in the software commerce industry and has been a leader for over 20 years, managing payment processing, compliance, and fraud prevention for clients selling in more than 240 markets. Prior to deploying Snowflake Cortex AI, the company relied on traditional methods for data analysis, which were often time-consuming and required significant engineering resources.
Challenge
Cleverbridge aimed to simplify data access for its teams and clients, particularly for complex queries that previously required engineers to write SQL statements. The goal was to enhance decision-making speed and accuracy while managing the intricacies of global software sales.
Solution
Cleverbridge adopted Snowflake Cortex AI to create a natural language analytics experience. This solution enabled users to conduct performance reviews, strategic insights, and scenario analyses through natural language prompts, significantly reducing the manual reporting workload for engineers and customer-facing teams. The implementation was completed in just a few weeks, a process that would have taken 13–21 months if done in-house.
Results
The deployment of Cortex AI led to a 33% reduction in the time required to compile performance reports, saving Cleverbridge’s customer success managers over a thousand hours annually. The time to produce performance reports decreased from hours to just five or ten minutes, allowing for quicker identification of performance drivers and operational decisions.
Key Insights
- Implementing AI can drastically reduce the time and effort required for data analysis, allowing teams to focus on strategic tasks.
- Natural language processing tools can democratize data access, enabling more team members to engage with analytics without needing technical expertise.
- Early adoption of AI technologies can position companies advantageously for future developments in their industry.
Customer Testimonial
“Creating our natural language analytics experience with Snowflake was extremely quick. In fact, I don’t think we would have been able to do it on our own, especially when you consider the time and expense of maintaining a platform like that.” — Radu Immenroth, Chief Technology Officer at Cleverbridge.
Entities Mentioned
Companies
Products
Technologies
People
Key Concepts
Definitions
- Cortex AI
- A suite of AI tools from Snowflake that enables natural language queries and analytics for faster data insights.
- agentic commerce
- A commerce model that leverages AI to enhance decision-making and operational efficiency.
- natural language analytics
- A method of data analysis that allows users to interact with data using natural language queries.
- Merchant of Record
- A business entity that is responsible for processing transactions and handling compliance in e-commerce.
- KPI
- Key Performance Indicator, a measurable value that demonstrates how effectively a company is achieving key business objectives.
Use Cases
- →Identifying revenue opportunities tied to conversion and renewals
- →Automating data exploration and initial analysis
- →Providing performance insights through business intelligence dashboards
- →Reducing time for generating performance reports
- →Enhancing client experience with detailed analytics on demand
- →Improving operational efficiency by freeing engineers from routine queries
Frequently Asked Questions
How does Cleverbridge utilize Snowflake Cortex AI?
Cleverbridge uses Snowflake Cortex AI to accelerate internal decision-making and enhance data analysis capabilities. This allows teams to access insights quickly through natural language queries, reducing the need for manual reporting.
What benefits does natural language analytics provide?
Natural language analytics simplifies data access for users, enabling them to generate insights without needing technical expertise. This leads to faster decision-making and improved business strategies.
What is the significance of agentic commerce?
Agentic commerce represents a shift towards using AI to optimize business processes and enhance customer interactions. It allows companies to respond more effectively to market changes and customer needs.
How has Cleverbridge improved its operational efficiency?
By implementing Cortex AI, Cleverbridge has significantly reduced the time required for data analysis and reporting. This has resulted in operational savings equivalent to three full-time employees annually.
What future plans does Cleverbridge have for AI integration?
Cleverbridge plans to expand its AI capabilities by making the agentic experience available to clients and incorporating more unstructured data into its workflows. This will enhance analytics and improve client interactions.