AI & Data Analytics for Improved Customer Success & Operational Efficiency
Case Studies
Case Studies

AI & Data Analytics for Improved Customer Success & Operational Efficiency

SPS accelerated AI and data science efforts by expediting data access while maintaining strict data privacy standards.

About the Client

SPS is the leading outsourcing provider of innovative services in business processing and data management. Building on its Swiss foundations and global footprint, SPS is the trusted partner for process optimization and intelligent automation.

Use Case

Operational Efficiency

Industry

Outsourcing: Business Processing & Document Management Services

Before
  • Delayed insight & complex risk driver identification process
  • Expensive data engineering overhead
  • High cost for risk misalignment
After
  • Fully trained AI model in less than 6 weeks
  • Over 90 percent accuracy in forecasting workload volumes
  • Improved customer service and operational efficiency

The Objective

SPS was looking to develop predictive analytics to improve staffing alignment and utilization. Specifically, they wanted to predict daily volumes for the upcoming five rolling business days. SPS's goal was to use these predictions to determine staff requirements by zone and better steer the client on downstream processing needs.

The Challenge

SPS experienced a varying and unpredictable daily volume of its client's loan documentation for processing. This presented a significant challenge to the business regarding staffing utilization and SLA compliance and resulted in inconsistent levels of efficiency.

Disparate data sources, inconsistent/incomplete data, and limited in-house data science resources provided significant headwinds to making more data-centric and AI-driven decisions as an organization.

Data Challenges
3+ Disparate Data Sources
3+ Disparate Data Sources
Heterogeneous Schema
Heterogeneous Schema
Sensitive Data (PII)
Sensitive Data (PII)
Data Description
Tabular Format
Tabular Format
Megabytes of Data
Megabytes of Data
Internal Data
Internal Data

Devron Solution

AI & Data Analytics for Improved Customer Success & Operational Efficiency

Working with Devron's data science experts and using its federated machine learning and data science platform, SPS developed a predictive AI model for determining critical daily work volumes. The team leveraged Devron to analyze disparate, private datasets without moving data, including loan package volumes, processing stage details, and broader external market data, such as interest rates, to better predict loan documentation volumes.

SPS also analyzed workload sources and employee efficiency to provide insight to its customer to streamline the operation jointly.

Client Results

In less than six weeks, SPS had a predictive AI model that forecasted daily volumes with over a 90 percent accuracy rate, vastly improving customer service and operational efficiency.

Fully Trained AI Model
Fully Trained AI Model
Model Accuracy
Model Accuracy
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SPS seeks out innovative ways to improve operational performance for its clients. The partnership and solution provided by Devron was an accelerant for our AI and data science efforts as it expedited data access while maintaining our strict data privacy standards.

With the ability to unlock new value from our data, SPS will continue to expand its AI capabilities for client service and internal efficiency.

Dan Moscatiello
CEO of SPS North Americas

Devron Benefits

Devron enables data science teams to realize enhanced outcomes, improved data science agility, and reduced overhead—all without moving or exposing data.

Customer Service & Satisfaction

Proactive insight into workload volumes allowed SPS to manage service levels better and set customer expectations for downstream processing requirements.

Business Operations Improvement

SPS gained greater visibility into staffing requirements across the different work functions and zones and better-aligned resources.

Customer Guidance & Advice

SPS obtained new insight into their customer's customers, highlighting accounts consistently requiring greater resources. As a result, SPS was able to help its customers identify pricing and service level adjustment opportunities.

Employee Effectiveness & Efficiency

SPS discovered deeper insights into employee efficiency, better-analyzed staff performance, and identified areas for additional training.