Case Studies
Discover how leading organizations leverage XSIS AI to solve complex challenges, drive innovation, and achieve measurable business impact.
Predicting & Preventing Customer Churn
E-commerce & SaaS Providers
The Challenge:
"We're losing customers, but we're not sure why or who is most at-risk. Our marketing efforts feel like a shot in the dark to re-engage them."
Our Solution:
Our data scientists analyze historical customer data to build custom ML models that predict churn and identify at-risk customers.
35%
Churn Reduction40%
CLTV Increase320%
ROIIntelligent Document Processing
Logistics, Legal & Healthcare
The Challenge:
"Our team spends hours manually reading invoices, contracts, or patient forms. It's slow, error-prone, and costly."
Our Solution:
We develop IDP solutions using OCR and NLP to digitize, understand, and extract specific information from documents.
85%
Time Saved95%
Error Reduction60%
Cost SavingsAI-Powered Customer Support
B2C & B2B Companies
The Challenge:
"Our support team is overwhelmed with repetitive questions. Wait times are increasing and satisfaction is dropping."
Our Solution:
Custom AI chatbots trained on FAQs and support scenarios, using NLP to understand natural language queries.
<1 sec
Response Time65%
Cost Reduction30%
CSAT IncreaseAutomated Quality Inspection
Manufacturing Plants
The Challenge:
"Manual inspection is subjective and misses defects, leading to rework, scrap, and customer complaints."
Our Solution:
Computer Vision system for real-time automated quality inspection using AI-trained defect detection models.
99.5%
Defect Detection40%
Scrap Reduction+25%
ThroughputAI Recommendation Engine
E-commerce & Content Platforms
The Challenge:
"Generic user experiences fail to convert. We know personalization could increase sales but don't know how."
Our Solution:
Custom recommendation engine analyzing user behavior to deliver personalized product and content suggestions.
28%
Conversion Lift22%
AOV Increase+45%
EngagementAI-Enhanced Business Intelligence
Data-Rich Organizations
The Challenge:
"We have tons of unstructured data but it's overwhelming to analyze. We're missing key strategic insights."
Our Solution:
NLP-powered analysis of text data with sentiment analysis, topic modeling, and automated summarization.