Specialized expertise of SAP use cases
Bring Intelligence in Your Business Processes
Private & Secure Models
Agile delivery with tailor made use cases
Deployment possible in SAP BTP, Azure, and GCP
Cost effective home grown services available
ML Based Use Cases
- Anomaly & Fraud Detection from SAP financial/log data
- Customer Churn Prediction using CRM and service data
Deep Learning Apps
- Image-based defect detection for asset-intensive environments using CNN (e.g., wire breaks in AIPM).
LLM Based NLP Apps
- Chatbots for supplier queries or maintenance tickets
- NLP-based insights from contracts/invoices via AIRDOC Insights
SQL Agents for SAP DB
- Use AI to query your SAP databases using natural language turn data into action instantly.
RAG Based Solutions
- Use AIRDOC Insights to extract and structure information from legacy and regulatory documents
- Train vector databases to assist with procurement and compliance intelligence
Agentic AI
- Proactive bots that detect trends (like sales drop) and auto trigger workflows (e.g., notify CFO, assign incidents).
Anomaly Detection in Supply Chain
Leverage AI to detect anomalies in goods movement, such as route deviations, delays, or spoilage.
Benefits:
Prevents financial losses from theft or damage- Enhances delivery accuracy and logistics transparency
- Ensures product quality and regulatory adherence
Customer Churn Prediction
Predict customer churn using ML models trained on historical SAP CRM and sales data, enabling proactive retention strategies.
Benefits:
- Improved retention and lifetime value
- Reduced marketing spend through targeted interventions
- Actionable product / service insights
SQL & NoSQL Agents
Natural language-based agents to query SAP and non-SAP databases without coding.
Benefits:
- Democratizes data access
- Reduces dependency on technical teams
- Accelerates reporting and analytics
AI Discovery & Use Case Prioritization
We begin with focused workshops to identify key business challenges and opportunities for AI. By evaluating your SAP and external data sources, we shortlist high impact AI use cases that align with your goals ensuring quick wins and scalable long term value.
Model Development
Using tools like Python, TensorFlow, and SAP AI Core, we build tailored models to solve specific problems like predicting equipment failure or identifying supplier risks. These insights are seamlessly integrated into SAP Fiori, mobile apps, or dashboards for real time decision making.
Cloud-Agnostic Deployment
Our AI solutions can be deployed on SAP BTP, Azure, AWS, or GCP depending on your infrastructure and budget. We support hybrid deployments too, ensuring performance, scalability, and compliance with your enterprise IT policies.
Continuous Learning & Improvement
Post deployment, we implement MLOps to monitor, retrain, and optimize models regularly. This ensures accuracy improves over time and that AI continues to support evolving business needs with agility and precision.
Optimizing Production Efficiency with Fiori-Based Reporting
A customised Fiori-based Daily Production Report (DPR) application helped a bearing manufacturing client optimise daily production tracking, enhance machine and tool utilisation, and securely provide contract employees with access to critical data, all while reducing operational costs.
Streamlining Vendor Communication with SAP BTP Portal
A customised SAP BTP-based vendor portal helped a manufacturing client eliminate email-based communication challenges, streamline vendor schedules, quality certifications, and ratings, and improve operational efficiency with real-time updates and integrated reporting.
Migrated applications from Azure to SAP BTP, enhancing scalability and performance.
A customized SAP BTP-based vendor portal and Master Data Governance (MDG) solution helped the client improve data management by streamlining vendor communication, eliminating duplicate records, and ensuring efficient approval workflows for master data in SAP.
