Sirisha Ayyagari

From Static Rules to Smart Decisions: AI-Driven Pricing Optimization in Enterprise SAP Systems

Abstract :

Enterprise pricing is broken. Most organizations still rely on static rule-based systems that can't respond to market shifts, leaving revenue on the table and pricing teams buried in manual work. In a landscape where margins are tightening and customer expectations are rising, that's no longer sustainable. This session presents a production-tested, AI-driven pricing optimization framework built on enterprise SAP systems, designed to improve pricing accuracy, operational efficiency, and Order-to-Cash cycle speed.

The core of the framework is a hybrid architecture that separates concerns cleanly: SAP handles transactional consistency and financial validation, while an external AI engine performs real-time pricing optimization. Machine learning models ingest inputs including historical sales data, customer segmentation, demand patterns, and regional factors, returning optimized price recommendations, discount percentages, and risk-adjusted pricing in real time. The integration is achieved through HTTP-based APIs and SAP BAdI frameworks, maintaining full clean core compliance with zero modification to standard SAP objects.

Real-world enterprise deployment of this framework produced measurable reductions in manual pricing interventions, improved pricing accuracy through context-aware demand-sensitive adjustments, and enhanced market competitiveness through region-based dynamic pricing logic. Attendees will walk away with a clear architectural blueprint, practical integration patterns in ABAP, and a replicable model for embedding AI into their own SAP pricing workflows without compromising system integrity or financial controls. Whether you're in SAP architecture, pricing strategy, or enterprise AI, this session gives you the framework to move from static pricing to intelligent, adaptive decision-making at scale.

Profile:

 Ayyagari Sirisha is a seasoned SAP ABAP Technical Lead with 19 years of experience delivering enterprise-grade solutions across SAP S/4HANA, SAP ECC, and SAP CRM platforms. Based in Morrisville, North Carolina, she currently serves at IBM Corporation, where she leads technical delivery for IBM's global transformation program, Blue Harmony, supporting enterprise processes including Opportunity-to-Order, Order-to-Cash, and Finance.

Sirisha specializes in SAP Sales & Pricing, Order-to-Cash (OTC) processes, and billing optimization, with deep expertise in ABAP OO, BAdIs, enhancement frameworks, OData services, and Adobe Forms. She has a strong track record of resolving high-severity production incidents, architecting scalable pricing automation solutions, and driving clean, core-aligned modernization strategies across complex global environments.

Over her career, Sirisha has led technical delivery across large-scale SAP programs supporting diverse global clients. She is known for her ability to bridge business requirements and technical execution, collaborating with global stakeholders, mentoring development teams, and enforcing quality governance through SAP Solution Manager.

Sirisha holds multiple SAP certifications, including SAP S/4HANA Cloud Private Edition Sales, ABAP Cloud Back-End Development, ABAP for SAP HANA 2.0, and Pricing in SAP S/4HANA Sales. Her contributions have earned her IBM's Blue Thanks Award, the Blue Harmony Deep Dedication Medal, and multiple special recognitions from leadership and clients. She holds a Bachelor of Technology in Electrical & Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad, India.