>50% Faster SAP Reporting Through Autonomous AI

Company Overview

As part of its S/4HANA migration initiative, a large plywood manufacturer uncovered a growing risk in its SAP ECC landscape: years of custom ABAP code written for legacy databases, not HANA.

Before: DB-Bound Reports Slowing Migration

• Business-critical reports ran significantly slower than acceptable, impacting finance and operational teams.
• Outdated coding patterns degraded performance as data volumes grew.
• Traditional remediation estimates ran 1 to 2 weeks per program, making large-scale optimization impractical under migration timelines.

Why 2iSolutions US?

2iSolutions' AI agents ran deep static analysis to flag anti-patterns, then rewrote the ABAP using CDS views, set-based SQL, and parallel cursor logic. On the most complex nested-loop logic, this eliminated repeated table scans and dramatically cut processing time, with every change validated against historical test data.

After: Faster, Stable, Scalable

• About 52% faster: a GST-related sales report cut from about 8.6 seconds to about 4.2 seconds.
• Reduced database dominance: database time share reduced from about 80.8% to about 52.9%, shifting the report from database-bound to HANA-aligned execution.
• Scalability improved from fragile under scale to predictable under load.
• 100% functional parity maintained, validated through automated regression testing.

Efficiency Gains

• 4,889 lines of code refactored with zero regressions.
• Delivery velocity: 1 day versus 7 days previously.
• 100% operational risk eliminated, with documentation produced automatically.