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Manufacturing (Cement)

Up to 80% Faster SAP Reporting Through Autonomous Agentic AI

Automated ABAP optimization with zero functional risk, 58 to 80% faster and 100% functional parity

LocationIndia
Up to 80% Faster SAP Reporting Through Autonomous Agentic AI

Company Overview

One of the most complex SAP landscapes we have worked in, with hundreds of custom ABAP programs spanning sales and distribution, finance, procurement, and logistics. Several programs, including country-specific e-invoicing and e-bill detail reporting, customer credit risk and sales reporting, and invoice exception reporting, had become serious operational bottlenecks.

Before: Timeouts and Bottlenecks Ahead of the 2027 ECC Sunset

  • Reports were fetching data one record at a time inside loops, instead of retrieving it in bulk, over thousands of records.
  • The same user and customer master data was being looked up repeatedly on every iteration, instead of being fetched once and reused.
  • Table scans ran from start to finish where a faster, indexed lookup was possible.
  • With S/4HANA migration in progress and the 2027 ECC sunset approaching, manual remediation was estimated to take months of scarce ABAP developer time.

The Solution

AI agents rewrote the reports to fetch data in bulk instead of one record at a time, added fast lookups on preloaded data, cached user and master data upfront instead of re-fetching it, and restructured the heaviest logic to avoid scanning full tables. Every change was validated through automated regression testing against live production workloads.

After: Faster, Stable, Zero Functional Risk

  • 58% faster: the country-specific e-invoicing and e-bill detail report went from 42 seconds to 17.6 seconds.
  • 80% faster: the customer credit risk and sales report went from 21.6 seconds to 4.3 seconds.
  • 59% faster: the invoice exception report went from 37.4 seconds to 15.5 seconds.
  • 100% functional parity maintained, with zero business logic changes.

Efficiency Gains

  • 110,000+ lines of custom code refactored.
  • Delivery velocity: 1 day versus 1 month previously.
  • Estimated 80 to 90% cost savings versus conventional remediation models.

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