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Streamlining Order Management Across Fragmented Enterprise Systems

We assessed and redesigned a fragmented application landscape and implemented integrated order-processing applications on a microservice-based architecture. The programme focused on data flow, workflow integrity, phased rollout, and team adoption—resulting in improved order processing and measurable efficiency gains (including a reported 35% increase in net order value).

Setting

Sun Pharma (noted as a leading pharmaceutical company with ~USD 5B annual revenue in the document) operated across multiple enterprise tools and vendors—Oracle Netsuite, ERPNext, Tally, QuickBooks, Salesforce, and custom applications—creating a fragmented landscape that directly impacted order processing efficiency.

The real problem

Fragmentation created four practical failures:

  • data integrity issues and discrepancies
  • communication barriers across teams
  • order management delays, especially in purchase order processing
  • increased technical debt and IT spending due to complexity and duplicated effort

In enterprise order processing, these issues compound: every delay creates follow-ups, manual reconciliation, and escalations that inflate operational cost and risk.

The decision moment

Before building, the programme began with a structured consulting phase: engaging internal teams and vendors, gathering requirements with stakeholders, auditing infrastructure, mapping data/workflow paths, benchmarking, and collecting end-user feedback.

This is a critical point: large organisations rarely fail because they lack tools. They fail because they do not align systems to actual workflows and ownership.

Implementation thinking

Execution focused on building integrated order-processing applications while preserving existing backend realities. Key engineering decisions included:

  • designing an integrated architecture plan and providing boilerplate aligned to the current fragmented stack
  • implementing microservice architecture for integration, modularity, and safer evolution

Migration was handled through a phased transition model: training and support, gradual rollout, and continuous feedback iteration to reduce disruption and ensure adoption.

Operational impact

The case study reports measurable and practical outcomes:

  • improved order processing with reduced delays and errors
  • reduced IT spending by lowering the need for additional teams
  • improved cross-team communication
  • a reported 35% increase in net order value after implementation, attributed to efficiency and automation gains

Strategic takeaway

Enterprise modernisation succeeds when integration is treated as a workflow problem, not a middleware problem. This engagement focused on rebuilding order-processing reliability through structured discovery, microservice-based integration, and controlled rollout that protected the business while change was introduced.