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Specialty Chemicals | Finance Transformation

Case Study: Batch-wise & Product-wise Costing

Finance-grade batch costing and traceability solution built on SAP for a complex, multi-unit specialty chemical manufacturing environment.

Batch-wise & Product-wise Costing

Objective

Achieve precise batch-wise costing for PDMB, NDMB, 2,5-DMA and other products while providing reliable monthly product-wise costing for pricing and margin decisions.

  • Achieve precise batch-wise costing for PDMB, NDMB, 2,5-DMA and other products
  • Provide reliable monthly product-wise costing for pricing and margin decisions
  • Enable full parent–child batch traceability including partial consumption and by-product reuse
  • Eliminate dependence on Excel and Google Sheet formulas
  • Standardize SAP data entry via SOPs

Business Problem

The warehouse faced operational inefficiencies due to manual processes and limited system intelligence, resulting in delayed store replenishment. Material traceability was a major issue across production units.

  • Material traceability was a major issue across multiple production units
  • Significant time wasted searching for material and cross-referencing batches
  • High manpower engagement for fetching cost data from SAP
  • Delivery to stores was impacted and delayed due to costing bottlenecks

Strategic Framework & Solution

Methodology: Agile delivery with MoSCoW prioritization was used due to evolving costing edge cases and the client's emphasis on precision over features.

Phase 1

Discovery & Design

Requirement gathering, process mapping, SAP data understanding, and definition of ERP, logistics, and costing workflows.

Phase 2

Build & Integration

Development of core costing modules, Fleet Tracker integration, and automated SAP-to-system data pipelines.

Phase 3

Pilot & Validation

Controlled rollout, batch-wise costing validation, GPS tracking verification, and finance-led output sign-off.

Phase 4

Scale & Optimization

Full-scale rollout across warehouses and plants, SOP enforcement, monitoring, and continuous optimization.

Solution Overview

A comprehensive batch-wise and product-wise costing solution was implemented to address the complexity of multi-stage manufacturing and cross-unit material flows. The solution treats each production batch as a parent entity, linking all consumed raw materials and in-house intermediates as child batches. It supports partial batch consumption with accurate cost carry-forward, ensuring precise traceability across production stages.

  • Automated SAP-to-costing data pipeline — production, material movements, batch records, and cost data extracted nightly from SAP into the costing engine
  • Completely eliminates manual query execution, Excel exports, and formula-based calculations
  • Finance-friendly costing interface — select product code and date range to generate batch-wise cost and monthly product cost outputs
  • Standardized SAP data entry SOP defined and enforced, eliminating duplicate postings and incorrect material issues

Key Features Implemented

Batch-wise costing engine
Product-wise monthly costing
Parent–child batch mapping across units
Mixed RM handling (vendor + in-house)
Automated nightly data refresh
Standardized SAP entry SOP

Before vs After Comparison

Metric
Before
After
Improvement
Trust in costing
Low confidence
Accepted by finance
100%
Effort per cycle
High manual effort
Automated
80% reduction
Costing Accuracy
Inconsistent
Reliable
95%
Batch Traceability
Limited
Full parent-child
100%
Scalability
Complex formulas
Stable model
Scalable

Deployment Impact & Business Value

100%

Batch-wise costing acceptance by finance after SOP and validation

70–80%

Reduction in manual effort by eliminating SAP queries and Excel handling

95%+

Accuracy improvement in pricing and margin decisions using batch costs

100%

Parent–child batch traceability across stages, units, and by-products

Client Portfolio

Leading Indian specialty chemical manufacturer ("Crystal") producing intermediates and specialty products such as 2,5-dimethylaniline. Operations span 4–5 production units across India.

  • Industry: Chemical manufacturer
  • Operations: 4–5 production units across India
  • Products: PDMB, NDMB, 2,5-DMA and other specialty intermediates

Industry Use Cases

Specialty chemical and chemical intermediates manufacturers running SAP, with multi-stage manufacturing, multiple plants and cross-unit batch flows, and significant by-product reuse.

  • Plants requiring accurate batch-wise costing for margin and price setting
  • Traceability for audits, quality investigations, and regulatory reporting
  • Environments where SAP alone is not delivering the required granularity
  • Organizations where spreadsheets have become too complex and fragile

SWOT Analysis

Strengths

  • Finance-grade accuracy with SAP integration
  • Full parent–child batch traceability
  • Automated data pipeline eliminating manual effort
  • Scalable framework for multi-product environments

Weaknesses

  • Initial SAP configuration complexity
  • Dependency on consistent master data quality

Opportunities

  • Expansion to additional product lines and plants
  • Predictive costing with AI/ML models
  • Real-time cost dashboards for management

Threats

  • Raw material price volatility affecting cost baselines
  • Regulatory changes in chemical industry compliance

Conclusion

The batch-wise costing project for the specialty chemical manufacturer successfully bridged the gap between SAP's standard costing capabilities and the client's need for highly granular, traceable cost information in a complex, multi-stage environment. By combining an automated SAP data pipeline, a robust parent–child batch model, and a simple finance-friendly interface, the solution delivered precise batch-wise costing and laid the groundwork for reliable product-wise costing, while significantly reducing manual effort and spreadsheet dependency. The approach and framework used here provide a repeatable blueprint for similar chemical and process industries struggling with costing complexity and ERP limitations.

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