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Each case study shows the problem, what we built and what changed. Dashboards are recreated with names and figures changed, unless the client agreed to be named.

Herbal and pharmaceutical manufacturing, India

From goods receipt to dispatch, in one view

8report pages
300+GRN lines
200+SKUs in one model

Client

A herbal and pharmaceutical manufacturer running extraction, drying and packaging, with raw-material, R&D, packaging and finished-goods stores.

Challenge

Goods receipts, batch production, raw-material issues and dispatches were tracked by hand in separate sheets. Nobody could see yield, batch cycle time or stock health without hours of work, and slow batches surfaced only after the fact.

Solution

  • Google Apps Script forms that capture GRN, batch production, raw-material issue and dispatch data at source
  • A Power BI data model joining every store and stage, from raw material to finished goods
  • Stock health classified automatically in DAX: healthy, low, non-moving and out of stock
  • Yield % and batch cycle time calculated from raw production logs
  • Filters by year, quarter, month, category, product, lot and GRN number

Results

  • One reporting layer for 300+ GRN lines and 200+ SKUs, replacing manual tracking
  • Yield, cycle time and equipment utilisation visible without manual calculation
  • Slowest batches and non-moving stock flagged on the dashboard instead of found at month-end

Pages delivered

Executive summaryGRNRaw materialR&D and QCPackagingFG inventory and dispatchFG primary and secondaryWork in progress

Tools

Google Apps Script, Power BI Desktop, DAX, Power Query

Manufacturing Dashboard: Executive SummarySample company
FY 2026-27Quarter: AllMonth: AllProduct: AllStage: Drying
84Total batches
7,412Production, kg (drying)
21,860Raw material used, kg
34.2%Average yield
3.9Avg batch cycle, days
93.6Avg batch cycle, hours

RM consumption trend (kg)

Production trend (kg, drying)

Yield % trend

RM consumption by product (kg)

Product-wise production (kg, drying)

Batch status

Equipment utilisation %

Top 5 slowest batches

BatchProductExtraction (h)Drying (h)Cycle (h)Cycle (days)
TU/05/03Tulsi31.008.0040217
BR/04/02Brahmi36.009.0026611
TU/06/11Tulsi14.0046.001386
GI/05/07Giloy16.0030.001315
TU/06/04Tulsi13.0027.001195

Recreated from a client project. Names and figures changed.

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Brijesh Sharma, Microsoft Certified Power BI Data Analyst