Real problems.
Measurable outcomes.

Three anonymised case studies from live engagements. Every number is real and in production today.

01Industrial ManufacturingPower BI

4-Hour Monday Reports — Automated to a Live Dashboard

The Challenge

A 3-plant manufacturing company ran weekly performance reporting entirely manually every Monday. Four analysts spent 4+ hours pulling data from SQL Server, formatting in Excel and emailing static slides to the management team. The slides were often out of date before they were read.

What We Built

A live Power BI dashboard connected directly to SQL Server with row-level security by plant. Scheduled refresh runs at 6am daily. Every meeting now opens with live data on screen — nobody waits for the Monday report because it no longer exists.

Power BISQL ServerDAXRow-Level SecurityScheduled Refresh
Outcomes
0 min
manual reporting time (was 4 hrs every Monday)
₹22L+
annual savings in analyst time alone
11 days
from kickoff to full deployment and sign-off
02FMCG FinanceExcel VBA

200 Vendor Invoices Per Week — From 6 Hours to 22 Minutes

The Challenge

Finance team at an FMCG company spent every Friday afternoon reconciling 200+ vendor invoices across three separate Excel files: one from the ERP, one from the vendor and one internal tracker. Manual matching, constant errors, frequent re-work, and overtime every single week.

What We Built

Excel VBA automation that opens all three source files, normalises invoice formats, runs three-way matching logic, flags exceptions by category, and generates a formatted exception report. One button, 22 minutes, zero manual copying.

Excel VBAPower QuerySharePointData Validation
Outcomes
22 min
full reconciliation (was 6 hours every Friday)
94%
reduction in time spent on reconciliation
500+
staff-hours recovered per year
03Manufacturing · Supply ChainPower Automate

40 Vendors, Fragmented Files — One Live Supply Chain Command Centre

The Challenge

Supply chain team managed 40+ vendors through separate Excel files and email threads. No consolidated view. Stockouts happened frequently because nobody saw the combined picture. The PO approval cycle took 9 working days from request to release.

What We Built

A Power BI supply chain dashboard pulling from a consolidated SQL database, with automated PO triggers via Power Automate. When any item drops below minimum stock threshold, a Teams alert fires and a pre-formatted draft PO is auto-generated for one-click approval.

Power BIPower AutomateMicrosoft TeamsSQL ServerSharePoint
Outcomes
₹31L
emergency procurement costs avoided in 6 months
68%
reduction in stockout incidents year-on-year
3 days
PO cycle time (was 9 working days)

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