Swapnil NadkarBUSINESS · THINKING · IMPACT
Case studies / Analytical thinking

Show the thinking.
Earn the claim.

A useful case study starts with a meaningful business question, makes its assumptions visible, examines evidence and reaches a recommendation with appropriate limits.

Transparency: The concepts below are illustrative case-study directions, not completed client engagements. Any developed case study will disclose whether its data is synthetic or public, document its assumptions and distinguish illustrative results from real business outcomes.
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Q-commerce unit economics

Can a fast-delivery business grow order volume while improving contribution economics? Examine basket value, fulfilment cost, delivery cost, discounts, cancellations and order density.

Core output: unit-economics model and sensitivity analysis
Proposed case study
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Revenue growth vs profitability

Is reported growth translating into healthier commercial performance? Explore product mix, discounting, contribution margin, channels and customer concentration.

Core output: growth-quality analysis and management priorities
Proposed case study
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Working capital & cash conversion

How might a business improve cash discipline without damaging customer relationships? Model receivables ageing, billing delays, payment terms and exposure scenarios.

Core output: transparent working-capital scenario model
Proposed case study
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Commercial growth levers

Which customers, segments or channels deserve attention? Examine revenue trends, margin, customer concentration, conversion and productivity.

Core output: prioritised commercial decision framework
Proposed case study
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Operational capacity & efficiency

Where might utilisation, demand patterns or process constraints affect cost and service? Explore capacity, turnaround time and operating trade-offs.

Core output: capacity analysis and improvement hypotheses
Proposed case study
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Scaling a business model

What must be true for a promising business model to scale sustainably? Structure the question around proposition, pricing, demand, unit economics, capacity and execution.

Core output: scale-up framework and decision gates
Framework-based case study
How work will be presented

Evidence before claims.

Completed analytical work will include the business question, data provenance, assumptions, method, findings, recommendations and limitations. Excel models, Power BI visuals and DAX measures will be included only when they have actually been built and validated.

Illustrative work will be labelled as such. No fictitious clients, consulting mandates, savings, ROI or commercial outcomes will be presented as real.